Venugopal Govindaraju
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- Handwritten Text Recognition Techniques 3
- Face recognition and analysis 2
- Image and Object Detection Techniques 2
- Media Technology top 5%
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- Machine Learning in Healthcare 2
- Bayesian Modeling and Causal Inference 1
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- Big Data and Business Intelligence 1
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- Speech and Audio Processing 1
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- Face Recognition and Perception 1
- Co-authors
- Sargur N. SrihariSrirangaraj SetlurCalyampudi Radhakrishna RaoMark G. FrankSergey TulyakovMurali RamanathanIfeoma NwoguSandra Frank
- Journals
- International Journal on Document Analysis and Recognition (IJDAR) (1 paper)Pattern Recognition Letters (1 paper)British Journal of Clinical Pharmacology (1 paper)
- Partner nations
- United States
In The Last Decade
Venugopal Govindaraju
15 papers receiving 280 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 237
- Media Technology 65
- Health Informatics 4
- Human-Computer Interaction 13
- Experimental and Cognitive Psychology 29
Countries citing papers authored by Venugopal Govindaraju
This map shows the geographic impact of Venugopal Govindaraju'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 Venugopal Govindaraju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Venugopal Govindaraju more than expected).
Fields of papers citing papers by Venugopal Govindaraju
This network shows the impact of papers produced by Venugopal Govindaraju. 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 Venugopal Govindaraju. The network helps show where Venugopal Govindaraju may publish in the future.
Co-authorship network
The 9 scholars most cited alongside Venugopal Govindaraju, 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 | 2022 | 11 | |
| 2 | 2022 | 9 | |
| 3 | 2021 | 2 | |
| 4 | 2019 | 13 | |
| 5 | Big data analytics | 2015 | 3 |
| 6 | 2014 | 6 | |
| 7 | Machine learning : theory and applications | 2013 | 13 |
| 8 | Enhancing cyber security through the use of synthetic handwritten captchas | 2010 | 1 |
| 9 | 2009 | 23 | |
| 10 | 2007 | 26 | |
| 11 | 2002 | 2 | |
| 12 | Organizing multiple experts for efficient pattern recognition | 2000 | 2 |
| 13 | 1994 | 9 | |
| 14 | A computational theory for locating human faces in photographs | 1992 | 3 |
| 15 | 1989 | 184 |
About Venugopal Govindaraju
Venugopal Govindaraju is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Human-Computer Interaction, Artificial Intelligence and Statistics and Probability, having authored 15 papers that have together received 307 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (3 papers), Machine Learning in Healthcare (2 papers), Face recognition and analysis (2 papers), Image and Object Detection Techniques (2 papers), Big Data and Business Intelligence (1 paper), Speech and Audio Processing (1 paper), Face Recognition and Perception (1 paper) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (237 citations), Media Technology (65 citations), Health Informatics (4 citations), Human-Computer Interaction (13 citations) and Experimental and Cognitive Psychology (29 citations). Venugopal Govindaraju has collaborated with scholars based in United States. Frequent co-authors include Sargur N. Srihari, Srirangaraj Setlur, Calyampudi Radhakrishna Rao, Mark G. Frank, Sergey Tulyakov, Murali Ramanathan, Ifeoma Nwogu, Sandra Frank and Achint Thomas. Their work appears in journals such as International Journal on Document Analysis and Recognition (IJDAR), Pattern Recognition Letters, British Journal of Clinical Pharmacology, Machine Vision and Applications and Journal of Pharmacokinetics and Pharmacodynamics.
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.