Eric Rigall
Impact in
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- Image Enhancement Techniques
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Oceanography top 10%
- Underwater Acoustics Research
- Oceanographic and Atmospheric Processes
Papers in
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- Advanced Neural Network Applications 5
- Advanced Vision and Imaging 5
- Advanced Image and Video Retrieval Techniques 4
- Human Pose and Action Recognition 3
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- Robotics and Sensor-Based Localization 7
- Co-authors
- Junyu Dong (26 shared papers)Feng Gao (3 shared papers)Bo He (2 shared papers)Qi Wang (2 shared papers)Kaige Li (2 shared papers)Lin Qi (4 shared papers)Tianhong Yan (1 shared paper)Wenbo Zhu (1 shared paper)
- Journals
- IEEE Transactions on Instrumentation and Measurement (6 papers)IEEE Transactions on Circuits and Systems for Video Technology (6 papers)Sensors (2 papers)IEEE Transactions on Geoscience and Remote Sensing (2 papers)Pattern Analysis and Applications (1 paper)
- Partner nations
- ChinaUnited KingdomMacao
In The Last Decade
Eric Rigall
27 papers receiving 334 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 157
- Oceanography 92
- Human-Computer Interaction 22
- Ocean Engineering 53
- Geology 14
Countries citing papers authored by Eric Rigall
This map shows the geographic impact of Eric Rigall'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 Eric Rigall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Rigall more than expected).
Fields of papers citing papers by Eric Rigall
This network shows the impact of papers produced by Eric Rigall. 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 Eric Rigall. The network helps show where Eric Rigall may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Rigall, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 63 | |
| 2 | 2021 | 43 | |
| 3 | 2021 | 37 | |
| 4 | 2020 | 29 | |
| 5 | 2023 | 21 | |
| 6 | 2019 | 19 | |
| 7 | 2022 | 17 | |
| 8 | 2021 | 17 | |
| 9 | 2022 | 12 | |
| 10 | 2021 | 11 | |
| 11 | 2023 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2020 | 6 | |
| 15 | 2021 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2022 | 3 |
About Eric Rigall
Eric Rigall is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Oceanography, Artificial Intelligence and Ocean Engineering, having authored 30 papers that have together received 337 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (7 papers), Advanced Neural Network Applications (5 papers), Advanced Vision and Imaging (5 papers), Oceanographic and Atmospheric Processes (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Underwater Vehicles and Communication Systems (4 papers), Human Pose and Action Recognition (3 papers) and Underwater Acoustics Research (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (157 citations), Oceanography (92 citations), Human-Computer Interaction (22 citations), Ocean Engineering (53 citations) and Geology (14 citations). Eric Rigall has collaborated with scholars based in China, United Kingdom and Macao. Frequent co-authors include Junyu Dong, Feng Gao, Bo He, Qi Wang, Kaige Li, Lin Qi, Tianhong Yan, Wenbo Zhu, Xueen Chen and Sheng Chen. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Circuits and Systems for Video Technology, Sensors, IEEE Transactions on Geoscience and Remote Sensing and Pattern Analysis and Applications.
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.