Debasmit Das
Impact in
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM
- Anomaly Detection Techniques and Applications
Papers in
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- Multimodal Machine Learning Applications 7
- Advanced Neural Network Applications 6
- Advanced Vision and Imaging 2
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- Domain Adaptation and Few-Shot Learning 12
- Machine Learning and ELM 3
- Co-authors
- C. S. George Lee (3 shared papers)Roshan Kumar (1 shared paper)Parasuraman Sumathi (1 shared paper)Seung-Han Yang (2 shared papers)Fatih Porikli (8 shared papers)Hyunsin Park (1 shared paper)Seokeon Choi (3 shared papers)Hyojin Park (4 shared papers)
- Journals
- IEEE Transactions on Image Processing (2 papers)Engineering Applications of Artificial Intelligence (1 paper)IEEE Transactions on Instrumentation and Measurement (1 paper)Lecture notes in computer science (1 paper)2022 IEEE International Conference on Image Processing (ICIP) (1 paper)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Debasmit Das
21 papers receiving 384 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 181
- Artificial Intelligence 228
- Signal Processing 40
- Radiology, Nuclear Medicine and Imaging 41
- Media Technology 15
Countries citing papers authored by Debasmit Das
This map shows the geographic impact of Debasmit 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 Debasmit Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debasmit Das more than expected).
Fields of papers citing papers by Debasmit Das
This network shows the impact of papers produced by Debasmit 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 Debasmit Das. The network helps show where Debasmit Das may publish in the future.
Co-authors
The 18 scholars most cited alongside Debasmit 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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 127 | |
| 2 | 2018 | 52 | |
| 3 | 2014 | 45 | |
| 4 | 2018 | 43 | |
| 5 | 2023 | 41 | |
| 6 | 2022 | 16 | |
| 7 | 2020 | 12 | |
| 8 | 2023 | 11 | |
| 9 | Cross-Scene Trajectory Level Intention Inference using Gaussian Process Regression and Naive Registration | 2018 | 7 |
| 10 | 2023 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 5 | |
| 13 | 2013 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2023 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2022 | 1 |
About Debasmit Das
Debasmit Das is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Radiology, Nuclear Medicine and Imaging and Information Systems, having authored 23 papers that have together received 396 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (12 papers), Multimodal Machine Learning Applications (7 papers), Advanced Neural Network Applications (6 papers), COVID-19 diagnosis using AI (3 papers), Machine Learning and ELM (3 papers), User Authentication and Security Systems (2 papers), Advanced Vision and Imaging (2 papers) and Biometric Identification and Security (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (181 citations), Artificial Intelligence (228 citations), Signal Processing (40 citations), Radiology, Nuclear Medicine and Imaging (41 citations) and Media Technology (15 citations). Debasmit Das has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include C. S. George Lee, Roshan Kumar, Parasuraman Sumathi, Seung-Han Yang, Fatih Porikli, Hyunsin Park, Seokeon Choi, Hyojin Park, Hong Cai and Jaegul Choo. Their work appears in journals such as IEEE Transactions on Image Processing, Engineering Applications of Artificial Intelligence, IEEE Transactions on Instrumentation and Measurement, Lecture notes in computer science and 2022 IEEE International Conference on Image Processing (ICIP).
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.