Paul Watta
Impact in
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- Video Surveillance and Tracking Methods
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 5%
- Neural Networks and Applications
Papers in
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- Neural Networks and Applications 19
- Machine Learning and ELM 6
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- Face and Expression Recognition 16
- Video Surveillance and Tracking Methods 7
- Advanced Image and Video Retrieval Techniques 5
- Face recognition and analysis 4
- Co-authors
- M.H. Hassoun (29 shared papers)Sridhar Lakshmanan (6 shared papers)Yi Lu Murphey (9 shared papers)Xiaoyan Mu (10 shared papers)Guangzhi Qu (3 shared papers)Ximu Zhang (1 shared paper)Amaury Lendasse (2 shared papers)Guang-Bin Huang (2 shared papers)
- Journals
- Neural Processing Letters (3 papers)SAE technical papers on CD-ROM/SAE technical paper series (1 paper)Multimedia Tools and Applications (1 paper)IEEE Transactions on Vehicular Technology (1 paper)IEEE Transactions on Intelligent Vehicles (1 paper)
- Partner nations
- United StatesJapanSingapore
In The Last Decade
Paul Watta
49 papers receiving 456 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 189
- Artificial Intelligence 215
- Automotive Engineering 63
- Human-Computer Interaction 22
- Media Technology 32
Countries citing papers authored by Paul Watta
This map shows the geographic impact of Paul Watta'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 Paul Watta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Watta more than expected).
Fields of papers citing papers by Paul Watta
This network shows the impact of papers produced by Paul Watta. 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 Paul Watta. The network helps show where Paul Watta may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Watta, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 66 | |
| 2 | 2018 | 41 | |
| 3 | 2001 | 41 | |
| 4 | 1997 | 33 | |
| 5 | 2020 | 29 | |
| 6 | 2007 | 21 | |
| 7 | 1996 | 19 | |
| 8 | 2022 | 18 | |
| 9 | 2017 | 14 | |
| 10 | 2006 | 14 | |
| 11 | 2007 | 13 | |
| 12 | 2015 | 12 | |
| 13 | 2002 | 12 | |
| 14 | 2019 | 11 | |
| 15 | 2009 | 11 | |
| 16 | 2017 | 11 | |
| 17 | 2002 | 10 | |
| 18 | 2002 | 8 | |
| 19 | 2004 | 8 | |
| 20 | 2001 | 7 |
About Paul Watta
Paul Watta is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Media Technology and Automotive Engineering, having authored 51 papers that have together received 485 indexed citations. Recurring topics across this work include Neural Networks and Applications (19 papers), Face and Expression Recognition (16 papers), Advanced Memory and Neural Computing (11 papers), Video Surveillance and Tracking Methods (7 papers), Machine Learning and ELM (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Autonomous Vehicle Technology and Safety (4 papers) and Face recognition and analysis (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (189 citations), Artificial Intelligence (215 citations), Automotive Engineering (63 citations), Human-Computer Interaction (22 citations) and Media Technology (32 citations). Paul Watta has collaborated with scholars based in United States, Japan and Singapore. Frequent co-authors include M.H. Hassoun, Sridhar Lakshmanan, Yi Lu Murphey, Xiaoyan Mu, Guangzhi Qu, Ximu Zhang, Amaury Lendasse, Guang-Bin Huang, Jucheng Yang and Ilya Kolmanovsky. Their work appears in journals such as Neural Processing Letters, SAE technical papers on CD-ROM/SAE technical paper series, Multimedia Tools and Applications, IEEE Transactions on Vehicular Technology and IEEE Transactions on Intelligent Vehicles.
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.