Jeremy S. Smith
- Analytical Chemistry top 2%
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- Video Surveillance and Tracking Methods 23
- Human Pose and Action Recognition 14
- Advanced Neural Network Applications 14
- Advanced Vision and Imaging 13
- Advanced Image and Video Retrieval Techniques 10
- Plant Science top 5%
- Human-Computer Interaction top 5%
- Media Technology top 5%
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- Welding Techniques and Residual Stresses 13
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- Underwater Vehicles and Communication Systems 10
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- Robotics and Sensor-Based Localization 8
- Journals
- SHILAP Revista de lepidopterología (1 paper)Analytical Chemistry (1 paper)Applied Energy (1 paper)
- Partner nations
- United KingdomChinaAustralia
In The Last Decade
Jeremy S. Smith
124 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 121
- Analytical Chemistry 257
- Computer Vision and Pattern Recognition 535
- Plant Science 519
- Human-Computer Interaction 58
- Media Technology 91
Countries citing papers authored by Jeremy S. Smith
This map shows the geographic impact of Jeremy S. Smith'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 Jeremy S. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeremy S. Smith more than expected).
Fields of papers citing papers by Jeremy S. Smith
This network shows the impact of papers produced by Jeremy S. Smith. 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 Jeremy S. Smith. The network helps show where Jeremy S. Smith may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeremy S. Smith, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 4 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 0 | |
| 14 | 2020 | 19 | |
| 15 | 2018 | 16 | |
| 16 | 2009 | 4 | |
| 17 | 2008 | 3 | |
| 18 | 1997 | 5 | |
| 19 | 1996 | 36 | |
| 20 | 1994 | 22 |
About Jeremy S. Smith
Jeremy S. Smith is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Ocean Engineering, having authored 135 papers that have together received 1.9k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (23 papers), Human Pose and Action Recognition (14 papers), Advanced Neural Network Applications (14 papers), Advanced Vision and Imaging (13 papers), Welding Techniques and Residual Stresses (13 papers), Underwater Vehicles and Communication Systems (10 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Robotics and Sensor-Based Localization (8 papers). The work is most often cited by research in Analytical Chemistry (257 citations), Computer Vision and Pattern Recognition (535 citations) and Plant Science (519 citations). Jeremy S. Smith has collaborated with scholars based in United Kingdom, China and Australia. Frequent co-authors include Abdigal Camargo, Shiyang Yan, Bailing Zhang, J. Lucas, Wenjin Lu, Qinghua Wu, Ka Lok Man, Zhigang Lu, Fangyu Wu and Stamatios Giannoukos. Their work appears in journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Applied Energy.
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.