Nader Ale Ebrahim
@en.alzahra.ac.ir
Research Visibility and Impact Center (RVnIC)
Adjunct Lecturer, Research and Technology Department, Alzahra University, Vanak, Tehran, Iran
Nader Ale Ebrahim is a highly experienced research consultant and adjunct lecturer with a background in technology management and new product development. He holds a Ph.D. in Technology Management from the University of Malaya. In addition to his current position as a "Research Visibility and Impact" freelancer consultant, Nader has also served as an adjunct lecturer at Alzahra University. His research interests include university rankings, open access, research visibility, research tools, and bibliometrics.
Nader is well-known for his expertise in research tools and has developed the "Research Tools" Box as a resource for researchers. He has conducted numerous workshops on the topic and has published over 100 papers and articles in various journals and conferences. His publications have received over 4500 citations (h-index = 29). Nader is committed to helping researchers disseminate and promote their work in order to enhance its visibility and impact, and has received recognition and
EDUCATION
December 2007- August 2012 Ph.D., Technology Management (Title of thesis: “Development of an Effectual Collaborative Model for New Product Development in SMEs through Virtual R&D Teams”), Department of Engineering Design and Manufacture, Faculty of Engineering, University of Malaya
1992 – 1995 Master of Science in Mechanical Engineering (Energy Conversion), top student, with distinction and prize, Faculty of Engineering, University of Tehran
1988 - 1992 Bachelor of Science in Mechanical Engineering (Fluids & Heat Transfer), top student, with distinction and prize, Faculty of Engineering, University of Tehran
RESEARCH, TEACHING, or OTHER INTERESTS
Industrial and Manufacturing Engineering, Multidisciplinary
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Seyedh Mahboobeh Jamali, Nader Ale Ebrahim, and Fatemeh Jamali
Springer Science and Business Media LLC
Sanaz Vatankhah, Mahlagha Darvishmotevali, Roya Rahimi, Seyedh Mahboobeh Jamali, and Nader Ale Ebrahim
Emerald
Purpose Multi-criteria decision-making (MCDM) techniques are decision support systems that provide systematic approaches to solve hospitality and tourism (H&T) problems while minimizing the risk of failure. However, less is known about the application of MCDM techniques in H&T research. This study aims to systematically assess the use of MCDM techniques in H&T research to classify its current application and determine its application potential for H&T research. Design/methodology/approach This study used bibliometric analysis to examine all published MCDM studies focused on H&T industries, since 1997. In addition, topic modelling was used to discover key concepts. Finally, top cited studies in terms of total citations per year and total citations were qualitatively reviewed for more insights. Findings The findings revealed an ongoing interest in applying MCDM techniques in H&T research. Specifically, the extension of fuzzy theory in MCDM techniques is burgeoning among H&T researchers. However, a certain number of MCDM techniques seem to be ignored in this field with a repetitive application of MCDM techniques in particular areas. Research limitations/implications The data for the current research was solely retrieved from Scopus and other databases were not included. Therefore, future research is called for to re-examine the study by considering data from various databases. Originality/value This study contributes to extant H&T literature by identifying the most prolific and influential countries, journals, publications and trends by applying MCDM techniques in H&T research, and elucidating the implications and characteristics of MCDM techniques in H&T research.
Shahryar Sorooshian and Nader Ale Ebrahim
IGI Global
With scientometric and archived data analysis, this short report tries to investigate archives of journals versus their defined aims and scope. Hence, case explorations of two journals performed by mapping their collection which resulted in a strategic evaluation of the journals' shortcomings. A suggestion, with this short report, is presented to the editorial board as the conclusions. Moreover, the main contribution of the study is to use the two cases as a feasibility approval to comment on the possibility of journal strategic direction and management of call for papers via a scientometric approach.
Afsaneh Tavassoli, Sara Modares Gharejedaghi, Maliheh Abedi, Seyedh Mahboobeh Jamali, and Nader Ale Ebrahim
Academic World Research
Background Bibliometric analysis may indicate the most active specialist, authors, and journals in a given research field. To the authors' knowledge, there is no bibliometric analysis to provide a macroscopic overview in the field of secondhand smoke that harms non-smoker. Methods Using the bibliometric method, 644 articles that were present in the Scopus database between 1973-2020 on the subject were considered. The data were analyzed by two visualization and science-mapping software called Bibliometrix and VoS Viewer. Also, reference publication year stereoscopy and Co-Citation historiography were used. In the qualitative analysis, 52 articles were selected that had the most citation and were analyzed. Results In this paper, the findings show that the documents were published in 364 sources with an average citation per document of 25.14 and more than 3 authors or nearly 4 authors per document. The peak reference publication year stereoscopy happened in the year 199 with 974 references. The countries with the highest number of MCP were the USA, China, and Spain. The “International Journal of Environmental Research” and “Public Health”, has raised their publications in the field of secondhand smoke and pregnancy rapidly since 2003. Among the titles, "passive smoking" was the most used. Conclusion The study highlights the importance of understanding the harmful effects of secondhand smoke on the developing fetus. The findings also shed light on key research trends, influential authors, and active research areas, which can guide future studies and support evidence-based decision-making in the field of maternal and child health.
Xue Tao, Hafiz Hanif, and Nader Ale Ebrahim
Sciedu Press
Barry J Zimmerman considered that self-regulated learning is an active learning process including strategy use, metacognition, and motivation. Self-regulation failure is the core problem of academic procrastination, which seriously threatens academic success. The present research aims to provide a complete outline of SRL and catch the trends and current hotspots. VOSviewer and Bibliometric software was used to analyze the data from the Web of Science core collection database. The results showed that there are a considerable number of publications of articles on self-regulated learning every year; the USA is the most influential country, and Maastricht University is the most productive institution; it is clear that most authors do not like to cooperate with others, which leads to major groups of writers like Azevedo Roger and Gasevic Dragan. The Frontiers in Psychology is an influential journal that received much more articles and citations. The main hotspots of self-regulated learning were: (a) self-regulated learning; (b) self-regulation; (c) metacognition; (d) motivation; (e) learning analytics. In a word, this study is useful for practitioners and scholars to comprehensively understand the trend of self-regulated learning research.
Sara Heidary, Zahra Hashemi, Seyedeh Mahboobeh Jamali, and Nader Ale Ebrahim
Springer Science and Business Media LLC
Shahryar Sorooshian, Seyedh Mahboobeh Jamali, and Nader Ale Ebrahim
American Institute of Mathematical Sciences (AIMS)
<abstract> <p>Multiple attribute decision-making (MADM) techniques constitute a practical approach for solving complex problems involving multiple and often conflicting criteria. Decision-making trial and evaluation laboratory (DEMATEL) is a popular MADM technique with both admirers and critics. This study presents a comprehensive review of DEMATEL through bibliometric analysis using the Scopus database. This article examined 3,521 papers published in journals, conferences or books between 1981 and 2023. We examined a few parameters for commenting on the performance of the technique. Among them are research outputs, the network of DEMATEL users, implementation subject areas, research zones, financing opportunities and publication hosts and their impact trends. We conclude from the findings of this study that the DEMATEL is capable of dealing with modern problem-solving in future environments. Although the growth of new MADMs is obvious, based on the gathered data, we forecast that more than 776 documents will be published in 2025 using DEMATEL for problem-solving. This expanding tendency will continue in the future. As distinct MADMs have diverse constraints, foundations, computing complexity and standpoints, which result in different performances, outmoded low-performance MADM techniques must be reported by researchers to continue this paper's objective to minimize ambiguity among decision-makers and practitioners. To facilitate such a comparison in the future, a quantitative performance coefficient was also developed here.</p> </abstract>
Afsaneh Tavassoli, , Sima Soltani, Seyedeh Mahboobeh Jamali, Nader Ale Ebrahim, , , and
Negah Scientific Publisher
Objectives: Violence against women is a global public health problem. Although there has been much research done on violence against women, there are few studies that provide the current scientific production. Methods: In this study, bibliometric analysis has been used to evaluate the 1984 documents from 1986 to 2020 based on the Scopus database. These documents were analyzed quantitatively by the Bibliometric R Package and the VOS viewer software. In addition, the 20 top-cited papers were analyzed qualitatively. Results: The research findings show that the United States is a leader in this field with the most highly cited articles and also the greatest number of publications followed by the United Kingdom, Canada, Australia, and South Africa. A total of 1984 documents were collected from the Scopus database and were analyzed in the Bibliometric R Research Package and the VOSviewer software. The results demonstrated that the average citations per year for each document were 23.39% and the annual scientific production growth rate was 16.86%. The keywords analysis indicates that most articles focus on “sexual violence”, “sexual assault”, “intimate partner violence”, “violence against women”, “sexual abuse”, “domestic violence”, “child sexual abuse”, “prevention”, and “rape.” Sources such as the “Journal of Interpersonal Violence”, “Journal of Violence Against Woman”, “Journal of Violence and Victims”, “Psychology of Women Quarterly”, “Journal of Adolescent Health”, “Journal of Consulting and Clinical Psychology”, “American Journal of Public Health”, “Journal of Consulting and Clinical Psychology”, and “American Journal of Public Health”, and “The Lancet” are the top most productive in this field. Discussion: Examining the articles showed that the vast majority of women have experienced verbal, sexual, intimate partner violence, cyber harassment, and so on.
Shahryar Sorooshian, Noor Azlinna Azizan, and Nader Ale Ebrahim
International Information and Engineering Technology Association
Multiple Criteria decision-making (MCDM) approaches are required for complex issue resolution. However, it is debatable whether MCDMs applicability will be able to stay within the analytical possibilities for dealing with divorce issues. As a result, one of the newly introduced MCDMs Weighted aggregated sum product assessment (WASPAS), is chosen for evaluation. Therefore, this study examined 388 documents from archive of the Scopus database. To evaluate the diversity of the technique's application, the data analysis looked at a few bibliometrics measures. So, the publishing hosts and their influence patterns are displayed, the vast majority of the documents were in the fields of engineering and computer science. According to the findings, the WASPAS can deal with variety of problem-solving scenarios. Hence, this work is summed up with the aim of lowering uncertainty among decision-makers and scholars.
Zahra Ghorbani, Sanaz Kargaran, Ali Saberi, Manijeh Haghighinasab, Seyedh Mahboobeh Jamali, and Nader Ale Ebrahim
Springer Science and Business Media LLC
Xiangjun He, , Charanjit Kaur Swaran Singh, Nader Ale Ebrahim, , and
Scientific and Educational Initiative
The problem and the aim of the study. Higher-order thinking skills is a very popular concept in education field around the world. Among the broad range of higher-order thinking skills, recent studies are concentrating on fostering higher-order thinking skills in education. The number of related publications demands a bibliometric study for finding the keywords, sources, countries, and research clusters. And the study carried out a bibliometric analysis of the relevant publications on higher-order thinking skills from Scopus database between 2011 and 2020. Research methods. A visual system of top keywords in higher-order thinking skills research has been produced by analyzing of keywords co-occurrence. And by using bibliography inquiry, the most common topic of blended learning has been found. This study also investigates the recent publication trend of higher-order thinking skills in blended learning. Results. The annual number of publications demonstrates an uptrend in the area of higher-order thinking skills, and the publication rates have increased distinctively in 2018 and 2019. Indonesia and the United States have already become the two major research centers while Malaysia and Australia are joining the research circle in the near future. Related publications had been related to the field of education and metacognition from the very beginning in 2016, and then to the field of higher education, critical thinking and assessment, followed by active thinking and learning in 2017, and eventually to blended learning and flipped classroom in 2018. The systematic structure shows that the United States and Korea have more papers from joint efforts than other countries. In particular, Korea became the most collaborative country. The Journal of Physics: Conference series has signified an increasing occurrence in publications on Higherorder thinking skills in blended learning with “student” acting as the most influential word. Fostering higher-order thinking skills cultivation in flipped classroom and scaffolding higher-order thinking skills activities in learning approaches are both crucial areas involved. In conclusion, the quantitative analysis on higher-order thinking skills through bibliometric study has revealed the recent subfield of blende learning. Thus, the dataset is further refined by blended learning, considering publication year, sources, countries and organizations, keywords and topics. The annual output of publications on higher-order thinking in blended learning have risen in the past ten years, showing it is more likely to keep developing in the near future.
Sanaz Kargaran, Masoumeh Hosseinzadeh Shahri, Zahra Ghorbani, Ali Saberi, Seyedh Mahboobeh Jamali, and Nader Aleebrahim
Emerald
Purpose Today social media capabilities have enabled businesses and enterprises to more collaboration, engagement and co-creation with their customers. So the current paper expands on this notion. The aim of this study is a bibliometric analysis to examine the trends of publications in the field of co-creation based on social media. Design/methodology/approach To data collection of quantitative analysis, Scopus database was selected and the collected data were analyzed using Bibliometrix-package. The Web of Science also was selected to retrieve highly cited and hot papers for qualitative part of analysis besides top 10 Scopus highest citation per year documents on June 6, 2020. Findings The results indicate insights into research trends pertaining to social media-based co-creation, as follows: starting jump to the publications occurred in this researches from the year 2008 and the growth trend is progressing in recent years; the stressful points are “co-design,” “co-creation” and “value co-creation” and concepts such as “open innovation,” “co-innovation” and “co-new product design” are new topics that guide future direction; the USA and UK are leaders in number of multiple and single publications; the most active and top journals that are better suited to achieving a high citation rate per year for a related paper were introduced. In addition, the top documents and highly cited papers were qualitatively analyzed on the basis of times cited per year. Research limitations/implications The current study is not free of limitations. The database was limited to only Scopus. So the patterns and trends generated in the study may not be generalized to all social media-based co-creation research. Of course, the authors did not intend to ignore other contributions. It is mainly because of the number of documents retrieved from Scopus database and the coverage, Scopus was selected. Moreover, other types of research techniques such as correspondence analysis can be incorporated to generate additional meaningful insight. Originality/value In this time of social media and user-generated content portals, co-creation through social media has become quite popular. So the main innovation of this study is providing a visual presentation of the trends and patterns in the evaluation of social media-based co-creation from the first document about the research area published till 2020. The results of this paper can shed light on the factors that strengthen the contribution of studies in a research area. Generally, the bibliometric items the authors analyzed essentially show the entire field picture and guide researchers toward understanding future trends to produce impactful studies.
Alireza Habibi, Maryamossadat Mousavi, Seyedh Mahboobeh Jamali, and Nader Ale Ebrahim
Informa UK Limited
ABSTRACT This bibliometric study analyzes 1535 publications from 1952 to 2020 on medical tourism. The aim of the study is to portray medical tourism publication trends from different perspectives such as the main subjects, word dynamics, authors’ originations and finally research gaps and future directions. The study shows that concepts like “perceived value” and “destination image” are among the emerging concerns in recent studies. The themes of research were grouped into six themes of marketing, economic & political, social & cultural, ethical, technological and governmental within these categories, factors affecting emotional aspects of tourists’ decision-making were found to be under-studies, compared to factors feeding the cognitive side of their choice of destinations.
Xue Tao, Hafiz Hanif, Hamsa Hameed Ahmed, and Nader Ale Ebrahim
Frontiers Media SA
Numerous students suffer from academic procrastination; it is a common problem and phenomenon in academic settings. Many previous researchers have analyzed its relationships with other factors, such as self-regulation and academic success. This paper aims to provide a full outline of academic procrastination and explore the current hot spots and trends. Bibliometrix and VOSviewer were used to conduct quantitative analysis. The data was collected from the Web of Science core collection database, which contains 1,240 articles from the years 1938 to 2021. The analysis shows that the publication of articles on academic procrastination has been rapidly increasing since 1993. In terms of the most influential countries and institutions, the United states took a prominent lead among all countries, and the most productive institutions in this area were the University of Washington and University of California, Los Angeles. By analyzing the authors, we see that most authors like working with a few collaborators, leading to main groups of authors, such as Murat Balkis and June J. Pilcher. The most frequently cited author was Esther D. Rothblum. Based on the co-citation journals network, Personality and Individual Differences was the prolific and influential journal referring to the number of citations and articles it received. The VOSviewer tool identified the hot spots of academic procrastination, which were mainly distributed as follows: (a) procrastination, (b) academic procrastination, (c) self-regulation, (d) academic performance, and (e) motivation. Therefore, this paper is helpful for scholars and practitioners to know the trend of academic procrastination research comprehensively.
Bin Zhang, Bahbibi Rahmatullah, Shir Li Wang, Guangnan Zhang, Huan Wang, and Nader Ale Ebrahim
Wiley
Abstract Purpose Medical images are important in diagnosing disease and treatment planning. Computer algorithms that describe anatomical structures that highlight regions of interest and remove unnecessary information are collectively known as medical image segmentation algorithms. The quality of these algorithms will directly affect the performance of the following processing steps. There are many studies about the algorithms of medical image segmentation and their applications, but none involved a bibliometric of medical image segmentation. Methods This bibliometric work investigated the academic publication trends in medical image segmentation technology. These data were collected from the Web of Science (WoS) Core Collection and the Scopus. In the quantitative analysis stage, important visual maps were produced to show publication trends from five different perspectives including annual publications, countries, top authors, publication sources, and keywords. In the qualitative analysis stage, the frequently used methods and research trends in the medical image segmentation field were analyzed from 49 publications with the top annual citation rates. Results The analysis results showed that the number of publications had increased rapidly by year. The top related countries include the Chinese mainland, the United States, and India. Most of these publications were conference papers, besides there are also some top journals. The research hotspot in this field was deep learning‐based medical image segmentation algorithms based on keyword analysis. These publications were divided into three categories: reviews, segmentation algorithm publications, and other relevant publications. Among these three categories, segmentation algorithm publications occupied the vast majority, and deep learning neural network‐based algorithm was the research hotspots and frontiers. Conclusions Through this bibliometric research work, the research hotspot in the medical image segmentation field is uncovered and can point to future research in the field. It can be expected that more researchers will focus their work on deep learning neural network‐based medical image segmentation.
Wenhao Chen, Md Manjur Ahmed, Wan Isni Sofiah, Nor Ashidi Mat Isa, Nader Ale Ebrahim, and Tao Hai
Institute of Electrical and Electronics Engineers (IEEE)
Nowadays, under the pressure of numerous research publications, researchers increasingly pay attention to writing survey papers to track and understand one research topic they are interested in, and then begin to conduct more in-depth research. Until this moment, there are two types of survey papers: traditional review analysis and bibliometric statistical analysis. Compared with traditional review analysis, due to the analysis of various bibliometric information that can be quickly summarized to assess and predict one research field’s development, the bibliometric statistical analysis is progressively proposed. However, no research relied on the bibliometric approach to explore fuzzy inference system (FIS) -based classifiers. More importantly, since the current open-ended bibliometric analysis approaches have different assessment focuses, choosing a suitable approach is problematic. Therefore, based on the extraction, integration, and expansion of previous bibliometric analysis theories, this research proposes a new systematic and time-saving bibliometric statistical analysis approach. It is worth noting that the proposed approach eliminates the need to read the internal content of all publications. Two core parts (Publication Information and TOP 20 SETs) are generated by the proposed analysis approach. Among them, analyzing Author Keywords and TOP 20 SETs are unprecedented guiding features to assist researchers in exploring research topic. Significantly, this research relies on the proposed approach to explore FIS-based classifiers. Various assessments cover the bibliometric information of the entire related publications. In addition, these results may need to be considered to increase the citation rate of future publications.
Ghodsi Mohammadi Ziarani, Fatemeh Mohajer, Seyedh Mahboobeh Jamali, and Nader Ale Ebrahim
Bentham Science Publishers Ltd.
Rose Oxide is a monoterpene along with cyclic ether used in fragrance to produce rosy notes, in general, there are 4 stereoisomeric structures of the Rose Oxide, which the cis-configured Rose Oxide has a very unique and strong note in perfumery. In this review, several approaches were reported on account of the Rose Oxide applied in perfumery from 1864 to 2019 via quantitative and qualitative approaches.
Mohd Ali SAMSUDIN, Seyedh Mahboobeh JAMALI, Ahmad Nurulazam MD ZAIN, and Nader ALE EBRAHIM
Journal of Turkish Science Education
Saba Ale Ebrahim, Amirhossein Ashtari, Maysam Zamani Pedram, Nader Ale Ebrahim, and Amir Sanati-Nezhad
Informa UK Limited
Background Exosomes are small vesicles produced by almost all cells in the body and found in all biofluids. Cancer cell-derived exosomes are known to have distinct, measurable signatures, applicable for early cancer diagnosis. Despite the present bibliometric studies on “Cancer detection” and “Nanoparticles”, no single study exists to deal with “Exosome” bibliometric study. Methods This bibliometric work investigated the publication trends of “Exosomes” nanoparticles and its application in cancer detection, for the literature from 2008 to July 2019. The data were collected from the Web of Science Core Collection. There were variant visual maps generated to show annual publication, most- relevant authors, sources, countries, topics and keywords. The network analysis of these studies was investigated to evaluate the research trends in the field of exosomes. In addition, the data were qualitatively analyzed according to 22 top-cited articles, illustrating the frequently used subjects and methods in exosomes research area. Results The results showed that the documents in this field have improved the citation rate. The top-relevant papers are mostly published in Scientific Reports journal which has lost its popularity after 2017, while today, Analytical Chemistry is leading in publishing the most articles related to exosomes. The documents containing keywords of plasma, cells, cancer, biomarkers, and vesicles as keywords plus, are more likely to be published in PLoS One journal. The clustering of the keywords network showed that the keyword theme of “extracellular vesicles” has the highest centrality rate. In global research, USA is the most corresponding country, followed by China, Korea and Australia. Based on the qualitative analysis, the published documents with at least 50 citations have used exosome release, cargo, detection, purification and secretion, as their targets and applied cell culture or isolation as their methods. Conclusion The bibliometric study on exosomes nanoparticles for cancer detection provides a clear vision of the future research direction and identifies the potential opportunities and challenges. This may lead new researchers to select the proper subfields in exosome-related research fields.
Saba Ale Ebrahim, Javad Poshtan, Seyedh Mahboobeh Jamali, and Nader Ale Ebrahim
Institute of Electrical and Electronics Engineers (IEEE)
Time-series classification is utilized in a variety of applications leading to the development of many data mining techniques for time-series analysis. Among the broad range of time-series classification algorithms, recent studies are considering the impact of deep learning methods on time-series classification tasks. The quantity of related publications requires a bibliometric study to explore most prominent keywords, countries, sources and research clusters. The paper conducts a bibliometric analysis on related publications in time-series classification, adopted from Scopus database between 2010 and 2019. Through keywords co-occurrence analysis, a visual network structure of top keywords in time-series classification research has been produced and deep learning has been introduced as the most common topic by additional inquiry of the bibliography. The paper continues by exploring the publication trends of recent deep learning approaches for time-series classification. The annual number of publications, the productive and collaborative countries, the growth rate of sources, the most occurred keywords and the research collaborations are revealed from the bibliometric analysis within the study period. The research field has been broken down into three main categories as different frameworks of deep neural networks, different applications in remote sensing and also in signal processing for time-series classification tasks. The qualitative analysis highlights the categories of top citation rate papers by describing them in details.
Fadhil Mukhlif, Kholoud Maswadi, Kamarul Ariffin bin Noordin, and Nader ale Ebrahim
IEEE
The emerging field of green communication has quickly evolved with a geometric growth with respect to the amount of academic publications in this area. This paper aims to conduct an analysis of the green transmission literature in the field of communication during the past ten years through the use of rigorous bibliometric analysis tools. Furthermore, it highlights the future implications and directions for researchers, decision makers, and managers. The bibliometric analysis techniques were adopted for this study. This paper conducted a review of the articles that were published on green communications from the years 2007 to 2017. It determined the authors with the top contributions, as well as the sources and the leading countries that are linked to the field. Furthermore, it identified the main research topics in relation to this field. Academics and researchers were encouraged to explore this topic further. Despite the fact that the focus of this study is only on efficient communication vision in terms of green cooperation, other different aspects of this research area may also be explored by other researchers. Given the best of our knowledge, this study is the first to conduct a review on the available literature for green communication through the use of bibliometric analysis techniques. The study is distinct from others as it spans a prolong time frame of 10 years (2007–2017).
Abbas Ghanbari Baghestan, Hadi Khaniki, Abdolhosein Kalantari, Mehrnoosh Akhtari-Zavare, Elaheh Farahmand, Ezhar Tamam, Nader Ale Ebrahim, Havva Sabani, and Mahmoud Danaee
SAGE Publications
This study diachronically investigates the trend of the “open access” in the Web of Science (WoS) category of “communication.” To evaluate the trend, data were collected from 184 categories of WoS from 1980 to 2017. A total of 87,997,893 documents were obtained, of which 95,304 (0.10%) were in the category of “communication.” In average, 4.24% of the documents in all 184 categories were open access. While in communication, it was 3.29%, which ranked communication 116 out of 184. An Open Access Index (OAI) was developed to predict the trend of open access in communication. Based on the OAI, communication needs 77 years to fully reach open access, which undeniably can be considered as “crisis in scientific publishing” in this field. Given this stunning information, it is the time for a global call for “open access” by communication scholars across the world. Future research should investigate whether the current business models of publications in communication scholarships are encouraging open access or pose unnecessary restrictions on knowledge development.
Karwan Wasman Qadir, Qayyum Zafar, Nader Ale Ebrahim, Zubair Ahmad, Khaulah Sulaiman, Rizwan Akram, and Mohammad Khaja Nazeeruddin
IOP Publishing
This study presents a systematic review of the literature pertaining to dye-sensitized solar cells (DSSCs), in order to anticipate the direction and speed of change in technology trend. To study the general progression in DSSC research, we have assessed the evolution in annual DSSCs publications and their citations. Further, in order to identify the intellectual bases, we have also classified the journals, authors, institutes, and countries according to their scientific productivity in the field of DSSCs research during the period of 2007–2017.