2025
Singh, Bhupinder; Singh, Rupinder
Research productivity and impact of Indian authors in arts: A bibliometric perspective Journal Article
In: Journal of Management Research and Analysis, vol. 12, iss. 2, pp. 77-84, 2025, ISSN: 2394-2770.
Abstract | Links | BibTeX | Tags: Authorship pattern, Bibliometric, Big Data Research
@article{Singh2025,
title = {Research productivity and impact of Indian authors in arts: A bibliometric perspective},
author = {Bhupinder Singh and Rupinder Singh},
url = {https://jmra.in/archive/volume/12/issue/2/article/16075},
doi = {https://doi.org/10.18231/j.jmra.2025.014},
issn = {2394-2770},
year = {2025},
date = {2025-07-23},
urldate = {2025-07-23},
journal = {Journal of Management Research and Analysis},
volume = {12},
issue = {2},
pages = {77-84},
abstract = {This study examines the research output of Indian authors in the ‘Arts’ subject from 2015 to 2024 using bibliometric data from Scopus. It analyzes publication trends, citation impact, prolific authors, institutional contributions, and global collaborations. The Findings of the paper indicates a steady increase in research productivity in this field, with a significant proportion of publications appearing in high-impact journals. Paper finds that International collaborations yield the highest citation impact, emphasizing the importance of cross-border research partnerships. The integration of emerging technologies in Arts research highlights evolving interdisciplinary trends. Despite this progress, Indian researchers face some challenges such as underrepresentation in global rankings. In Future, research can be focused on discipline-specific citation trends and the role of digital transformation in Arts scholarship. The global visibility and impact of Indian Arts research can be strengthened with institutional support and by expanding their collaborative networks.
},
keywords = {Authorship pattern, Bibliometric, Big Data Research},
pubstate = {published},
tppubtype = {article}
}
This study examines the research output of Indian authors in the ‘Arts’ subject from 2015 to 2024 using bibliometric data from Scopus. It analyzes publication trends, citation impact, prolific authors, institutional contributions, and global collaborations. The Findings of the paper indicates a steady increase in research productivity in this field, with a significant proportion of publications appearing in high-impact journals. Paper finds that International collaborations yield the highest citation impact, emphasizing the importance of cross-border research partnerships. The integration of emerging technologies in Arts research highlights evolving interdisciplinary trends. Despite this progress, Indian researchers face some challenges such as underrepresentation in global rankings. In Future, research can be focused on discipline-specific citation trends and the role of digital transformation in Arts scholarship. The global visibility and impact of Indian Arts research can be strengthened with institutional support and by expanding their collaborative networks.
2024
Singh, Rupinder; Singh, Bhupinder
Mapping Indian research productivity in Economics during 2019 to 2023: A Bibliometric Analysis Journal Article
In: Journal of Library and Information Science Technology (JL, vol. 6, iss. 1, pp. 16-26, 2024, ISSN: 2295-5001.
Abstract | Links | BibTeX | Tags: Bibliometric, Big Data Research
@article{Singh2024,
title = {Mapping Indian research productivity in Economics during 2019 to 2023: A Bibliometric Analysis},
author = {Rupinder Singh and Bhupinder Singh},
url = {https://iaeme.com/Home/issue/JLIST?Volume=6&Issue=1},
doi = {https://iaeme.com/Home/issue/JLIST?Volume=6&Issue=1},
issn = {2295-5001},
year = {2024},
date = {2024-06-30},
urldate = {2024-06-30},
journal = {Journal of Library and Information Science Technology (JL},
volume = {6},
issue = {1},
pages = {16-26},
abstract = {This study explores India’s research performance in the fields of economics, econometrics, and finance from 2019 to 2023. It analyses various factors such as the number of publications, international collaborations, institutional output, leading authors, and journal rankings. The study also compares the growth rates of publications from top institutions and examines the quality of research based on journal quartiles and citations. It highlights key contributors and trends in Indian research and suggest show these findings can help improve the country’s visibility and impact in global academic circles
},
keywords = {Bibliometric, Big Data Research},
pubstate = {published},
tppubtype = {article}
}
This study explores India’s research performance in the fields of economics, econometrics, and finance from 2019 to 2023. It analyses various factors such as the number of publications, international collaborations, institutional output, leading authors, and journal rankings. The study also compares the growth rates of publications from top institutions and examines the quality of research based on journal quartiles and citations. It highlights key contributors and trends in Indian research and suggest show these findings can help improve the country’s visibility and impact in global academic circles
2021
Srivastava, Prachi; Singh, Rupinder; Sonker, S. K.
Mapping of Research Output in the field of Big Data Analytics : Scientometric Study Journal Article
In: Library Philosophy and Practice, 2021.
Abstract | Links | BibTeX | Tags: Big data, Big data Analytics, Big Data in India, Big Data Research, Research trends, Scientometric, Scientometric Study
@article{Srivastava2021b,
title = {Mapping of Research Output in the field of Big Data Analytics : Scientometric Study},
author = {Prachi Srivastava and Rupinder Singh and S. K. Sonker},
url = {https://digitalcommons.unl.edu/libphilprac/6378/},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {Library Philosophy and Practice},
abstract = {This study aims to determine the scientometric analysis of recent research output in the emerging field of Big Data Analytics from 2011 to 2020. The study of Big Data Analytics began in the last few years and has gained tremendous traction in a short period of time. It is now widely regarded as one of the most important developing study areas in computer sciences and related disciplines. The data has been obtained from the Scopus Database and excel and VOSviewer software used for the analysis; a total of 2304 research papers were evaluated. The study examines total output, growth in output, authorship and collaboration patterns at the country level, major contributors (countries, institutions, and individuals), top publication sources, analytical trends, and highly cited papers. The study explored continuous growth in the literature of Big data analytics.},
keywords = {Big data, Big data Analytics, Big Data in India, Big Data Research, Research trends, Scientometric, Scientometric Study},
pubstate = {published},
tppubtype = {article}
}
This study aims to determine the scientometric analysis of recent research output in the emerging field of Big Data Analytics from 2011 to 2020. The study of Big Data Analytics began in the last few years and has gained tremendous traction in a short period of time. It is now widely regarded as one of the most important developing study areas in computer sciences and related disciplines. The data has been obtained from the Scopus Database and excel and VOSviewer software used for the analysis; a total of 2304 research papers were evaluated. The study examines total output, growth in output, authorship and collaboration patterns at the country level, major contributors (countries, institutions, and individuals), top publication sources, analytical trends, and highly cited papers. The study explored continuous growth in the literature of Big data analytics.