C. Krishna Mohan
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 1%
- Anomaly Detection Techniques and Applications
Papers in
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- Human Pose and Action Recognition 29
- Advanced Neural Network Applications 20
- Video Surveillance and Tracking Methods 19
- Advanced Image and Video Retrieval Techniques 13
- Face and Expression Recognition 12
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- Anomaly Detection Techniques and Applications 26
- Privacy-Preserving Technologies in Data 10
- Co-authors
- Earnest Paul IjjinaDinesh SinghDebaditya RoyChalavadi VishnuVishnu ChalavadiRajeshreddy DatlaLinga Reddy CenkeramaddiNazil Perveen
In The Last Decade
C. Krishna Mohan
125 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 152
- Computer Vision and Pattern Recognition 1.3k
- Artificial Intelligence 1.1k
- Media Technology 281
- Business and International Management 47
- Human-Computer Interaction 107
Countries citing papers authored by C. Krishna Mohan
This map shows the geographic impact of C. Krishna Mohan'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 C. Krishna Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Krishna Mohan more than expected).
Fields of papers citing papers by C. Krishna Mohan
This network shows the impact of papers produced by C. Krishna Mohan. 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 C. Krishna Mohan. The network helps show where C. Krishna Mohan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside C. Krishna Mohan, 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 | 2025 | 3 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 19 | |
| 6 | 2023 | 64 | |
| 7 | 2023 | 17 | |
| 8 | 2023 | 32 | |
| 9 | 2023 | 43 | |
| 10 | 2023 | 32 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 36 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 27 | |
| 15 | 2022 | 19 | |
| 16 | 2022 | 0 | |
| 17 | 2021 | 8 | |
| 18 | 2020 | 49 | |
| 19 | Fast-BoW: Scaling Bag-of-Visual-Words Generation | 2018 | 2 |
| 20 | 2014 | 22 |
About C. Krishna Mohan
C. Krishna Mohan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Signal Processing and Safety, Risk, Reliability and Quality, having authored 131 papers that have together received 3.3k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (29 papers), Anomaly Detection Techniques and Applications (26 papers), Advanced Neural Network Applications (20 papers), Video Surveillance and Tracking Methods (19 papers), Advanced Image and Video Retrieval Techniques (13 papers), Face and Expression Recognition (12 papers), Gait Recognition and Analysis (11 papers) and Privacy-Preserving Technologies in Data (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Artificial Intelligence (1.1k citations), Media Technology (281 citations), Business and International Management (47 citations) and Human-Computer Interaction (107 citations). C. Krishna Mohan has collaborated with scholars based in India, Norway and Singapore. Frequent co-authors include Earnest Paul Ijjina, Dinesh Singh, Debaditya Roy, Chalavadi Vishnu, Vishnu Chalavadi, Rajeshreddy Datla, Linga Reddy Cenkeramaddi, Nazil Perveen, Jeripothula Prudviraj and Sobhan Babu. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Image Processing, IEEE Transactions on Intelligent Transportation Systems, Neurocomputing and IEEE Transactions on Multimedia.
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.