Abir Das
Impact in
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Video Analysis and Summarization
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- Explainable Artificial Intelligence (XAI)
Papers in
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- Multimodal Machine Learning Applications 5
- Video Surveillance and Tracking Methods 5
- Human Pose and Action Recognition 4
- Video Analysis and Summarization 4
- Advanced Neural Network Applications 3
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- Domain Adaptation and Few-Shot Learning 4
- Anomaly Detection Techniques and Applications 4
- Co-authors
- Kate Saenko (7 shared papers)Huijuan Xu (2 shared papers)Amit K. Roy–Chowdhury (6 shared papers)Vasili Ramanishka (2 shared papers)Rameswar Panda (5 shared papers)Jianming Zhang (1 shared paper)Ziyan Wu (1 shared paper)Dong Huk Park (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)IEEE Access (1 paper)Scientific Reports (1 paper)Journal of Neuroscience Methods (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Abir Das
21 papers receiving 969 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 802
- Artificial Intelligence 426
- Signal Processing 74
- Health Informatics 9
- Human-Computer Interaction 33
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 22 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 | 435 |
| 2 | 2018 | 96 | |
| 3 | 2016 | 91 | |
| 4 | 2017 | 90 | |
| 5 | 2017 | 66 | |
| 6 | 2014 | 47 | |
| 7 | 2020 | 42 | |
| 8 | 2015 | 28 | |
| 9 | 2019 | 26 | |
| 10 | 2023 | 13 | |
| 11 | 2016 | 12 | |
| 12 | 2015 | 10 | |
| 13 | 2020 | 7 | |
| 14 | 2013 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Abir Das
Abir Das is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering and Cancer Research, having authored 22 papers that have together received 988 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (5 papers), Video Surveillance and Tracking Methods (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Human Pose and Action Recognition (4 papers), Video Analysis and Summarization (4 papers), Anomaly Detection Techniques and Applications (4 papers), Advanced Neural Network Applications (3 papers) and Gait Recognition and Analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (802 citations), Artificial Intelligence (426 citations), Signal Processing (74 citations), Health Informatics (9 citations) and Human-Computer Interaction (33 citations). Abir Das has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Kate Saenko, Huijuan Xu, Amit K. Roy–Chowdhury, Vasili Ramanishka, Rameswar Panda, Jianming Zhang, Ziyan Wu, Dong Huk Park, Subhashini Venugopalan and Lisa Anne Hendricks. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access, Scientific Reports, Journal of Neuroscience Methods and arXiv (Cornell University).
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.