Manash Esh, holding a B.Tech in Computer Science & Engineering and MLIS qualifications, currently assumes the role of Senior Information Scientist at the University of North Bengal, India. His professional pursuits are deeply entrenched in library networking, where he excels in design and continuous updates. His expertise extends to developing, optimising, and effectively utilising pivotal platforms such as E-Shodhsindhu and Shodhganga. Esh's scholarly engagements are multifaceted, evidenced by his expertise as a resource person in UGC-affiliated refresher courses and orientation programs, further enhancing his contributions to the academic community With a robust publication portfolio in reputable scholarly journals, He has showcased his scholarly acumen as a highly accomplished author.
EDUCATION
B.Tech (CSE), MLIS
RESEARCH, TEACHING, or OTHER INTERESTS
Multidisciplinary, Multidisciplinary
16
Scopus Publications
76
Scholar Citations
6
Scholar h-index
1
Scholar i10-index
Scopus Publications
Revisiting Ranganathan’s Laws Data-Driven Insights on Libraries and Technology Manash Esh, Saptarshi Ghosh Reference and User Services Quarterly, 2026 This study analyzes how modern libraries are keeping up with Ranganathan’s Five Laws of Library Science, especially when it comes to user engagement, technology, and adapting to evolving needs. By analyzing data with Python, this study dives into key factors like how often people visit libraries, why they go, how helpful the staff are, the ease of using RFID and self-service tools, and overall satisfaction with digital resources. The results highlight the importance of libraries embracing new technology, expanding their offerings, and putting users first. Ultimately, this study provides practical insights to help libraries improve accessibility, engagement, and satisfaction—ensuring they stay relevant and continue to grow in the digital era
Tracing the trajectory of literacy warrants: A trends study on the emergence of digital literacy and digital competency Manash Esh, Saptarshi Ghosh Journal of Librarianship and Information Science, 2025 This research analyses the field of digital literacy and digital competency, focusing on the growing research conducted in this domain. The dataset reveals that information technology, education and digital literacy have consistently gained attention recently. This study involves accessing the Scopus Elsevier database and retrieving data from 984 documents. We used Bibliometrix software for comprehensive bibliometric analysis and Python packages for plot generation. Moreover, this research aims to analyse trends, patterns and insights in digital literacy and competency based on bibliometric data, covering journal clustering, author productivity, Keyword Plus term frequencies, citation trends and keyword shifting. It also highlights emerging areas such as digital transformation, digital skills and the impact of COVID-19, indicating their increasing significance in the research community. The findings underscore the growing interest in the intersection of education and technology, particularly concerning digital literacy and e-learning. This dataset is valuable for identifying trends, tracking research progress and identifying digital literacy and competency.
Artificial Intelligence in Libraries, A Multifaceted Analysis of Integration, Impact, and Collaboration Dynamic Manash Esh Desidoc Journal of Library and Information Technology, 2025 This study investigates the centrality and density of the ‘Artificial Intelligence’ cluster within interdisciplinary research networks, contrasting it with thematic clusters like ‘prediction’ and ‘library.’ The research aims to assess AI’s impact on education and services compared to other thematic clusters. To achieve this, we employed Python analysis tools on a dataset of 587 articles from the Web of Science Core Collection, examining centrality measures and collaboration dynamics. The methodology includes systematic data collection, centrality analysis, and advanced visualisation techniques. The findings indicate AI’s high centrality and moderate density, underscoring its pivotal role in driving interdisciplinary research. Comparative analysis reveals AI’s broader application potential and influence compared to other clusters. Additionally, insights into country collaborations and centrality measures within clusters illuminate network dynamics and key nodes. Visualisations, such as scatter and box plots, offer comprehensive insights into centrality distribution and relationships within the collaboration network. These results contribute significantly to understanding AI’s role in interdisciplinary research, informing strategic planning and resource allocation for future advancements. The broader implications of findings suggest potential practical applications and directions for future research in leveraging AI’s influence across various domains.
Deep learning for cybersecurity in libraries: Predictive analytics, collaboration patterns, and global research trends Manash Esh Journal of Electronic Resources Librarianship, 2025 This study explores how deep learning (DL) can address cybersecurity challenges in libraries, using predictive analytics to forecast citation trends, assess funding impact, and analyze collaboration patterns. Applying LSTM networks and dense neural networks to Web of Science data, the research identifies key trends in digital security. Findings show LSTMs effectively predict citations, while funding amplifies research impact. Strategic keywords like “policy compliance” and collaboration networks boost visibility, with China leading in output. Despite hurdles like computational costs, DL helps libraries anticipate threats and optimize strategies. The study offers actionable insights for researchers to enhance cybersecurity in the digital age.
Navigating OpenDOAR Distribution: A Deep Dive into Predictive Modeling and Trend Forecasting Manash Esh, Saptarshi Ghosh International Information and Library Review, 2025 Effective navigation and strategic foresight are imperative in the dynamic realm of academic repositories. This study aims to comprehensively understand global scholarly communication dynamics by analyzing repository distribution and forecasting future trends using predictive modeling methodologies. Employing a mixed-methods approach, this research blends quantitative analysis and predictive modeling techniques. It encompasses phases such as distribution analysis of repositories across continents, examination of repository counts across countries using GeoPandas and Matplotlib, optimization of Long short-term memory (LSTM) networks, application of Random Forest Regressor models, and time series analysis using Autoregressive Integrated Moving Average (ARIMA) models. The study reveals profound disparities in repository counts across continents, reflecting variations in research infrastructure. Visualizations vividly depict geographical patterns and disparities in repository distribution. Predictive modeling techniques offer insights into future trends in repository development, empowering decision-makers with strategic insights. While this study provides valuable insights, limitations exist, such as the scope limited to OpenDOAR repositories and the need for further refinement in predictive modeling techniques; future research should explore additional factors influencing repository development.
Analysing Thematic Structures and Citation Dynamics in Artificial Intelligence (AI) and Library Research: A Bibliometric and Machine Learning Approach Manash Esh, Saptarshi Ghosh Serials Librarian, 2025 Themes and citation trends mix in artificial intelligence (AI) and library studies. We used thematic clustering, TF-IDF checks, and classic bibliometric ideas on data from the Web of Science Core Collection, which unveiled five nutty research clusters that sprawl from next-gen artificial intelligence (AI) bits like machine learning and neural networks to plain library hacks like chatbots and digital literacy drives. A weak bond – only 0.1049 – popped up between TF-IDF term buzz and how often works get cited, hinting that research quality and author clout might wield bigger power. Old-school rules of bibliometrics – Lotka, Bradford, and Zipf – reared their heads, showing that a few authors, journals, and keywords call most shots. Our results spell a wild, tangled world of artificial intelligence (AI) work inside libraries, dropping hints about shifting topics, citation vibes, and even indexing lingo’s evolution. These nuggets might spark future work to better spot and spread knowledge in artificial intelligence (AI)-driven library hubs.
Sentiment Analysis in ChatGpt Interactions: Unraveling Emotional Dynamics, Model Evaluation, and User Engagement Insights Manash Esh Technical Services Quarterly, 2024 The rapid evolution of AI, especially in natural language processing, has given rise to conversational AI models like ChatGPT, revolutionizing user engagement through text interactions. This study focuses on sentiment analysis within ChatGPT interactions, uncovering emotional dynamics and evaluating sentiment analysis models. Sentiment analysis holds significance in diverse domains, aiding in user sentiment interpretation. The research employs systematic methods, including data collection, analysis in the PyCharm IDE, and hypothesis testing. Findings reveal a mixed sentiment dataset, with user prompts tending to be more positive than ChatGPT responses. Sentiment during conversations exhibits dynamic shifts, and a Naive Bayes classifier-based model shows robust performance. This research enhances our understanding of sentiment analysis in ChatGPT, offering insights for refining conversational AI and user experiences in an AI-driven world.
Predicting Future Citations from A.I. Publication Trends: A Comparative Analysis of Forecasting Models Manash Esh Serials Librarian, 2024 Forecasting future citations based on trends in A.I. publications in libraries is essential for understanding the long-term impact of academic research. This study evaluates how well historical citation data from 2003 to 2023 can predict future citation patterns and compares the effectiveness of various forecasting models. The analysis includes traditional time series models like ARIMA and Exponential Smoothing, as well as machine learning techniques such as Linear Regression, Decision Tree Regression, Random Forest Regression, and Gradient Boosting Regression. ARIMA and Exponential Smoothing are chosen for their robustness in handling historical trends, while machine learning models are applied to capture complex, nonlinear relationships. The study assesses model performance using metrics such as Mean Squared Error (MSE) and R-squared values, identifying the most accurate models for forecasting. The findings reveal that Exponential Smoothing provides reliable forecasts of future citations, while Random Forest Regression demonstrates superior performance among machine learning techniques. Additionally, linear regression models predict citation and publication trends effectively, though they may benefit from more sophisticated approaches for greater accuracy. This research offers valuable insights for researchers, institutions, and policymakers, helping them anticipate the future impact of academic publications and guiding strategic decisions in research and funding.
A Twenty-Year Trend Analysis of Literary Warrants on Digital Literacy and Digital Competency Through SCOPUS Database Manash Esh, Saptarshi Ghosh Science and Technology Libraries, 2024 This study employs bibliometric analysis to investigate researchers’ contributions to digital literacy and digital competency between 2002 and 2022. Using the Scopus Elsevier database, the research analyses various aspects of publications, such as Coupling clusters, Normalised Impact Scores, Normalised Local Citation Scores, Thematic Evolution, and Factorial Analysis. The findings suggest that digital literacy and technology use in education are critical topics for education and health. In addition, digital literacies, e-learning, and students were identified as crucial topics, with digital literacies being the most common and significant label. The article provides valuable insights into the relationships between different concepts related to education and technology. It highlights the importance of digital literacy and technology in teaching and their connection to health literacy and students.
AI in Libraries: Subject Mapping and Interpreting Bibliometric Laws with Contemporary Metrics Manash Esh, Saptarshi Ghosh Serials Librarian, 2024 Incorporating artificial intelligence (AI) into library science has significantly transformed information management and retrieval. This study explores AI in libraries, focusing on subject mapping and bibliometric laws, using data from 2014 to 2023. This paper provides insights into the evolution of scholarly communication, knowledge dissemination, and information retrieval.” The study reveals patterns in library and information science distribution, productivity, and impact by examining bibliometric laws such as Bradford’s, Lotka’s, and Zipf’s. This study utilised systematic searches, robust databases, and bibliometric tools to ensure methodological rigour. Seventy-six documents meeting predefined criteria were selected, with Scopus Elsevier as the primary data source. Analysis was performed using Bibliometrix software in RStudio, supplemented by Python code for visualisation and statistical analysis. Bradford’s law highlighted the concentration of AI literature in specific journals, while Lotka’s Law confirmed the unequal productivity among authors. The study concludes with recommendations for future research, offering a comprehensive understanding of AI’s implications in library science.
Analyzing Digital Literacy (DL) of the LIS students, University of North Bengal, India Library Philosophy and Practice, 2021
A Scientometric Introspect of Literary Warrants Published in Annals of Library and Information Studies (ALIS) during the Last Decade Library Philosophy and Practice, 2021
Revisiting Ranganathan’s Laws: Data-Driven Insights on Libraries and Technology M Esh, S Ghosh RUSQ: A Journal of Reference and User Experience 61 (3), 28 , 2026 2026
Tracing the trajectory of literacy warrants: A trends study on the emergence of digital literacy and digital competency M Esh, S Ghosh Journal of Librarianship and Information Science 57 (3), 746-761 , 2025 2025 Citations: 3
Deep learning for cybersecurity in libraries: Predictive analytics, collaboration patterns, and global research trends M Esh Journal of Electronic Resources Librarianship, 1-14 , 2025 2025
Analysing Thematic Structures and Citation Dynamics in Artificial Intelligence (AI) and Library Research: A Bibliometric and Machine Learning Approach M Esh, S Ghosh The Serials Librarian 86 (3-4), 161-177 , 2025 2025
Artificial Intelligence in Libraries: A Multifaceted Analysis of Integration, Impact and Collaboration Dynamic M Esh DESIDOC Journal of Library & Information Technology 45 (1), 51-56 , 2025 2025
Navigating OpenDOAR Distribution: A Deep Dive into Predictive Modeling and Trend Forecasting M Esh, S Ghosh International Information & Library Review 57 (1), 35-50 , 2025 2025
Mapping the Global Terrain of OpenDOAR Utilization: Insights from Data Visualization Approach M Esh, S Ghosh INFLIBNET Centre Gandhinagar , 2024 2024
AI in libraries: subject mapping and interpreting bibliometric laws with contemporary metrics M Esh, S Ghosh The Serials Librarian 85 (5-6), 99-116 , 2024 2024 Citations: 4
Predicting future citations from AI publication trends: A comparative analysis of forecasting models M Esh The Serials Librarian 85 (5-6), 155-168 , 2024 2024 Citations: 4
Sentiment analysis in ChatGpt interactions: unraveling emotional dynamics, model evaluation, and user engagement insights M Esh Technical Services Quarterly 41 (2), 160-174 , 2024 2024 Citations: 8
Digital Literacy as Social Capital for Identification and Evaluation of Digital Competencies of the Under-graduate students of the University of North Bengal M Esh University of North Bengal , 2024 2024
Time series analysis-based models for predicting utilization of electronic resources E Manash, G Saptarshi Journal of Electronic Resources Librarianship 35 (3), 182-194 , 2023 2023 Citations: 3
A Twenty-Year Trend Analysis of Literary Warrants on Digital Literacy and Digital Competency Through SCOPUS Database M Esh, S Ghosh Science & Technology Libraries , 2023 2023 Citations: 8
EXPLORING DATA MINING TRENDS AND RESEARCH FOCUS IN INDIA (2018-2022): A COMPREHENSIVE BIBLIOMETRIC ANALYSIS M Esh 2023
Are They Really Aware? A Digital Venture for Addressing" Digital Literacy" among the PG Students at the University of North Bengal M Esh, S Ghosh INFLIBNET Centre, Gandhinagar , 2022 2022
Shodhganga and Shodhshuddhi" 2S"–Indian research Paragon: A Study M Esh, S Ghosh Library Philosophy and Practice, 1-16 , 2022 2022 Citations: 1
Tracing the global trend on the study of digital literacy: a scientometric analysis M Esh, S Ghosh International Journal of Digital Literacy and Digital Competence (IJDLDC) 12 … , 2021 2021 Citations: 5
TRENDS IN ACADEMIC MOBILITY IN THE UNIVERSITY OF NORTH BENGAL (2011-2020): A SCIENTOMETRIC STUDY. M Esh, S Ghosh Library Philosophy & Practice , 2021 2021
A Scientometric Introspect of Literary Warrants Published in Annals of Library and Information Studies (ALIS) during the Last Decade M Esh, SLIS Ghosh 2021 Citations: 4
A Scientometric Introspect of Literary Warrants Published in Annals of Library and Information Studies (ALIS) during the Last Decade M Esh, S Ghosh Library Philosophy and Practice (e-journal) , 2021 2021
MOST CITED SCHOLAR PUBLICATIONS
Development of Shodhganga Repository for e-theses in West Bengal: a Study M Esh 2015 Citations: 14
Role in Contribution to Open Access Repository by the Northeast Universities in India M Esh, S Ghosh DESIDOC Journal of Library & Information Technology 41 (6), 448-454 , 2021 2021 Citations: 9
Sentiment analysis in ChatGpt interactions: unraveling emotional dynamics, model evaluation, and user engagement insights M Esh Technical Services Quarterly 41 (2), 160-174 , 2024 2024 Citations: 8
A Twenty-Year Trend Analysis of Literary Warrants on Digital Literacy and Digital Competency Through SCOPUS Database M Esh, S Ghosh Science & Technology Libraries , 2023 2023 Citations: 8
Analyzing Digital Literacy (DL) of the LIS students, University of North Bengal, India M Esh, S Ghosh Library Philosophy and Practice , 2021 2021 Citations: 6
Usage of e Journals in University of North Bengal under INFLIBNET (2012 2018) analysis with INFISTATS M Esh DESIDOC Journal of Library & Information Technology 39 (4), 199-204 , 2019 2019 Citations: 6
Tracing the global trend on the study of digital literacy: a scientometric analysis M Esh, S Ghosh International Journal of Digital Literacy and Digital Competence (IJDLDC) 12 … , 2021 2021 Citations: 5
AI in libraries: subject mapping and interpreting bibliometric laws with contemporary metrics M Esh, S Ghosh The Serials Librarian 85 (5-6), 99-116 , 2024 2024 Citations: 4
Predicting future citations from AI publication trends: A comparative analysis of forecasting models M Esh The Serials Librarian 85 (5-6), 155-168 , 2024 2024 Citations: 4
A Scientometric Introspect of Literary Warrants Published in Annals of Library and Information Studies (ALIS) during the Last Decade M Esh, SLIS Ghosh 2021 Citations: 4
Tracing the trajectory of literacy warrants: A trends study on the emergence of digital literacy and digital competency M Esh, S Ghosh Journal of Librarianship and Information Science 57 (3), 746-761 , 2025 2025 Citations: 3
Time series analysis-based models for predicting utilization of electronic resources E Manash, G Saptarshi Journal of Electronic Resources Librarianship 35 (3), 182-194 , 2023 2023 Citations: 3
Shodhganga and Shodhshuddhi" 2S"–Indian research Paragon: A Study M Esh, S Ghosh Library Philosophy and Practice, 1-16 , 2022 2022 Citations: 1
Require of Cooperative Learning Network Through Virtual Course and General Edification Platform for Open Education in India T Sarkar, M Esh The Online Journal of Distance Education and e-Learning 4 (1), 50 , 2016 2016 Citations: 1
Revisiting Ranganathan’s Laws: Data-Driven Insights on Libraries and Technology M Esh, S Ghosh RUSQ: A Journal of Reference and User Experience 61 (3), 28 , 2026 2026
Deep learning for cybersecurity in libraries: Predictive analytics, collaboration patterns, and global research trends M Esh Journal of Electronic Resources Librarianship, 1-14 , 2025 2025
Analysing Thematic Structures and Citation Dynamics in Artificial Intelligence (AI) and Library Research: A Bibliometric and Machine Learning Approach M Esh, S Ghosh The Serials Librarian 86 (3-4), 161-177 , 2025 2025
Artificial Intelligence in Libraries: A Multifaceted Analysis of Integration, Impact and Collaboration Dynamic M Esh DESIDOC Journal of Library & Information Technology 45 (1), 51-56 , 2025 2025
Navigating OpenDOAR Distribution: A Deep Dive into Predictive Modeling and Trend Forecasting M Esh, S Ghosh International Information & Library Review 57 (1), 35-50 , 2025 2025
Mapping the Global Terrain of OpenDOAR Utilization: Insights from Data Visualization Approach M Esh, S Ghosh INFLIBNET Centre Gandhinagar , 2024 2024
