Subir Gupta
Impact in
-
- Brain Tumor Detection and Classification
Papers in
-
- Market Dynamics and Volatility 6
- Co-authors
- Nil Ratan Bandyopadhyay (3 shared papers)Subhas Ganguly (3 shared papers)Malay K. Kundu (2 shared papers)Sudip Kumar Sinha (1 shared paper)Biswajit Mondal (2 shared papers)Bidhan Chandra Koner (1 shared paper)A. K. Mitra (1 shared paper)Debasis De (1 shared paper)
In The Last Decade
Subir Gupta
21 papers receiving 119 citations
Peers
Comparison fields: 5 of 69
- Metals and Alloys 10
- Neurology 14
- Management Science and Operations Research 20
- Health Information Management 7
- Structural Biology 2
Countries citing papers authored by Subir Gupta
This map shows the geographic impact of Subir Gupta'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 Subir Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subir Gupta more than expected).
Fields of papers citing papers by Subir Gupta
This network shows the impact of papers produced by Subir Gupta. 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 Subir Gupta. The network helps show where Subir Gupta may publish in the future.
Co-authors
The 25 scholars most cited alongside Subir Gupta, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 38 | |
| 2 | 2020 | 24 | |
| 3 | 2019 | 10 | |
| 4 | 2019 | 10 | |
| 5 | 2022 | 9 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2023 | 1 |
About Subir Gupta
Subir Gupta is a scholar working on Artificial Intelligence, Economics and Econometrics, Management Science and Operations Research, Computer Networks and Communications and Information Systems, having authored 43 papers that have together received 144 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (7 papers), Market Dynamics and Volatility (6 papers), COVID-19 diagnosis using AI (4 papers), Advanced Malware Detection Techniques (4 papers), Hydrogen embrittlement and corrosion behaviors in metals (3 papers), Artificial Intelligence in Healthcare (3 papers), Network Security and Intrusion Detection (3 papers) and Microstructure and Mechanical Properties of Steels (3 papers). The work is most often cited by research in Metals and Alloys (10 citations), Neurology (14 citations), Management Science and Operations Research (20 citations), Health Information Management (7 citations) and Structural Biology (2 citations). Subir Gupta has collaborated with scholars based in India, Morocco and Egypt. Frequent co-authors include Nil Ratan Bandyopadhyay, Subhas Ganguly, Malay K. Kundu, Sudip Kumar Sinha, Biswajit Mondal, Bidhan Chandra Koner, A. K. Mitra, Debasis De, Amiya Dey and Sudhansu Shekhar Patra. Their work appears in journals such as Materials Chemistry and Physics, Measurement, Journal of The Institution of Engineers (India) Series D, IET Cyber-Physical Systems Theory & Applications and Journal of Computer Science.
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.