V. Manohar
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Video Analysis and Summarization
- Advanced Neural Network Applications
- Media Technology top 10%
Papers in
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- Video Surveillance and Tracking Methods 2
- Advanced Image and Video Retrieval Techniques 2
- Face and Expression Recognition 1
- Face recognition and analysis 1
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- IoT Networks and Protocols 1
- Optical Wireless Communication Technologies 1
- Co-authors
- John S. Garofolo (1 shared paper)Matthew Boonstra (1 shared paper)Rangachar Kasturi (1 shared paper)Viktoria Korzhova (1 shared paper)Jing Zhang (1 shared paper)Reid Christian Bowers (1 shared paper)D. Goldgof (1 shared paper)Padmanabhan Soundararajan (1 shared paper)
- Journals
- Evolutionary Intelligence (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)International Research Journal of Multidisciplinary Technovation (1 paper)2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (1 paper)
- Partner nations
- IndiaChinaUnited States
In The Last Decade
V. Manohar
5 papers receiving 331 citations
Peers
Comparison fields: 5 of 44
- Computer Vision and Pattern Recognition 318
- Media Technology 31
- Artificial Intelligence 67
- Safety, Risk, Reliability and Quality 19
- Automotive Engineering 24
Countries citing papers authored by V. Manohar
This map shows the geographic impact of V. Manohar'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 V. Manohar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Manohar more than expected).
Fields of papers citing papers by V. Manohar
This network shows the impact of papers produced by V. Manohar. 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 V. Manohar. The network helps show where V. Manohar may publish in the future.
Co-authors
The 13 scholars most cited alongside V. Manohar, 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 | 2009 | 344 | |
| 2 | 2022 | 4 | |
| 3 | 2019 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2021 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2022 | 0 |
About V. Manohar
V. Manohar is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications, Media Technology and Computer Science Applications, having authored 8 papers that have together received 353 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), IoT Networks and Protocols (1 paper), Online Learning and Analytics (1 paper), Face and Expression Recognition (1 paper), Image Processing Techniques and Applications (1 paper), Face recognition and analysis (1 paper) and Optical Wireless Communication Technologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (318 citations), Media Technology (31 citations), Artificial Intelligence (67 citations), Safety, Risk, Reliability and Quality (19 citations) and Automotive Engineering (24 citations). V. Manohar has collaborated with scholars based in India, China and United States. Frequent co-authors include John S. Garofolo, Matthew Boonstra, Rangachar Kasturi, Viktoria Korzhova, Jing Zhang, Reid Christian Bowers, D. Goldgof, Padmanabhan Soundararajan, T. Satya Savithri and S. Geetha. Their work appears in journals such as Evolutionary Intelligence, IEEE Transactions on Pattern Analysis and Machine Intelligence, International Research Journal of Multidisciplinary Technovation and 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS).
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.