Gopal Sakarkar
- Marketing top 10%
- Sociology and Political Science
- Artificial Intelligence
- Information Systems and Management
- Organizational Behavior and Human Resource Management
- Co-authors
- Juan C. CorreaAlejandro RincónPhillip BrookerYuki YamadaSusana Ruiz FernándezV. M. ThakareFernando Marmolejo‐RamosNatalie Butcher
- Topics
- Artificial Intelligence in Healthcare (3 papers)Online Learning and Analytics (2 papers)Multi-Agent Systems and Negotiation (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Retailing and Consumer ServicesMultimedia Tools and Applications
In The Last Decade
Gopal Sakarkar
23 papers receiving 178 citations
Peers
Comparison fields: 5 of 61
- Marketing 70
- Sociology and Political Science 55
- Artificial Intelligence 38
- Information Systems and Management 25
- Organizational Behavior and Human Resource Management 23
Countries citing papers authored by Gopal Sakarkar
This map shows the geographic impact of Gopal Sakarkar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gopal Sakarkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gopal Sakarkar more than expected).
Fields of papers citing papers by Gopal Sakarkar
This network shows the impact of papers produced by Gopal Sakarkar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gopal Sakarkar. The network helps show where Gopal Sakarkar may publish in the future.
Co-authorship network of co-authors of Gopal Sakarkar
This figure shows the co-authorship network connecting the top 25 collaborators of Gopal Sakarkar. A scholar is included among the top collaborators of Gopal Sakarkar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gopal Sakarkar. Gopal Sakarkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 0 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 5 | |
| 19 | 24 | |
| 20 | 4 |
About Gopal Sakarkar
Gopal Sakarkar is a scholar working on Health Information Management, Business and International Management and Computer Science Applications, having authored 30 papers that have together received 192 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (3 papers), Online Learning and Analytics (2 papers) and Multi-Agent Systems and Negotiation (2 papers). The work is most often cited by research in Marketing (70 citations), Information Systems and Management (25 citations) and Business and International Management (7 citations). Gopal Sakarkar has collaborated with scholars based in India, Indonesia and Malaysia. Frequent co-authors include Juan C. Correa, Alejandro Rincón, Phillip Brooker, Yuki Yamada, Susana Ruiz Fernández, V. M. Thakare, Fernando Marmolejo‐Ramos, Natalie Butcher, Nilesh Shelke and Filbert H. Juwono. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Retailing and Consumer Services and Multimedia Tools and Applications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.