BIOMASS RESEARCH IN INDIA: MEASURING SCIENTIFIC GROWTH AND GLOBAL LINKAGES THROUGH SCIENTOMETRICS
DOI:
https://doi.org/10.29121/shodhkosh.v5.i1.2024.5759Keywords:
Biomass Research, Scientometric Analysis, India, Research Trends, Institutional Contributions, Research Output, Funding Agencies, Co-Authorship Networks, Emerging Research ThemesAbstract [English]
This study presents a Scientometric analysis of biomass research in India period from 2013 to 2022. By utilizing bibliographic data from the Scopus database, the research investigates the growth, key contributors, institutional impact, funding sources, and emerging trends. The analysis reveals a significant increase in research output, with a notable rise in publications, underscoring the growing importance of biomass as a sustainable energy source in India. Key research themes identified through Multiple Correspondence Analysis (MCA) include biofuels, microalgae, and carbon management, which are central to the field. Author impact analysis highlights a group of influential researchers whose work has substantially shaped the biomass research landscape. Institutional contributions are led by Banaras Hindu University and the Indian Institutes of Technology, which are at the forefront of this research area. The co-authorship network analysis reveals strong collaboration between Indian institutions and international partners, contributing to the global advancement of biomass research.
References
Chandra, T., Sahu, J., Jaiswal, S., Iquebal, M. A., & Kumar, D. (2024). Current research status and emerging trends in wheat: An integrated scientometric analysis based on ploidy uncovers hidden footprints in the scientific landscape. Heliyon, 10(16), e36375. https://doi.org/10.1016/j.heliyon.2024.e36375 DOI: https://doi.org/10.1016/j.heliyon.2024.e36375
Jahanshahi, A., Lopes, M., Brandão, M., & De Castro, E. A. (2023). Development of bioenergy technologies: A scientometric analysis. Heliyon, 9(9), e20000. https://doi.org/10.1016/j.heliyon.2023.e20000 DOI: https://doi.org/10.1016/j.heliyon.2023.e20000
Krishnamoorthy, N., Pathy, A., Kapoor, A., & Paramasivan, B. (2023). Exploring the evolution, trends and scope of microalgal biochar through scientometrics. Algal Research, 69, 102944. https://doi.org/10.1016/j.algal.2022.102944 DOI: https://doi.org/10.1016/j.algal.2022.102944
Vaishya, R., Gupta, B. M., Kappi, M., & Vaish, A. (2022). A scientometric analysis of India’s publications in arthroplasty in the last two decades from the SCOPUS database. Journal of Clinical Orthopaedics and Trauma, 34, 102041. https://doi.org/10.1016/j.jcot.2022.102041 DOI: https://doi.org/10.1016/j.jcot.2022.102041
Xu, W., Li, C., Liu, Q., Liu, W., & Wang, X. (2024). A scientometric study of oral cancer research in South and Southeast Asia with emphasis on risk factors control. Journal of Dental Sciences, S1991790224000795. https://doi.org/10.1016/j.jds.2024.03.014 DOI: https://doi.org/10.1016/j.jds.2024.03.014
Asghar, R., Khan, M. A., Alyousef, R., Javed, M. F., & Ali, M. (2023). Promoting the green Construction: Scientometric review on the mechanical and structural performance of geopolymer concrete. Construction and Building Materials, 368, 130502. https://doi.org/10.1016/j.conbuildmat.2023.130502 DOI: https://doi.org/10.1016/j.conbuildmat.2023.130502
Iftikhar, B., Alih, S. C., Vafaei, M., Alrowais, R., Bashir, M. T., Khalil, A., Rizwan, M., Javed, M. F., Rehman, M. F., & Mohamed, A. (2023). A scientometric analysis approach on the plastic sand. Heliyon, 9(3), e14457. https://doi.org/10.1016/j.heliyon.2023.e14457 DOI: https://doi.org/10.1016/j.heliyon.2023.e14457
Abdelmoneim, Zakia, and Mohamed Samy El-Deeb. ‘BOD Characteristics and Their Impact on the Link between ESG Disclosure and Integrated Reporting Disclosure Quality: A Study of Egyptian Non-Financial Firms’. Future Business Journal, vol. 10, no. 1, Feb. 2024, p. 18. DOI.org (Crossref), https://doi.org/10.1186/s43093-023-00297-y. DOI: https://doi.org/10.1186/s43093-023-00297-y
Adeniyi, Odunayo David, et al. ‘A Systematic Review on Digital Soil Mapping Approaches in Lowland Areas’. Land, vol. 13, no. 3, Mar. 2024, p. 379. DOI.org (Crossref), https://doi.org/10.3390/land13030379. DOI: https://doi.org/10.3390/land13030379
Afjal, Mohd. ‘Bridging the Financial Divide: A Bibliometric Analysis on the Role of Digital Financial Services within FinTech in Enhancing Financial Inclusion and Economic Development’. Humanities and Social Sciences Communications, vol. 10, no. 1, Oct. 2023, p. 645. DOI.org (Crossref), https://doi.org/10.1057/s41599-023-02086-y. DOI: https://doi.org/10.1057/s41599-023-02086-y
Anne Lewis, Kathleen, et al. ‘Farm Assurance Schemes: Can They Improve Farming Standards?’ British Food Journal, vol. 110, no. 11, Oct. 2008, pp. 1088–105. DOI.org (Crossref), https://doi.org/10.1108/00070700810918009. DOI: https://doi.org/10.1108/00070700810918009
Giannakos, Michail, et al. ‘Mapping Child–Computer Interaction Research through Co-Word Analysis’. International Journal of Child-Computer Interaction, vol. 23–24, June 2020, p. 100165. DOI.org (Crossref), https://doi.org/10.1016/j.ijcci.2020.100165. DOI: https://doi.org/10.1016/j.ijcci.2020.100165
Kaur, Sharanjit, et al. ‘Research Productivity in Computer Science Field for Universiti Teknologi Malaysia in 2000–2013’. 2014 International Conference on Computer and Information Sciences (ICCOINS), IEEE, 2014, pp. 1–6. DOI.org (Crossref), https://doi.org/10.1109/ICCOINS.2014.6868441. DOI: https://doi.org/10.1109/ICCOINS.2014.6868441
Pinto, Gustavo Oliveira, et al. ‘Trends in Global Greywater Reuse: A Bibliometric Analysis’. Water Science and Technology, vol. 84, no. 10–11, Nov. 2021, pp. 3257–76. DOI.org (Crossref), https://doi.org/10.2166/wst.2021.429. DOI: https://doi.org/10.2166/wst.2021.429
Sarsare, Shyam Madhukarrao. ‘Research and Publication Contribution of Teachers in Commerce and Management a Bibliometric Study’. University, 2013. shodhganga.inflibnet.ac.in:8443, https://shodhganga.inflibnet.ac.in:8443/jspui/handle/10603/217768.
Tan, Hao, et al. ‘User Experience & Usability of Driving: A Bibliometric Analysis of 2000-2019’. International Journal of Human–Computer Interaction, vol. 37, no. 4, Feb. 2021, pp. 297–307. DOI.org (Crossref), https://doi.org/10.1080/10447318.2020.1860516. DOI: https://doi.org/10.1080/10447318.2020.1860516
Wang, Xiaowen, et al. ‘How Artificial Intelligence Affects the Labour Force Employment Structure from the Perspective of Industrial Structure Optimisation’. Heliyon, vol. 10, no. 5, Mar. 2024, p. e26686. DOI.org (Crossref), https://doi.org/10.1016/j.heliyon.2024.e26686 DOI: https://doi.org/10.1016/j.heliyon.2024.e26686
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Naveen Chaparwal, Dr. P S Rajput
This work is licensed under a Creative Commons Attribution 4.0 International License.
With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.
It is not necessary to ask for further permission from the author or journal board.
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
