Tapan Kumar Das
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Management Science and Operations Research top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Asis Kumar TripathyD. P. AcharjyaXiao‐Zhi GaoP. Mohan KumarPradeep Kumar RoyKathiravan SrinivasanManas Ranjan PatraSudhir Kumar Mohapatra
- Topics
- Rough Sets and Fuzzy Logic (8 papers)Multi-Criteria Decision Making (5 papers)Data Mining Algorithms and Applications (4 papers)
- Journals
- Scientific ReportsIEEE AccessSensors
In The Last Decade
Tapan Kumar Das
43 papers receiving 568 citations
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 250
- Information Systems 173
- Computer Networks and Communications 109
- Management Science and Operations Research 76
- Computer Vision and Pattern Recognition 73
Countries citing papers authored by Tapan Kumar Das
This map shows the geographic impact of Tapan Kumar Das'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 Tapan Kumar Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tapan Kumar Das more than expected).
Fields of papers citing papers by Tapan Kumar Das
This network shows the impact of papers produced by Tapan Kumar Das. 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 Tapan Kumar Das. The network helps show where Tapan Kumar Das may publish in the future.
Co-authorship network of co-authors of Tapan Kumar Das
This figure shows the co-authorship network connecting the top 25 collaborators of Tapan Kumar Das. A scholar is included among the top collaborators of Tapan Kumar Das based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tapan Kumar Das. Tapan Kumar Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 74 | |
| 12 | 18 | |
| 13 | 15 | |
| 14 | 14 | |
| 15 | 3 | |
| 16 | 18 | |
| 17 | 13 | |
| 18 | 11 | |
| 19 | 1 | |
| 20 | 13 |
About Tapan Kumar Das
Tapan Kumar Das is a scholar working on Management Science and Operations Research, Signal Processing and Computational Theory and Mathematics, having authored 48 papers that have together received 618 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (8 papers), Multi-Criteria Decision Making (5 papers) and Data Mining Algorithms and Applications (4 papers). The work is most often cited by research in Artificial Intelligence (250 citations), Information Systems (173 citations) and Management Information Systems (57 citations). Tapan Kumar Das has collaborated with scholars based in India, Taiwan and Finland. Frequent co-authors include Asis Kumar Tripathy, D. P. Acharjya, Xiao‐Zhi Gao, P. Mohan Kumar, Pradeep Kumar Roy, Kathiravan Srinivasan, Manas Ranjan Patra, Sudhir Kumar Mohapatra, Yuh‐Chung Hu and Alekha Kumar Mishra. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.
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.