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
- Media Technology top 1%
Papers in
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- Human Pose and Action Recognition 27
- Video Surveillance and Tracking Methods 19
- Advanced Neural Network Applications 18
- Advanced Image and Video Retrieval Techniques 13
- Face and Expression Recognition 12
- Multimodal Machine Learning Applications 10
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- Anomaly Detection Techniques and Applications 24
- Co-authors
- Dinesh Singh (11 shared papers)Debaditya Roy (20 shared papers)Earnest Paul Ijjina (8 shared papers)Chalavadi Vishnu (15 shared papers)Linga Reddy Cenkeramaddi (10 shared papers)Rajeshreddy Datla (11 shared papers)Vishnu Chalavadi (11 shared papers)Nazil Perveen (8 shared papers)
In The Last Decade
C. Krishna Mohan
120 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 149
- Computer Vision and Pattern Recognition 1.2k
- Media Technology 280
- Artificial Intelligence 968
- Business and International Management 46
- Automotive Engineering 225
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-authors
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
Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 143 | |
| 2 | 2016 | 107 | |
| 3 | 2022 | 106 | |
| 4 | 2017 | 90 | |
| 5 | 2020 | 88 | |
| 6 | 2017 | 85 | |
| 7 | 2023 | 83 | |
| 8 | 2023 | 82 | |
| 9 | 2015 | 67 | |
| 10 | 2023 | 66 | |
| 11 | 2021 | 63 | |
| 12 | 2020 | 59 | |
| 13 | 2015 | 56 | |
| 14 | 2022 | 56 | |
| 15 | 2020 | 53 | |
| 16 | 2019 | 53 | |
| 17 | 2018 | 51 | |
| 18 | 2023 | 48 | |
| 19 | 2022 | 48 | |
| 20 | 2023 | 46 |
About C. Krishna Mohan
C. Krishna Mohan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Media Technology and Signal Processing, having authored 125 papers that have together received 3.1k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (27 papers), Anomaly Detection Techniques and Applications (24 papers), Video Surveillance and Tracking Methods (19 papers), Advanced Neural Network Applications (18 papers), Advanced Image and Video Retrieval Techniques (13 papers), Face and Expression Recognition (12 papers), Gait Recognition and Analysis (11 papers) and Multimodal Machine Learning Applications (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Media Technology (280 citations), Artificial Intelligence (968 citations), Business and International Management (46 citations) and Automotive Engineering (225 citations). C. Krishna Mohan has collaborated with scholars based in India, Norway and Singapore. Frequent co-authors include Dinesh Singh, Debaditya Roy, Earnest Paul Ijjina, Chalavadi Vishnu, Linga Reddy Cenkeramaddi, Rajeshreddy Datla, Vishnu Chalavadi, Nazil Perveen, Jeripothula Prudviraj and Sobhan Babu. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Image Processing, Neurocomputing, IEEE Transactions on Intelligent Transportation Systems and IEEE Robotics and Automation 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.