Tapas Badal
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Currency Recognition and Detection
Papers in
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- Video Surveillance and Tracking Methods 12
- Human Pose and Action Recognition 4
- Advanced Vision and Imaging 3
- Context-Aware Activity Recognition Systems 2
- Robotic Path Planning Algorithms 2
- Advanced Image Processing Techniques 2
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- Anomaly Detection Techniques and Applications 4
- Co-authors
- Gaurav Singal (4 shared papers)Vipul Kumar Mishra (4 shared papers)Venkataramana Veeramsetty (2 shared papers)Rishav Singh (3 shared papers)Aditi Sakalle (2 shared papers)Ankit Vidyarthi (2 shared papers)Harshit Bhardwaj (2 shared papers)Manish Raj (1 shared paper)
In The Last Decade
Tapas Badal
21 papers receiving 215 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 138
- Health Informatics 7
- Human-Computer Interaction 28
- Artificial Intelligence 76
- Radiology, Nuclear Medicine and Imaging 37
Countries citing papers authored by Tapas Badal
This map shows the geographic impact of Tapas Badal'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 Tapas Badal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tapas Badal more than expected).
Fields of papers citing papers by Tapas Badal
This network shows the impact of papers produced by Tapas Badal. 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 Tapas Badal. The network helps show where Tapas Badal may publish in the future.
Co-authors
The 25 scholars most cited alongside Tapas Badal, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 56 | |
| 2 | 2022 | 31 | |
| 3 | 2020 | 27 | |
| 4 | 2021 | 23 | |
| 5 | 2022 | 22 | |
| 6 | 2020 | 17 | |
| 7 | 2021 | 16 | |
| 8 | 2022 | 14 | |
| 9 | 2022 | 12 | |
| 10 | 2015 | 6 | |
| 11 | 2021 | 5 | |
| 12 | 2019 | 5 | |
| 13 | 2018 | 5 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2015 | 1 | |
| 20 | 2019 | 1 |
About Tapas Badal
Tapas Badal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Automotive Engineering and Information Systems, having authored 24 papers that have together received 252 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (12 papers), Human Pose and Action Recognition (4 papers), Anomaly Detection Techniques and Applications (4 papers), Advanced Vision and Imaging (3 papers), Context-Aware Activity Recognition Systems (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Robotic Path Planning Algorithms (2 papers) and Advanced Image Processing Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (138 citations), Health Informatics (7 citations), Human-Computer Interaction (28 citations), Artificial Intelligence (76 citations) and Radiology, Nuclear Medicine and Imaging (37 citations). Tapas Badal has collaborated with scholars based in India and Italy. Frequent co-authors include Gaurav Singal, Vipul Kumar Mishra, Venkataramana Veeramsetty, Rishav Singh, Aditi Sakalle, Ankit Vidyarthi, Harshit Bhardwaj, Manish Raj, G. R. Sinha and Anurag Goswami. Their work appears in journals such as Multimedia Tools and Applications, Image and Vision Computing, Automated Software Engineering, Computational Intelligence and Neuroscience and Applied Intelligence.
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.