S. Jeevaraj
Impact in
-
- Multi-Criteria Decision Making
- Statistics and Probability top 2%
- Fuzzy Systems and Optimization
Papers in
-
- Multi-Criteria Decision Making 29
-
- Fuzzy Systems and Optimization 17
- Co-authors
- V. Lakshmana Gomathi NayagamGeetha SivaramanAbhijit MajumdarAjay KumarMelfi AlrasheediR. RajeshRohit AgrawalK. Mathiyazhagan
- Journals
- Expert Systems with Applications (4 papers)Neural Computing and Applications (4 papers)Soft Computing (3 papers)Complexity (2 papers)Engineering Applications of Artificial Intelligence (1 paper)
- Partner nations
- IndiaSaudi ArabiaUnited Kingdom
In The Last Decade
S. Jeevaraj
32 papers receiving 485 citations
Peers
Comparison fields: 5 of 66
- Management Science and Operations Research 415
- Statistics and Probability 178
- Control and Systems Engineering 229
- Strategy and Management 67
- Statistics, Probability and Uncertainty 23
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 18 | |
| 9 | 2023 | 12 | |
| 10 | 2022 | 15 | |
| 11 | 2022 | 7 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 122 | |
| 14 | 2021 | 14 | |
| 15 | 2020 | 23 | |
| 16 | 2020 | 2 | |
| 17 | 2019 | 8 | |
| 18 | 2016 | 29 | |
| 19 | 2016 | 51 | |
| 20 | 2016 | 12 |
About S. Jeevaraj
S. Jeevaraj is a scholar working on Management Science and Operations Research, Statistics and Probability, Control and Systems Engineering, General Dentistry and Signal Processing, having authored 34 papers that have together received 500 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (29 papers), Optimization and Mathematical Programming (24 papers), Fuzzy Systems and Optimization (17 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 Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Management Science and Operations Research (415 citations), Statistics and Probability (178 citations), Control and Systems Engineering (229 citations), Strategy and Management (67 citations) and Statistics, Probability and Uncertainty (23 citations). S. Jeevaraj has collaborated with scholars based in India, Saudi Arabia and United Kingdom. Frequent co-authors include V. Lakshmana Gomathi Nayagam, Geetha Sivaraman, Abhijit Majumdar, Ajay Kumar, Melfi Alrasheedi, R. Rajesh, Rohit Agrawal, K. Mathiyazhagan, Sarfaraz Hashemkhani Zolfani and Rachit Garg. Their work appears in journals such as Expert Systems with Applications, Neural Computing and Applications, Soft Computing, Complexity and Engineering Applications of Artificial Intelligence.
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.