Arjun Karpur
Impact in
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- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Human Pose and Action Recognition
- Advanced Vision and Imaging
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- Nutritional Studies and Diet
Papers in
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- Advanced Image and Video Retrieval Techniques 4
- Human Pose and Action Recognition 2
- Multimodal Machine Learning Applications 2
- Image Retrieval and Classification Techniques 1
- Advanced Vision and Imaging 1
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- Domain Adaptation and Few-Shot Learning 1
- Co-authors
- Tobias Weyand (1 shared paper)Liviu Panait (1 shared paper)Bingyi Cao (2 shared papers)Fangting Xia (1 shared paper)Jack Sim (1 shared paper)André Araujo (3 shared papers)Qixing Huang (2 shared papers)Hanwen Jiang (1 shared paper)
- Journals
- arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesChinaBrazil
In The Last Decade
Arjun Karpur
5 papers receiving 131 citations
Peers
Comparison fields: 5 of 38
- Computer Vision and Pattern Recognition 54
- Public Health, Environmental and Occupational Health 40
- Analytical Chemistry 8
- Media Technology 7
- Health Informatics 1
Countries citing papers authored by Arjun Karpur
This map shows the geographic impact of Arjun Karpur'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 Arjun Karpur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjun Karpur more than expected).
Fields of papers citing papers by Arjun Karpur
This network shows the impact of papers produced by Arjun Karpur. 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 Arjun Karpur. The network helps show where Arjun Karpur may publish in the future.
Co-authors
The 14 scholars most cited alongside Arjun Karpur, 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 | 2021 | 73 | |
| 2 | 2024 | 30 | |
| 3 | 2023 | 22 | |
| 4 | Unsupervised Domain Adaptation for 3D Keypoint Prediction from a Single Depth Scan. | 2017 | 5 |
| 5 | 2024 | 3 |
About Arjun Karpur
Arjun Karpur is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Public Health, Environmental and Occupational Health, Aerospace Engineering and Biomedical Engineering, having authored 5 papers that have together received 133 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (4 papers), Human Pose and Action Recognition (2 papers), Multimodal Machine Learning Applications (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Robotics and Sensor-Based Localization (1 paper), Advanced Chemical Sensor Technologies (1 paper), Image Retrieval and Classification Techniques (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (54 citations), Public Health, Environmental and Occupational Health (40 citations), Analytical Chemistry (8 citations), Media Technology (7 citations) and Health Informatics (1 citation). Arjun Karpur has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Tobias Weyand, Liviu Panait, Bingyi Cao, Fangting Xia, Jack Sim, André Araujo, Qixing Huang, Hanwen Jiang, Kaifeng Chen and Qinghua Cui. Their work appears in journals such as 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.