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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- Domain Adaptation and Few-Shot Learning 10
- Machine Learning and ELM 3
- Speech Recognition and Synthesis 2
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- Advanced Neural Network Applications 6
- Multimodal Machine Learning Applications 5
- Advanced Image and Video Retrieval Techniques 2
- Co-authors
- C. S. George Lee (2 shared papers)P. Sumathi (1 shared paper)Roshan Kumar (1 shared paper)Fatih Porikli (7 shared papers)Hyunsin Park (1 shared paper)Seung-Han Yang (2 shared papers)Seokeon Choi (2 shared papers)Hyojin Park (4 shared papers)
- Journals
- IEEE Transactions on Image Processing (2 papers)IEEE Transactions on Instrumentation and Measurement (1 paper)Engineering Applications of Artificial Intelligence (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)Purdue e-Pubs (Purdue University System) (1 paper)
- Partner nations
- United KingdomUnited StatesSouth Korea
In The Last Decade
Debasmit Das
18 papers receiving 294 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 135
- Artificial Intelligence 170
- Signal Processing 37
- Media Technology 14
- Radiology, Nuclear Medicine and Imaging 28
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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 116 | |
| 2 | 2018 | 45 | |
| 3 | 2014 | 43 | |
| 4 | 2023 | 28 | |
| 5 | 2022 | 14 | |
| 6 | 2020 | 11 | |
| 7 | 2023 | 7 | |
| 8 | Cross-Scene Trajectory Level Intention Inference using Gaussian Process Regression and Naive Registration | 2018 | 6 |
| 9 | 2023 | 5 | |
| 10 | 2023 | 5 | |
| 11 | 2022 | 5 | |
| 12 | 2013 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2023 | 2 | |
| 16 | 2021 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 0 |
About Debasmit Das
Debasmit Das is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 303 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (10 papers), Advanced Neural Network Applications (6 papers), Multimodal Machine Learning Applications (5 papers), Machine Learning and ELM (3 papers), COVID-19 diagnosis using AI (2 papers), Biometric Identification and Security (2 papers), Speech Recognition and Synthesis (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (135 citations), Artificial Intelligence (170 citations), Signal Processing (37 citations), Media Technology (14 citations) and Radiology, Nuclear Medicine and Imaging (28 citations). Debasmit Das has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include C. S. George Lee, P. Sumathi, Roshan Kumar, Fatih Porikli, Hyunsin Park, Seung-Han Yang, Seokeon Choi, Hyojin Park, Hong Cai and Arka Ghosh. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Instrumentation and Measurement, Engineering Applications of Artificial Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Purdue e-Pubs (Purdue University System).
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.