Amit Kumar Das
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Plant Science
- Molecular Biology
- Co-authors
- Amlan ChakrabartiSaptarsi GoswamiSachin AgarwalBasabi ChakrabortyHimadri Nath SahaSruti Das ChoudhurySoumya SenSanjay Chakraborty
- Topics
- Face and Expression Recognition (5 papers)Artificial Intelligence in Healthcare (3 papers)Text and Document Classification Technologies (3 papers)
- Partner nations
- IndiaJapanUnited States
In The Last Decade
Amit Kumar Das
22 papers receiving 417 citations
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 205
- Radiology, Nuclear Medicine and Imaging 136
- Computer Vision and Pattern Recognition 85
- Plant Science 69
- Molecular Biology 35
Countries citing papers authored by Amit Kumar Das
This map shows the geographic impact of Amit 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 Amit 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 Amit Kumar Das more than expected).
Fields of papers citing papers by Amit Kumar Das
This network shows the impact of papers produced by Amit 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 Amit Kumar Das. The network helps show where Amit Kumar Das may publish in the future.
Co-authorship network of co-authors of Amit Kumar Das
This figure shows the co-authorship network connecting the top 25 collaborators of Amit Kumar Das. A scholar is included among the top collaborators of Amit 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 Amit Kumar Das. Amit 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 | 1 | |
| 3 | 5 | |
| 4 | 47 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 145 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 9 | |
| 13 | 86 | |
| 14 | 40 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | A Spam Detection Study of Tweets in Indian Healthcare | 1 |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 5 |
About Amit Kumar Das
Amit Kumar Das is a scholar working on Health Information Management, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 24 papers that have together received 438 indexed citations. Recurring topics across this work include Face and Expression Recognition (5 papers), Artificial Intelligence in Healthcare (3 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Health Informatics (24 citations), Artificial Intelligence (205 citations) and Radiology, Nuclear Medicine and Imaging (136 citations). Amit Kumar Das has collaborated with scholars based in India, Japan and United States. Frequent co-authors include Amlan Chakrabarti, Saptarsi Goswami, Sachin Agarwal, Basabi Chakraborty, Himadri Nath Saha, Sruti Das Choudhury, Soumya Sen, Sanjay Chakraborty, Sajal Sarkar and Jyotsna Kumar Mandal. Their work appears in journals such as Expert Systems with Applications, Fuzzy Sets and Systems and Gastrointestinal Endoscopy.
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.