O.V. Ramana Murthy
- Computer Vision and Pattern Recognition top 2%
- Experimental and Cognitive Psychology top 5%
- Artificial Intelligence top 10%
- Cognitive Neuroscience top 10%
- Media Technology top 5%
- Co-authors
- Roland GoeckeM. HanmandluTom GedeonAbhinav DhallJyoti JoshiRamanathan SubramanianVamsi Krishna MadasuY.V. Venkatesh
- Topics
- Emotion and Mood Recognition (12 papers)Human Pose and Action Recognition (12 papers)Anomaly Detection Techniques and Applications (9 papers)
In The Last Decade
O.V. Ramana Murthy
56 papers receiving 860 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 499
- Experimental and Cognitive Psychology 369
- Artificial Intelligence 156
- Cognitive Neuroscience 148
- Media Technology 128
Countries citing papers authored by O.V. Ramana Murthy
This map shows the geographic impact of O.V. Ramana Murthy'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 O.V. Ramana Murthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites O.V. Ramana Murthy more than expected).
Fields of papers citing papers by O.V. Ramana Murthy
This network shows the impact of papers produced by O.V. Ramana Murthy. 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 O.V. Ramana Murthy. The network helps show where O.V. Ramana Murthy may publish in the future.
Co-authorship network of co-authors of O.V. Ramana Murthy
This figure shows the co-authorship network connecting the top 25 collaborators of O.V. Ramana Murthy. A scholar is included among the top collaborators of O.V. Ramana Murthy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with O.V. Ramana Murthy. O.V. Ramana Murthy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 22 | |
| 7 | 17 | |
| 8 | 4 | |
| 9 | 15 | |
| 10 | 2 | |
| 11 | 11 | |
| 12 | 16 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 15 | |
| 16 | A Study on the Effect of Outliers in Devanagari Character Recognition | 1 |
| 17 | 2 | |
| 18 | 74 | |
| 19 | 26 | |
| 20 | 2 |
About O.V. Ramana Murthy
O.V. Ramana Murthy is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Experimental and Cognitive Psychology, having authored 58 papers that have together received 929 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (12 papers), Human Pose and Action Recognition (12 papers) and Anomaly Detection Techniques and Applications (9 papers). The work is most often cited by research in Experimental and Cognitive Psychology (369 citations), Computer Vision and Pattern Recognition (499 citations) and Media Technology (128 citations). O.V. Ramana Murthy has collaborated with scholars based in India, Australia and Singapore. Frequent co-authors include Roland Goecke, M. Hanmandlu, Tom Gedeon, Abhinav Dhall, Jyoti Joshi, Ramanathan Subramanian, Vamsi Krishna Madasu, Y.V. Venkatesh, Ashraf A. Kassim and S. Veni. Their work appears in journals such as IEEE Access, Pattern Recognition and Applied Soft Computing.
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.