A. Das
Impact in
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- Multimodal Machine Learning Applications
- Robotic Path Planning Algorithms
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
Papers in
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- Geochemistry and Geologic Mapping 3
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- Web Data Mining and Analysis 1
- Co-authors
- Dhruv Batra (1 shared paper)Erik Wijmans (1 shared paper)Andrew Griffiths (1 shared paper)Patrick Gaydecki (1 shared paper)Sanjay Gupta (1 shared paper)Piyush Kumar Shukla (1 shared paper)Vinay Pratap Singh (1 shared paper)Sakshi Mehta (1 shared paper)
- Journals
- Physical review. B. (1 paper)Agricultural Systems (1 paper)Ore Geology Reviews (1 paper)Journal of Earth System Science (1 paper)International Journal of Business Intelligence and Data Mining (1 paper)
- Partner nations
- IndiaBangladeshUnited States
In The Last Decade
A. Das
10 papers receiving 61 citations
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 22
- Human-Computer Interaction 4
- Artificial Intelligence 19
- Cardiology and Cardiovascular Medicine 10
- Biomedical Engineering 14
Countries citing papers authored by A. Das
This map shows the geographic impact of A. 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 A. Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Das more than expected).
Fields of papers citing papers by A. Das
This network shows the impact of papers produced by A. 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 A. Das. The network helps show where A. Das may publish in the future.
Co-authors
The 18 scholars most cited alongside A. Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 34 | |
| 2 | 2007 | 16 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2022 | 1 | |
| 7 | 2025 | 1 | |
| 8 | 2025 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2024 | 0 | |
| 13 | 2022 | 0 |
About A. Das
A. Das is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Geophysics and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 63 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (3 papers), Geochemistry and Geologic Mapping (3 papers), earthquake and tectonic studies (2 papers), Mineral Processing and Grinding (1 paper), Artificial Intelligence in Healthcare (1 paper), Smart Systems and Machine Learning (1 paper), Advanced Condensed Matter Physics (1 paper) and Web Data Mining and Analysis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (22 citations), Human-Computer Interaction (4 citations), Artificial Intelligence (19 citations), Cardiology and Cardiovascular Medicine (10 citations) and Biomedical Engineering (14 citations). A. Das has collaborated with scholars based in India, Bangladesh and United States. Frequent co-authors include Dhruv Batra, Erik Wijmans, Andrew Griffiths, Patrick Gaydecki, Sanjay Gupta, Piyush Kumar Shukla, Vinay Pratap Singh, Sakshi Mehta, A. Venimadhav and Debraj Choudhury. Their work appears in journals such as Physical review. B., Agricultural Systems, Ore Geology Reviews, Journal of Earth System Science and International Journal of Business Intelligence and Data Mining.
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.