Teerath Kumar
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Media Technology top 10%
Papers in
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- Generative Adversarial Networks and Image Synthesis 3
- Advanced Image and Video Retrieval Techniques 3
- Advanced Neural Network Applications 2
- Image Enhancement Techniques 1
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- AI in cancer detection 2
- Co-authors
- Arunabha M. Roy (5 shared papers)Kislay Raj (5 shared papers)Malika Bendechache (7 shared papers)Rob Brennan (3 shared papers)Alessandra Mileo (3 shared papers)Bin Luo (3 shared papers)Cheng Zhang (2 shared papers)Takfarinas Saber (1 shared paper)
In The Last Decade
Teerath Kumar
18 papers receiving 621 citations
Teerath Kumar's Hit Papers
Peers
Comparison fields: 5 of 118
- Computer Vision and Pattern Recognition 226
- Media Technology 43
- Neurology 34
- Artificial Intelligence 134
- Industrial and Manufacturing Engineering 40
Countries citing papers authored by Teerath Kumar
This map shows the geographic impact of Teerath Kumar'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 Teerath Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teerath Kumar more than expected).
Fields of papers citing papers by Teerath Kumar
This network shows the impact of papers produced by Teerath Kumar. 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 Teerath Kumar. The network helps show where Teerath Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Teerath Kumar, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | WilDect-YOLO: An efficient and robust computer vision-based accurate object localization model for automated endangered wildlife detection Hit paper breakdown → | 2022 | 165 |
| 2 | Deep Learning-Based Cost-Effective and Responsive Robot for Autism Treatment Hit paper breakdown → | 2023 | 97 |
| 3 | Image Data Augmentation Approaches: A Comprehensive Survey and Future Directions Hit paper breakdown → | 2024 | 95 |
| 4 | 2023 | 61 | |
| 5 | 2022 | 51 | |
| 6 | 2023 | 43 | |
| 7 | 2021 | 42 | |
| 8 | 2022 | 41 | |
| 9 | 2021 | 22 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 11 | |
| 12 | 2023 | 7 | |
| 13 | 2025 | 6 | |
| 14 | 2024 | 4 | |
| 15 | 2026 | 3 | |
| 16 | 2021 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2026 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2026 | 0 |
About Teerath Kumar
Teerath Kumar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Information Systems, having authored 21 papers that have together received 665 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (3 papers), Music and Audio Processing (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Speech and Audio Processing (3 papers), Brain Tumor Detection and Classification (2 papers), Advanced Neural Network Applications (2 papers), AI in cancer detection (2 papers) and Image Enhancement Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (226 citations), Media Technology (43 citations), Neurology (34 citations), Artificial Intelligence (134 citations) and Industrial and Manufacturing Engineering (40 citations). Teerath Kumar has collaborated with scholars based in Ireland, Pakistan and China. Frequent co-authors include Arunabha M. Roy, Kislay Raj, Malika Bendechache, Rob Brennan, Alessandra Mileo, Bin Luo, Cheng Zhang, Takfarinas Saber, Irum Inayat and Yao Shen. Their work appears in journals such as IEEE Access, Applied Sciences, Artificial Intelligence Review, Big Data and Cognitive Computing and Drones.
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.