Deepak Krishnamoorthy
Impact in
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
Papers in
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- Anomaly Detection Techniques and Applications 10
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- Video Surveillance and Tracking Methods 4
- Human Pose and Action Recognition 3
- Advanced Neural Network Applications 1
- Co-authors
- S. Chandrakala (10 shared papers)Chalavadi Krishna Mohan (1 shared paper)G. Revathy (1 shared paper)Keisuke Nakamura (1 shared paper)Johel Mitéran (1 shared paper)Yannick Benezeth (1 shared paper)Randy Gómez (1 shared paper)Muhammad Faheem (1 shared paper)
In The Last Decade
Deepak Krishnamoorthy
19 papers receiving 280 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 173
- Computer Vision and Pattern Recognition 89
- Industrial and Manufacturing Engineering 5
- Information Systems 13
- Media Technology 4
Countries citing papers authored by Deepak Krishnamoorthy
This map shows the geographic impact of Deepak Krishnamoorthy'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 Deepak Krishnamoorthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Krishnamoorthy more than expected).
Fields of papers citing papers by Deepak Krishnamoorthy
This network shows the impact of papers produced by Deepak Krishnamoorthy. 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 Deepak Krishnamoorthy. The network helps show where Deepak Krishnamoorthy may publish in the future.
Co-authors
The 10 scholars most cited alongside Deepak Krishnamoorthy, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 95 | |
| 2 | 2022 | 37 | |
| 3 | 2020 | 33 | |
| 4 | 2020 | 29 | |
| 5 | 2020 | 26 | |
| 6 | 2020 | 11 | |
| 7 | 2021 | 11 | |
| 8 | 2024 | 11 | |
| 9 | 2021 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2020 | 6 | |
| 12 | 2014 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2024 | 2 | |
| 15 | 2021 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | Use of Social Media on Employee Job Performance | 2020 | 0 |
About Deepak Krishnamoorthy
Deepak Krishnamoorthy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Demography, having authored 23 papers that have together received 294 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (10 papers), Video Surveillance and Tracking Methods (4 papers), Spam and Phishing Detection (3 papers), Human Pose and Action Recognition (3 papers), Non-Invasive Vital Sign Monitoring (1 paper), Advanced Neural Network Applications (1 paper), Music and Audio Processing (1 paper) and Advanced Malware Detection Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (173 citations), Computer Vision and Pattern Recognition (89 citations), Industrial and Manufacturing Engineering (5 citations), Information Systems (13 citations) and Media Technology (4 citations). Deepak Krishnamoorthy has collaborated with scholars based in India, Finland and Japan. Frequent co-authors include S. Chandrakala, Chalavadi Krishna Mohan, G. Revathy, Keisuke Nakamura, Johel Mitéran, Yannick Benezeth, Randy Gómez, Muhammad Faheem, B. Premjith and V. Sowmya. Their work appears in journals such as Expert Systems with Applications, ICT Express, Artificial Intelligence Review, IEEE Access and Neural Processing Letters.
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.