Scientometric Analysis of Non-Conventional Energy Research Literature
DOI:
https://doi.org/10.70112/arss-2024.13.2.4282Keywords:
Non-Conventional Energy, Scientometric Analysis, Research Productivity, Citation Impact, International CollaborationsAbstract
Research on non-conventional energy has experienced significant global growth, with countries such as India playing a prominent role. Scientometric analyses of research trends in this field provide insights into productivity, impact, and collaboration patterns, which are essential for guiding future work and informing policy-making. This study aims to evaluate the contributions of Indian and global researchers to non-conventional energy research from 2003 to 2022, focusing on research productivity, citation impact, growth trends, and international collaborations. The analysis examined 13,378 publications from India and 164,586 publications globally in the non-conventional energy sector over the 2003-2022 period. Scientometric indicators, such as the average citation per paper, annual growth rate (AGR), exponential growth rate, activity index, publication efficiency index (PEI), relative growth rate (RGR), and doubling time (Dt), were employed. Bradford’s law of scattering and Zipf’s law were also tested to assess their applicability in this domain. In 2004, India achieved the highest average citation per paper, with 117.58 citations, while globally, the highest average citation per paper was 67.56 in 2005. The highest annual growth rate (AGR) of 114.26% was recorded in 2006, which also marked the peak exponential growth rate of 2.14, with 45 publications. In 2022, the highest activity index was 141.56. The maximum publication efficiency index (PEI) value was 4.38 in 2004, with 31 publications. The study identified Kumar, A., as the most prolific author, contributing 281 papers (12.87%) and highlighted the United States of America as the top international collaborator with 488 records. Bradford’s law of scattering and Zipf’s law did not align with the publication distribution patterns in this research area. Additionally, the study examined the mean relative growth rate (RGR), doubling time (Dt) for publications and citations, and other key scientometric indicators. The findings demonstrate strong growth and high citation impact in non-conventional energy research, with India and the global research community making significant contributions. Collaborative networks, particularly with the United States of America, play a substantial role in advancing this field. These insights underscore the importance of continued research and collaboration in non-conventional energy to address global energy challenges.
References
Balz, T. (2022). Scientometric full-text analysis of papers published in Remote Sensing between 2009 and 2021. Remote Sensing, 14(17), 1-26. https://doi.org/10.3390/rs14174285
Bungau, C. C., Hanga Prada, F. I., Bungau, T., Bungau, C., Bendea, G., & Prada, M. F. (2023). Web of Science scientometrics on the energy efficiency of buildings to support sustainable construction policies. Sustainability, 15(11), 8772. https://doi.org/10.3390/su15118772
Chhatar, D., & Maharana, B. (2018). Pattern of research collaboration in the discipline of pure sciences in the universities of Odisha: A scientometric study. International Journal of Library and Information Studies, 8(64344), 254-260.
Chatterjee, J., & Dethlefs, N. (2021). Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present, and future. Renewable and Sustainable Energy Reviews, 144, 111051. https://doi.org/10.1016/j.rser.2021.111051
Ghalambaz, M., Sheremet, M., Fauzi, M. A., Fteiti, M., & Younis, O. (2023). A scientometrics review of solar thermal energy storage (STES) during the past forty years. Journal of Energy Storage, 66, 107266. https://doi.org/10.1016/j.est.2023.107266
Gholampour, B., Gholampour, S., & Noruzi, A. (2022). Research trend analysis of information science in France based on total, cited, and uncited publications: A scientometric and altmetric analysis. Informology, 1(1), 7-26. https://www.informology.org/2022/v1n1/toc.html
Gupta, S., & Hasan, N. (2018). Scientometric analysis of metamorphosis: A journal of management research. DESIDOC Journal of Library and Information Technology, 38(4), 254-258. https://doi.org/10.14429/djlit.38.4.12511
Hulloli, P. B., & Mani, C. (2021). Research on electric vehicles in India and the USA: A scientometric study. Asian Journal of Information Science and Technology, 11(1), 50-54. https://doi.org/10.51983/ajist-2021.11.1.2690
Jayasree, V., & Baby, M. D. (2019). A scientometric analysis of Indian research output in marine drugs during 1989-2017. Asian Journal of Information Science and Technology, 9(3), 25-30. https://doi.org/10.51983/ajist-2019.9.3.292
Kavitha, N., & Chandrashekara, M. (2020). Scientometric portrait of Professor K. Byrappa: Scientist of high repute. Asian Journal of Information Science and Technology, 10(2), 15-20. https://doi.org/10. 51983/ajist-2020.10.2.308
Konur, O. (2012). The evaluation of the bio-oil research: A scientometric approach. Energy Education Science and Technology Part A: Energy Science and Research, 30(1), 379-392.
Ligade, V. S. (2022). Indian journal of dermatology, venereology and leprology: A scientometric analysis. Indian Journal of Dermatology, Venereology and Leprology, 88(6), 788-791. https://doi.org/10.25259/IJDVL_490_2021
Nandeesha, B., & Begum, K. J. (2023). Communication disorders research literature: A scientometric profile. Asian Review of Social Sciences, 12(2), 53-61. https://doi.org/10.51983/arss-2023.12.2.3782
Nayak, S. (2022). Applicability of Zipf’s law in Indian agricultural literature as reflected in WOS. International Journal of Research and Analytical Reviews, 9(4), 2348-1269.
Palod, R. J., Joshi, M. M., Kumar, R., & Ligade, V. S. (2022). Suicide and suicidal ideation in the times of the COVID-19 pandemic: A scientometric analysis. Indian Journal of Psychiatry, 64(5), 497-504. https://doi.org/10.4103/indianjpsychiatry.indianj psychiatry_382_21
Pandey, N. K., & Pandey, B. N. (2022). Authorship and collaboration pattern of SRELS journal during 2016-2020: Scientometrics mapping. International Journal of Research in Library Science, 8(1), 249-257. https://doi.org/10.26761/ijrls.8.1.2022.1515
Parida, D. K., & Nayak, S. (2023). Authorship pattern & research collaboration of bifurcation research during 2016-2020: A scientometric analysis. International Journal of Knowledge Content Development & Technology, 13(3), 47-56.
Lv, P., Niu, Z., & Jiongfei, X. (2012). Scientometric trend analysis on global green renewable energy standards. Geomatics and Information Science of Wuhan University, 37(1), 42-68.
Rajendran, L. (2019). Banana study publications: A scientometric evaluation on Cab Direct for the period 1978-2018. Asian Journal of Information Science and Technology, 9(3), 44-47. https://doi.org/10.51983/ajist-2019.9.3.289
Rajendran, P., Manickara, J., & Elango, B. (2013). Scientometric analysis of India’s research output on wireless communication (2001-2012). Journal of Advances in Library and Information Science, 2(3), 105-111. http://www.jalis.in/pdf/1-Rajendran.pdf
Ramakrishnan, J., Ravi Sankar, G., & Thavamani, K. (2022). A bibliometric analysis on polio research productivity. Asian Journal of Information Science and Technology, 12(1), 45-57. https://doi.org/10.51983/ajist-2022.12.1.3103
Ravichandran, S., & Rajendran, D. P. (2023). Social media research publications from Scopus database during 2011-2020: A scientometric study. International Journal of Research and Analytical Reviews (IJRAR), 10(4), 311-322.
Rosokhata, A., Minchenko, M., Khomenko, L., & Chygryn, O. (2021). Renewable energy: A bibliometric analysis. E3S Web of Conferences, 250, 1-11. https://doi.org/10.1051/e3sconf/202125003002
Shanmugam, R., & Vivekanandhan, S. (2022). Solar cell research output in India: A scientometric study. International Journal of Scientific Engineering and Applied Science (IJSEAS), 8(7), 138-158.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Centre for Research and Innovation
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.