Rajeeb Dey
Impact in
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- Stability and Control of Uncertain Systems
- Microgrid Control and Optimization
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- Diabetes Management and Research
Papers in
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- Stability and Control of Uncertain Systems 22
- Stability and Controllability of Differential Equations 7
- Microgrid Control and Optimization 5
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- Neural Networks Stability and Synchronization 17
- Co-authors
- Sandip Ghosh (11 shared papers)Anjan Rakshit (6 shared papers)Anirudh Nath (7 shared papers)G. Ray (7 shared papers)Dipankar Deb (8 shared papers)Baby Bhattacharya (9 shared papers)Goshaidas Ray (6 shared papers)Carlos Aguilar-Avelar (1 shared paper)
In The Last Decade
Rajeeb Dey
55 papers receiving 671 citations
Peers
Comparison fields: 5 of 64
- Control and Systems Engineering 428
- Endocrinology, Diabetes and Metabolism 155
- Computer Networks and Communications 186
- Health Information Management 26
- Computational Theory and Mathematics 61
Countries citing papers authored by Rajeeb Dey
This map shows the geographic impact of Rajeeb Dey'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 Rajeeb Dey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajeeb Dey more than expected).
Fields of papers citing papers by Rajeeb Dey
This network shows the impact of papers produced by Rajeeb Dey. 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 Rajeeb Dey. The network helps show where Rajeeb Dey may publish in the future.
Co-authors
The 25 scholars most cited alongside Rajeeb Dey, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 116 | |
| 2 | 2009 | 68 | |
| 3 | 2018 | 51 | |
| 4 | 2018 | 40 | |
| 5 | 2012 | 36 | |
| 6 | 2018 | 31 | |
| 7 | 2020 | 30 | |
| 8 | 2008 | 26 | |
| 9 | 2013 | 24 | |
| 10 | 2020 | 22 | |
| 11 | 2020 | 21 | |
| 12 | 2015 | 16 | |
| 13 | 2020 | 15 | |
| 14 | 2019 | 15 | |
| 15 | 2021 | 13 | |
| 16 | 2019 | 13 | |
| 17 | 2010 | 13 | |
| 18 | 2018 | 12 | |
| 19 | 2020 | 12 | |
| 20 | 2019 | 10 |
About Rajeeb Dey
Rajeeb Dey is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Electrical and Electronic Engineering, Computational Theory and Mathematics and Surgery, having authored 58 papers that have together received 697 indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (22 papers), Neural Networks Stability and Synchronization (17 papers), Matrix Theory and Algorithms (11 papers), Diabetes Management and Research (8 papers), Pancreatic function and diabetes (8 papers), Stability and Controllability of Differential Equations (7 papers), Diabetes and associated disorders (6 papers) and Microgrid Control and Optimization (5 papers). The work is most often cited by research in Control and Systems Engineering (428 citations), Endocrinology, Diabetes and Metabolism (155 citations), Computer Networks and Communications (186 citations), Health Information Management (26 citations) and Computational Theory and Mathematics (61 citations). Rajeeb Dey has collaborated with scholars based in India, Romania and Japan. Frequent co-authors include Sandip Ghosh, Anjan Rakshit, Anirudh Nath, G. Ray, Dipankar Deb, Baby Bhattacharya, Goshaidas Ray, Carlos Aguilar-Avelar, R. Saravanakumar and Valentina Emilia Bălaş. Their work appears in journals such as International Journal of Robust and Nonlinear Control, Information Sciences, Journal of Intelligent & Fuzzy Systems, IET Systems Biology and Optimal Control Applications and Methods.
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.