Sanjay Kumar
Impact in
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- Multi-Criteria Decision Making
- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Statistics and Probability top 1%
- Fuzzy Systems and Optimization
Papers in
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- Stock Market Forecasting Methods 36
- Multi-Criteria Decision Making 25
- Forecasting Techniques and Applications 16
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- Fuzzy Logic and Control Systems 26
- Co-authors
- Deepa Joshi (5 shared papers)Bhagawati Prasad Joshi (7 shared papers)H. Hannah Inbarani (9 shared papers)Krishna Kumar Gupta (7 shared papers)Manish Pant (5 shared papers)Reshma Rastogi (4 shared papers)Ismat Beg (4 shared papers)Ahmad Taher Azar (4 shared papers)
In The Last Decade
Sanjay Kumar
93 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 116
- Management Science and Operations Research 1.4k
- Statistics and Probability 305
- Signal Processing 295
- Artificial Intelligence 711
- Computational Theory and Mathematics 278
Countries citing papers authored by Sanjay Kumar
This map shows the geographic impact of Sanjay Kumar'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 Sanjay Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjay Kumar more than expected).
Fields of papers citing papers by Sanjay Kumar
This network shows the impact of papers produced by Sanjay Kumar. 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 Sanjay Kumar. The network helps show where Sanjay Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Sanjay Kumar, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 255 | |
| 2 | 2014 | 135 | |
| 3 | 2016 | 105 | |
| 4 | 2012 | 95 | |
| 5 | 2016 | 88 | |
| 6 | 2015 | 84 | |
| 7 | 2012 | 65 | |
| 8 | 2021 | 61 | |
| 9 | 2014 | 53 | |
| 10 | 2015 | 51 | |
| 11 | 2021 | 49 | |
| 12 | 2020 | 48 | |
| 13 | 2016 | 46 | |
| 14 | 2018 | 46 | |
| 15 | 2021 | 45 | |
| 16 | 2012 | 41 | |
| 17 | 2012 | 40 | |
| 18 | 2020 | 38 | |
| 19 | 2012 | 36 | |
| 20 | 2017 | 36 |
About Sanjay Kumar
Sanjay Kumar is a scholar working on Management Science and Operations Research, Artificial Intelligence, Statistics and Probability, Control and Systems Engineering and Computational Theory and Mathematics, having authored 100 papers that have together received 2.2k indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (36 papers), Fuzzy Logic and Control Systems (26 papers), Multi-Criteria Decision Making (25 papers), Fuzzy Systems and Optimization (22 papers), Forecasting Techniques and Applications (16 papers), Optimization and Mathematical Programming (15 papers), Rough Sets and Fuzzy Logic (13 papers) and Complex Systems and Time Series Analysis (13 papers). The work is most often cited by research in Management Science and Operations Research (1.4k citations), Statistics and Probability (305 citations), Signal Processing (295 citations), Artificial Intelligence (711 citations) and Computational Theory and Mathematics (278 citations). Sanjay Kumar has collaborated with scholars based in India, Egypt and Pakistan. Frequent co-authors include Deepa Joshi, Bhagawati Prasad Joshi, H. Hannah Inbarani, Krishna Kumar Gupta, Manish Pant, Reshma Rastogi, Ismat Beg, Ahmad Taher Azar, Mukesh Pandey and Abid Haleem. Their work appears in journals such as Granular Computing, Expert Systems with Applications, Advances in Complex Systems, Engineering Applications of Artificial Intelligence and European Journal of Operational Research.
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.