Abir Das
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Video Analysis and Summarization
- Advanced Image and Video Retrieval Techniques
- Face recognition and analysis
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
Papers in
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- Human Pose and Action Recognition 7
- Video Surveillance and Tracking Methods 7
- Multimodal Machine Learning Applications 5
- Video Analysis and Summarization 4
- Advanced Neural Network Applications 3
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- Anomaly Detection Techniques and Applications 5
- Domain Adaptation and Few-Shot Learning 4
- Co-authors
- Kate Saenko (7 shared papers)Huijuan Xu (2 shared papers)Amit K. Roy–Chowdhury (8 shared papers)Anirban Chakraborty (2 shared papers)Vasili Ramanishka (2 shared papers)Niki Martinel (2 shared papers)Christian Micheloni (2 shared papers)Rameswar Panda (6 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)IEEE Access (1 paper)Scientific Reports (1 paper)Lecture notes in computer science (3 papers)Journal of Neuroscience Methods (1 paper)
- Partner nations
- United StatesIndiaItaly
In The Last Decade
Abir Das
25 papers receiving 1.3k citations
Abir Das's Hit Papers
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 526
- Signal Processing 83
- Health Informatics 9
- Human-Computer Interaction 36
Countries citing papers authored by Abir Das
This map shows the geographic impact of Abir 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 Abir Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abir Das more than expected).
Fields of papers citing papers by Abir Das
This network shows the impact of papers produced by Abir 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 Abir Das. The network helps show where Abir Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Abir 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | R-C3D: Region Convolutional 3D Network for Temporal Activity Detection Hit paper breakdown → | 2017 | 504 |
| 2 | 2014 | 136 | |
| 3 | 2018 | 114 | |
| 4 | 2017 | 96 | |
| 5 | 2016 | 94 | |
| 6 | 2017 | 79 | |
| 7 | 2016 | 70 | |
| 8 | 2014 | 49 | |
| 9 | 2020 | 45 | |
| 10 | 2015 | 29 | |
| 11 | 2019 | 29 | |
| 12 | 2023 | 14 | |
| 13 | 2015 | 13 | |
| 14 | 2016 | 13 | |
| 15 | 2024 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2013 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2025 | 2 |
About Abir Das
Abir Das is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Video Surveillance and Tracking Methods (7 papers), Anomaly Detection Techniques and Applications (5 papers), Multimodal Machine Learning Applications (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Video Analysis and Summarization (4 papers), Gait Recognition and Analysis (4 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (526 citations), Signal Processing (83 citations), Health Informatics (9 citations) and Human-Computer Interaction (36 citations). Abir Das has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Kate Saenko, Huijuan Xu, Amit K. Roy–Chowdhury, Anirban Chakraborty, Vasili Ramanishka, Niki Martinel, Christian Micheloni, Rameswar Panda, Jianming Zhang and Jan Ernst. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access, Scientific Reports, Lecture notes in computer science and Journal of Neuroscience Methods.
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.