Research ArticleJournal of Scientometric ResearchVol. 12 | Issue 2 | 2023 | pp. 357–371Open access
Ocean Renewable Energy: A Comparative Study of Indian and Global Collaborative Research for Sustainability and Policy Implications
- 1,2*,
- 3
- 1 CSIR-National Institute of Science Communication and Policy Research (NIScPR) K. S. Krishnan Marg, New Delhi, INDIA.
- 2 Centre for Studies in Science Policy, School of Social Sciences, Jawaharlal Nehru University, New Delhi, INDIA.
- 3 Department of Decision Sciences, Operations Management, and Information Systems, School of Management and Entrepreneurship, Shiv Nadar University, Greater Noida, Gautam Buddha Nagar, Uttar Pradesh, INDIA.
Published in Journal of Scientometric Research
Correspondence: Avinash Kshitij
CSIR-National Institute of Science Communication and Policy Research (NIScPR) K. S. Krishnan Marg, New Delhi, INDIA.; Centre for Studies in Science Policy, School of Social Sciences, Jawaharlal Nehru University, New Delhi, INDIA.
Email: avinash.kshitij@niscpr.res.in
Copyright: © 2023 Manuscript Technomedia. This is an open access article.
- Published:
- Sep 4, 2023
- Received:
- Jan 6, 2023
- Accepted:
- Jul 19, 2023
How to cite
Kshitij, A., & Ghosh, J. (2023). Ocean Renewable Energy: A Comparative Study of Indian and Global Collaborative Research for Sustainability and Policy Implications. Journal of Scientometric Research, 12(2), 357–371. https://doi.org/JScientometRes-12-2-357
Abstract
To combat the effects of climate change and meet the need for clean energy, the global power sector, over the past few decades, has been undergoing a major transformation for which all possible renewable energy sources are currently being utilized. To achieve sustainable growth, India, like many other countries, is also in the process of energy transition, aiming to shift to renewable energy-based power generation. In this transition, research in Ocean Renewable Energy (ORE) technologies is rising to rapid prominence. This study examines the state of ORE research in India and compares it with global research activities in this field using a graph-theoretical framework for collaboration co-authorship networks in ORE using bibliometric data on published scholarly articles indexed in two well-known electronic databases covering two 10-year windows: 1999-2008 and 2009-2018, inclusive. A strategic analysis of a number of metrics characterizing the networks’ large-scale structures reveals that the Indian network is highly fragmented, resulting in a singular dearth of large-scale connections for Indian ORE researchers. We recommend effective research policies to improve knowledge generation and dissemination in ORE research collaboration in India (and many other countries in similar situations), based on our findings for Indian networks and pertinent parallels with global ORE. With growing concerns about sustainable energy utilization, our study has policy implications for pressing issues of energy demands in the country.
Keywords
Subject
Article metadata
| Title | Ocean Renewable Energy: A Comparative Study of Indian and Global Collaborative Research for Sustainability and Policy Implications |
|---|---|
| Authors | Avinash Kshitij; Jaideep Ghosh |
| Affiliations | CSIR-National Institute of Science Communication and Policy Research (NIScPR) K. S. Krishnan Marg, New Delhi, INDIA.; Centre for Studies in Science Policy, School of Social Sciences, Jawaharlal Nehru University, New Delhi, INDIA.; Department of Decision Sciences, Operations Management, and Information Systems, School of Management and Entrepreneurship, Shiv Nadar University, Greater Noida, Gautam Buddha Nagar, Uttar Pradesh, INDIA. |
| Corresponding author | avinash.kshitij@niscpr.res.in |
| Journal | Journal of Scientometric Research |
| Volume / Issue | Vol. 12, Issue 2 (2023) |
Also in this issue
- The Hirsch Function and its Propertiespp. 229–233
- Quantitative Estimation of Trends in Artificial Intelligence Research: A Study of Bradford Distributions using Leimkuhler Modelpp. 234–242
- Discovering Search Space Using M-distance Clustering of Semantic Relatedness Based Weighted Network for the Content-based Recommender Systempp. 243–253
- Previous Year’s Cite Score Strongly Predicts the Next Year’s Score: Ten Years of Evidence for the Top 400 Scopus-indexed Journals of 2021pp. 254–263
- Strengthen of a Scientific Field in Latin America: Evolutionary Computationpp. 264–274
Readers Also Viewed
Development and Validation of UV/visible Spectrophotometric Method for Estimation of Piroxicam from Bulk and Formulation
Sandip Mohan Honmane, Kunal Rajaram Yadav, Yuvraj Dilip Dange
Apr 23, 2025
Effects of Artificial Intelligence on Academic Performance of Library and Information Science University Students: A Meta-Analysis (2023-2025)
Kayode Sunday John Dada
Aug 6, 2026
Bridging Innovation and Impact: A Multidisciplinary Approach to Contemporary Research Challenges
Mueen Ahmed KK
Aug 11, 2026