Tapas Si
Impact in
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- AI in cancer detection
- Evolutionary Algorithms and Applications
- Neural Networks and Applications
- Neurology top 10%
- Brain Tumor Detection and Classification
Papers in
-
- Metaheuristic Optimization Algorithms Research 28
- Evolutionary Algorithms and Applications 16
- AI in cancer detection 10
-
- Medical Image Segmentation Techniques 14
- Advanced Neural Network Applications 8
- Co-authors
- Pericles B. C. de Miranda (14 shared papers)Anup Kumar Bhattacharjee (7 shared papers)Nanda Dulal Jana (11 shared papers)Saurav Mallik (13 shared papers)Pabitra Pal (2 shared papers)Jaya Sil (5 shared papers)Utpal Nandi (8 shared papers)Rituparna Ghosh (1 shared paper)
- Journals
- Expert Systems with Applications (5 papers)Multimedia Tools and Applications (3 papers)IEEE Access (3 papers)Artificial Intelligence Review (2 papers)Scientific Reports (2 papers)
- Partner nations
- IndiaBrazilUnited States
In The Last Decade
Tapas Si
73 papers receiving 593 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 349
- Neurology 74
- Computer Vision and Pattern Recognition 159
- Health Information Management 22
- Radiology, Nuclear Medicine and Imaging 95
Countries citing papers authored by Tapas Si
This map shows the geographic impact of Tapas Si'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 Tapas Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tapas Si more than expected).
Fields of papers citing papers by Tapas Si
This network shows the impact of papers produced by Tapas Si. 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 Tapas Si. The network helps show where Tapas Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Tapas Si, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 54 | |
| 2 | 2022 | 44 | |
| 3 | 2021 | 35 | |
| 4 | 2022 | 30 | |
| 5 | 2019 | 26 | |
| 6 | 2018 | 19 | |
| 7 | 2022 | 19 | |
| 8 | 2023 | 16 | |
| 9 | 2023 | 16 | |
| 10 | 2011 | 16 | |
| 11 | 2011 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2022 | 13 | |
| 14 | 2015 | 13 | |
| 15 | 2017 | 12 | |
| 16 | 2015 | 12 | |
| 17 | 2013 | 12 | |
| 18 | 2016 | 10 | |
| 19 | 2014 | 10 | |
| 20 | 2023 | 10 |
About Tapas Si
Tapas Si is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Neurology, Radiology, Nuclear Medicine and Imaging and Computational Theory and Mathematics, having authored 80 papers that have together received 610 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (28 papers), Evolutionary Algorithms and Applications (16 papers), Medical Image Segmentation Techniques (14 papers), Brain Tumor Detection and Classification (11 papers), Advanced Multi-Objective Optimization Algorithms (10 papers), AI in cancer detection (10 papers), MRI in cancer diagnosis (9 papers) and Advanced Neural Network Applications (8 papers). The work is most often cited by research in Artificial Intelligence (349 citations), Neurology (74 citations), Computer Vision and Pattern Recognition (159 citations), Health Information Management (22 citations) and Radiology, Nuclear Medicine and Imaging (95 citations). Tapas Si has collaborated with scholars based in India, Brazil and United States. Frequent co-authors include Pericles B. C. de Miranda, Anup Kumar Bhattacharjee, Nanda Dulal Jana, Saurav Mallik, Pabitra Pal, Jaya Sil, Utpal Nandi, Rituparna Ghosh, Asim Bikas Das and Biplab Mandal. Their work appears in journals such as Expert Systems with Applications, Multimedia Tools and Applications, IEEE Access, Artificial Intelligence Review and Scientific Reports.
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.