S. Jeevaraj
Impact in
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- Multi-Criteria Decision Making
- Statistics and Probability top 2%
- Fuzzy Systems and Optimization
Papers in
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- Multi-Criteria Decision Making 25
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- Optimization and Mathematical Programming 20
- Co-authors
- V. Lakshmana Gomathi Nayagam (9 shared papers)Geetha Sivaraman (3 shared papers)Ajay Kumar (3 shared papers)Melfi Alrasheedi (2 shared papers)Rohit Agrawal (1 shared paper)Abhijit Majumdar (1 shared paper)K. Mathiyazhagan (1 shared paper)R. Rajesh (1 shared paper)
- Journals
- Expert Systems with Applications (4 papers)Neural Computing and Applications (3 papers)Soft Computing (3 papers)Artificial Intelligence Review (1 paper)Complex & Intelligent Systems (1 paper)
- Partner nations
- IndiaUnited KingdomTürkiye
In The Last Decade
S. Jeevaraj
30 papers receiving 463 citations
Peers
Comparison fields: 5 of 66
- Management Science and Operations Research 378
- Statistics and Probability 159
- Control and Systems Engineering 196
- Strategy and Management 65
- Statistics, Probability and Uncertainty 21
Countries citing papers authored by S. Jeevaraj
This map shows the geographic impact of S. Jeevaraj'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 S. Jeevaraj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Jeevaraj more than expected).
Fields of papers citing papers by S. Jeevaraj
This network shows the impact of papers produced by S. Jeevaraj. 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 S. Jeevaraj. The network helps show where S. Jeevaraj may publish in the future.
Co-authors
The 20 scholars most cited alongside S. Jeevaraj, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 130 | |
| 2 | 2016 | 52 | |
| 3 | 2016 | 31 | |
| 4 | 2016 | 27 | |
| 5 | 2016 | 25 | |
| 6 | 2020 | 23 | |
| 7 | 2023 | 19 | |
| 8 | 2021 | 19 | |
| 9 | 2022 | 16 | |
| 10 | 2016 | 15 | |
| 11 | 2016 | 13 | |
| 12 | 2023 | 13 | |
| 13 | 2016 | 11 | |
| 14 | 2025 | 9 | |
| 15 | 2024 | 8 | |
| 16 | 2019 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2021 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2024 | 6 |
About S. Jeevaraj
S. Jeevaraj is a scholar working on Management Science and Operations Research, Control and Systems Engineering, Statistics and Probability, Artificial Intelligence and Strategy and Management, having authored 31 papers that have together received 472 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (25 papers), Optimization and Mathematical Programming (20 papers), Fuzzy Systems and Optimization (13 papers), Sustainable Supply Chain Management (3 papers), Sentiment Analysis and Opinion Mining (2 papers), Rough Sets and Fuzzy Logic (2 papers), COVID-19 diagnosis using AI (2 papers) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Management Science and Operations Research (378 citations), Statistics and Probability (159 citations), Control and Systems Engineering (196 citations), Strategy and Management (65 citations) and Statistics, Probability and Uncertainty (21 citations). S. Jeevaraj has collaborated with scholars based in India, United Kingdom and Türkiye. Frequent co-authors include V. Lakshmana Gomathi Nayagam, Geetha Sivaraman, Ajay Kumar, Melfi Alrasheedi, Rohit Agrawal, Abhijit Majumdar, K. Mathiyazhagan, R. Rajesh, Ilgın Gökaşar and Muhammet Deveci. Their work appears in journals such as Expert Systems with Applications, Neural Computing and Applications, Soft Computing, Artificial Intelligence Review and Complex & Intelligent Systems.
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.