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1 – 10 of over 3000
Article
Publication date: 14 June 2022

Sunil Tyagi

This study aims to measure the global research landscape of the National Institute of Pharmaceutical Education and Research (NIPER) of India on a set of quantitative and…

Abstract

Purpose

This study aims to measure the global research landscape of the National Institute of Pharmaceutical Education and Research (NIPER) of India on a set of quantitative and qualitative metrics in terms of research output toward exploring research trends and give an overview of collaborative practices by researchers of NIPERs.

Design/methodology/approach

The present study has selected the Scopus database as a tool to retrieve potential publications of studied NIPERs during the last 12 years (2010–2021). NIPER-Mohali, NIPER-Hyderabad, NIPER-Ahmedabad, NIPER-Guwahati and NIPER-Kolkata have been selected for the study. The study has adopted a comprehensive search strategy to extract 3,926 publications data. VOS viewer 1.6.17, BibExcel and Microsoft Excel were used for data analysis and visualization.

Findings

The global scientific research output of NIPERs accrued 3,926 publications with an average of 327 publications per year. The retrieved publications fetched a total of 67,772 citations with an average citation impact of 17.26. There observed a steady growth of publications from 168 to 509 registered with an average growth rate of 18.44%. The mean relative growth rate and doubling time of research output are 0.26 and 2.94. The authorship patterns explore collaborative trends as most of the publications were published by multiple authors (99.39%). NIPERs have expanded their outreach to collaborate with the USA, Malaysia, Saudi Arabia, Australia and the UK to collaborate on research and regulatory reforms exhibits in the USA as a major contributor.

Originality/value

The present study is the first effort to evaluate the global research productivity of NIPERs and assess the current research trends on a set of quantitative and qualitative metrics to provide some insights into the complex dynamics of research productivity. The study’s outcome may help to identify the current research progress of NIPERs at the global level.

Details

Library Hi Tech, vol. 42 no. 1
Type: Research Article
ISSN: 0737-8831

Keywords

Article
Publication date: 8 January 2020

Jyotshna Sahoo, Basudev Mohanty, Oshin Biswal, Nrusingh Kumar Dash and Jayanta Kumar Sahu

The purpose of this paper is to examine the classic characteristics of highly cited articles (HCAs) of top-ranked library and information science (LIS) journals and get acquainted…

Abstract

Purpose

The purpose of this paper is to examine the classic characteristics of highly cited articles (HCAs) of top-ranked library and information science (LIS) journals and get acquainted with the high-quality works in specific areas of LIS for distinguishing what gets cited and who the prolific authors are.

Design/methodology/approach

The HCAs published across the top four LIS journals were downloaded, coded and a database was developed with basic metadata elements for analysis using bibliometric indicators. Lotka’s Inverse Square Law of Scientific Productivity was applied to assess the author’s productivity of HCA. The content analysis method was also used to find out the emerging areas of research that have sought high citations.

Findings

Inferences were drawn for the proposed five number of research questions pertaining to individual productivity, collaboration patterns country and institutional productivity, impactful areas of research. The Netherland found to be the potential player among all the affiliating countries of authors and Loet Leydesdorff tops the list among the prolific authors. It is observed that Lotka’s Classical Law also fits the HCA data set in LIS. “Research impact measurement and research collaboration,” “Social networking” and “Research metrics and citation-based studies” are found to be the emerging areas of LIS research.

Practical implications

Researchers may find a way what gets cited in specific areas of LIS literature and why along with who are the prolific authors.

Originality/value

This study is important from the perspective of the growing research field of the LIS discipline to identify the papers that have influenced others papers as per citation count, spot the active and more impactful topics in LIS research.

Details

Performance Measurement and Metrics, vol. 21 no. 1
Type: Research Article
ISSN: 1467-8047

Keywords

Article
Publication date: 29 November 2019

Shivam Dolhey

The purpose of this study is to provide a bibliometric analysis of the research on entrepreneurial intentions. A total of 1,393 papers published from the year 2000 to 2018 are…

798

Abstract

Purpose

The purpose of this study is to provide a bibliometric analysis of the research on entrepreneurial intentions. A total of 1,393 papers published from the year 2000 to 2018 are analysed. The study attempts to identify the significant journals in this area, years with the maximum publication, most cited papers, important authors and most prolific countries and institutions. Then, the co-authorship network map, inter-country co-authorship network map and keyword co-occurrences network maps are provided.

Design/methodology/approach

The Scopus database was used for analysing the large data about various papers included in this study. Then, the VOSviewer software was used for creating a co-authorship network map, inter-country co-authorship network map and keywords co-occurrences network maps.

Findings

The results of this study indicate that in the year 2017, the maximum papers have been published, the most significant journal is International Journal of Entrepreneurship and Small Business and the most cited paper is about competing models of entrepreneurial intentions. Furthermore, the most prominent author is Francisco Linan, and the most prolific country and institution are the USA and the University of Seville (Spain), respectively.

Originality/value

This study contributes to the existing literature on entrepreneurial intentions. A much comprehensive and reliable picture of this area is provided using the bibliometric techniques. The results can help in guiding the authors interested in conducting future research on this topic.

Details

Journal of Research in Marketing and Entrepreneurship, vol. 21 no. 2
Type: Research Article
ISSN: 1471-5201

Keywords

Article
Publication date: 4 October 2022

Dhruba Jyoti Borgohain, Raj Kumar Bhardwaj and Manoj Kumar Verma

Artificial Intelligence (AI) is an emerging technology and turned into a field of knowledge that has been consistently displacing technologies for a change in human life. It is…

1825

Abstract

Purpose

Artificial Intelligence (AI) is an emerging technology and turned into a field of knowledge that has been consistently displacing technologies for a change in human life. It is applied in all spheres of life as reflected in the review of the literature section here. As applicable in the field of libraries too, this study scientifically mapped the papers on AAIL and analyze its growth, collaboration network, trending topics, or research hot spots to highlight the challenges and opportunities in adopting AI-based advancements in library systems and processes.

Design/methodology/approach

The study was developed with a bibliometric approach, considering a decade, 2012 to 2021 for data extraction from a premier database, Scopus. The steps followed are (1) identification, selection of keywords, and forming the search strategy with the approval of a panel of computer scientists and librarians and (2) design and development of a perfect algorithm to verify these selected keywords in title-abstract-keywords of Scopus (3) Performing data processing in some state-of-the-art bibliometric visualization tools, Biblioshiny R and VOSviewer (4) discussing the findings for practical implications of the study and limitations.

Findings

As evident from several papers, not much research has been conducted on AI applications in libraries in comparison to topics like AI applications in cancer, health, medicine, education, and agriculture. As per the Price law, the growth pattern is exponential. The total number of papers relevant to the subject is 1462 (single and multi-authored) contributed by 5400 authors with 0.271 documents per author and around 4 authors per document. Papers occurred mostly in open-access journals. The productive journal is the Journal of Chemical Information and Modelling (NP = 63) while the highly consistent and impactful is the Journal of Machine Learning Research (z-index=63.58 and CPP = 56.17). In the case of authors, J Chen (z-index=28.86 and CPP = 43.75) is the most consistent and impactful author. At the country level, the USA has recorded the highest number of papers positioned at the center of the co-authorship network but at the institutional level, China takes the 1st position. The trending topics of research are machine learning, large dataset, deep learning, high-level languages, etc. The present information system has a high potential to improve if integrated with AI technologies.

Practical implications

The number of scientific papers has increased over time. The evolution of themes like machine learning implicates AI as a broad field of knowledge that converges with other disciplines. The themes like large datasets imply that AI may be applied to analyze and interpret these data and support decision-making in public sector enterprises. Theme named high-level language emerged as a research hotspot which indicated that extensive research has been going on in this area to improve computer systems for facilitating the processing of data with high momentum. These implications are of high strategic worth for policymakers, library stakeholders, researchers and the government as a whole for decision-making.

Originality/value

The analysis of collaboration, prolific authors/journals using consistency factor and CPP, testing the relationship between consistency (z-index) and impact (h-index), using state-of-the-art network visualization and cluster analysis techniques make this study novel and differentiates it from the traditional bibliometric analysis. To the best of the author's knowledge, this work is the first attempt to comprehend the research streams and provide a holistic view of research on the application of AI in libraries. The insights obtained from this analysis are instrumental for both academics and practitioners.

Details

Library Hi Tech, vol. 42 no. 1
Type: Research Article
ISSN: 0737-8831

Keywords

Article
Publication date: 13 June 2020

Britta Gammelgaard, Satish Kumar, Debidutta Pattnaik and Rohit Joshi

International Journal of Logistics Management (IJLM) celebrated 30 years of its publication in 2019. This study provides a retrospective overview of the IJLM articles between 1990…

Abstract

Purpose

International Journal of Logistics Management (IJLM) celebrated 30 years of its publication in 2019. This study provides a retrospective overview of the IJLM articles between 1990 and 2019.

Design/methodology/approach

The authors applied bibliometrics to study and present a retrospective summary of the publication trends, citations, pattern of authorship, productivity, popularity depicting influence, and the impact of the IJLM, its contributors, their affiliations, and discusses the conceptual layout of IJLM's prolific themes.

Findings

With 23 yearly articles, IJLM contributed 689 specialized research papers on Supply Chain Management (SCM) by 2019. Authorship grew by 42 new contributors adding up to 1,256 unique IJLM authors by 2019. Each of its lead contributors associated with 1.55 other authors to contribute an article in the journal among which 93% are cited at least once. Survey-based research dominated in last 30 years. The h-index of the journal is 73 while its g-index suggests that 133 IJLM articles were cited at least 17,689 times in Scopus. IJLM authors affiliated to the Cranfield University and the US contributed the highest count of articles. Bibliographic coupling analysis groups IJLM articles into eight bibliographic clusters while network analysis exposes the thematic layout of IJLM articles.

Research limitations/implications

The literature selection is confined to the Scopus database starting from 1990, a year before the inception of the IJLM, thereby limiting its scope.

Originality/value

This study is the first retrospective bibliometric analysis of the IJLM, which is useful for aspiring contributors.

Details

The International Journal of Logistics Management, vol. 31 no. 2
Type: Research Article
ISSN: 0957-4093

Keywords

Article
Publication date: 18 January 2023

Namjoo Choi

The purpose of this paper is to revisit and update Palmer and Choi (2014), which conducted a descriptive literature review on open source software (OSS) studies published by the…

Abstract

Purpose

The purpose of this paper is to revisit and update Palmer and Choi (2014), which conducted a descriptive literature review on open source software (OSS) studies published by the end of February 2013 in the library context.

Design/methodology/approach

The same article search and filtering procedures used in Palmer and Choi (2014) were used, resulting in a total sample size of 105 articles. These articles were then examined based on the same six variables (i.e. publication year, publication outlet, software type, article type, library type and article topic) from Palmer and Choi (2014) along with two new variables (i.e., study country and prolific authors).

Findings

The volume of research articles was found to be in a downwards trend since 2010. As suggested by Palmer and Choi (2014), survey research increased and was found to be the second most popular article type. Regarding library types, the proportion of articles in the context of academic and research libraries was found to have expanded even further. As to article topics, perceptions, which investigates users’ (or non-users’) various perceptions towards OSS, was newly added and was ranked fourth. Given the maturity of the research stream, two new variables (i.e., study country and prolific authors) were examined, and the findings from analyzing them are also presented.

Originality/value

By examining library OSS articles published between March 2013 and February 2022, this study uncovers changes and developments in the research since Palmer and Choi (2014), which provides a picture of where the research stands now with several updated and new implications.

Details

The Electronic Library, vol. 41 no. 1
Type: Research Article
ISSN: 0264-0473

Keywords

Article
Publication date: 31 December 2015

Sameer Kumar

– The purpose of this paper is to investigate whether a sparse and relatively small giant component (GC) will capture highly productive authors.

Abstract

Purpose

The purpose of this paper is to investigate whether a sparse and relatively small giant component (GC) will capture highly productive authors.

Design/methodology/approach

The author used a geographically dispersed data set involving authors in the field of economics in ten countries in Southeast Asia and applied social network analysis methods to investigate the structure and dynamics of GCs.

Findings

Results reveal that a GC, characterized by both low density and small size, can still capture a significant percentage (68 per cent of the top 25) of the most productive authors. There seems to be a topological backing for this occurrence. The number of direct connections (or “degree”) in the GC was correlated with research productivity, such that high-degree authors were almost twice as productive as low-degree authors. It is probable that productive authors having higher than average degrees may be the cause of the formation of the GC. The author hypothesize that irrespective of its size or sparseness, GCs in co-authorship networks may still represent the seat of main intellectual activity in the network.

Originality/value

This is one of the first studies to quantitatively analyse the ability of a co-authorship-based less-prominent GC to capture prominent authors.

Details

Aslib Journal of Information Management, vol. 68 no. 1
Type: Research Article
ISSN: 2050-3806

Keywords

Article
Publication date: 7 March 2023

Nazia Wahid, Usama Amin, Muhammad Ajmal Khan, Nadeem Siddique and Nosheen Fatima Warraich

This study aims to map the “Desktop Research” (DR) output in Pakistan, as part of the growing field of research globally. It also ascertains the productive institutions and…

282

Abstract

Purpose

This study aims to map the “Desktop Research” (DR) output in Pakistan, as part of the growing field of research globally. It also ascertains the productive institutions and prolific authors along with their collaboration patterns.

Design/methodology/approach

Bibliometric techniques were used to quantitatively analyze the DR published in Pakistan. The publications from 1981 to 2021 were retrieved from Scopus. A total of 1,802 publications were retrieved and used for analysis.

Findings

Results indicated an unpredictable increase in DR output from approximately 100 to 400 records during the past five years. The year 2020 was most productive in DR research showing the excess use of secondary data by researchers in COVID-19. The focus of researchers towards DR was consistently rising. Medical journals were found to publish DR extensively. Majority of the publications were contributed by collaborative work and researchers of the USA were found as the most collaborative with Pakistani authors. Publications of single category journals, open access journals and international collaboration get more citations.

Research limitations/implications

The results of the analysis rely only on a single database, Scopus, for retrieving the publication data.

Practical implications

The study has practical implications for the policymakers and higher education development organizations to introduce the DR as a course in academic schools.

Originality/value

To the best of the authors’ knowledge, this study is the first to review DR in the context of Pakistan through bibliometric analysis. This comprehensive overview provides a better understanding of the development of the field and possible practice implications.

Details

Global Knowledge, Memory and Communication, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9342

Keywords

Article
Publication date: 18 April 2008

Gian Singh, Moin Ahmad and Mohammad Nazim

The study aims to present a bibliometric analysis of scientific output of the plant Embelia ribes, the aim being to offer an overview of research activity in this field and…

774

Abstract

Purpose

The study aims to present a bibliometric analysis of scientific output of the plant Embelia ribes, the aim being to offer an overview of research activity in this field and characterize its most important aspects.

Design/methodology/approach

A total of 332 articles were collected from following databases: Pub Med, Medicinal and Aromatic Plants Abstract, Indian Science Abstract and Biological Abstract. The searches were restricted to published articles and contain the terms Embelia ribes and Vidanga. The various analyses focus on growth of literature, authorship pattern, most prolific authors, core journals of the subject, most productive institutes and countries. Lotka's law and bradford' law of scattering were applied to count the author productivity and core journals in the subject.

Findings

Most articles involved collaboration between two or three authors Author productivity was not found exactly fit to Lotka's law with a value of n  =  2. However, distribution of articles in different journals was found fit to Bradford's law of scattering with the distribution of 1:n: n2.

Originality/value

The paper offers an overview of research activity into the plant Embelia ribes.

Details

Library Review, vol. 57 no. 4
Type: Research Article
ISSN: 0024-2535

Keywords

Article
Publication date: 2 June 2023

Mohammad Anas, Mohammed Naved Khan and S.M. Fatah Uddin

Modern businesses strategically focus on improving the online purchase experience (OPE) of customers to acquire a long-term competitive edge. However, the intellectual knowledge…

Abstract

Purpose

Modern businesses strategically focus on improving the online purchase experience (OPE) of customers to acquire a long-term competitive edge. However, the intellectual knowledge structure of OPE research remains uncharted, necessitating further investigation. This study aims to provide a concise synthesis of the evolution, trends and advancements of consumers’ OPE research using bibliometrics.

Design/methodology/approach

Firstly, the authors inventorised the relevant OPE literature, and then the bibliometric trends and the domain’s performance (top articles, outlets and authors) were analysed and illustrated through tables and narratives. Secondly, science mapping tools (such as co-occurrence) and visualisation strategy were deployed to pinpoint relevant OPE research themes and highlight the domain’s intellectual structure.

Findings

The most significant findings concern the most prolific authors, outlets, most cited articles and five thematic clusters forming the ground for potential future research paths. Also, these thematic clusters depicted the intellectual knowledge structure that emerged from the OPE research domain.

Research limitations/implications

This review may be helpful for future academic researchers to identify future research paths in the domain and practitioners to help make policy decisions while formulating and articulating their marketing strategy.

Originality/value

Deploying the VOSviewer and Bibliometrix-R software together, this review is most likely the first attempt to the best of the authors’ knowledge to provide a thorough bibliometric synthesis of the OPE research domain.

Details

International Journal of Quality and Service Sciences, vol. 15 no. 2
Type: Research Article
ISSN: 1756-669X

Keywords

1 – 10 of over 3000