Aaron S. Jackson
Impact in
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- Face recognition and analysis
- Generative Adversarial Networks and Image Synthesis
- Face and Expression Recognition
- Plant Science top 10%
- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
Papers in
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- Medical Image Segmentation Techniques 1
- Advanced Vision and Imaging 1
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- Imbalanced Data Classification Techniques 1
- AI in cancer detection 1
- Co-authors
- Adrian Bulat (2 shared papers)Georgios Tzimiropoulos (2 shared papers)Vasileios Argyriou (1 shared paper)Michael P. Pound (2 shared papers)Andrew P. French (2 shared papers)Erik H. Murchie (1 shared paper)Jonathan A. Atkinson (1 shared paper)Darren M. Wells (1 shared paper)
- Journals
- Organic & Biomolecular Chemistry (1 paper)Pattern Recognition (1 paper)Plant Phenomics (1 paper)GigaScience (1 paper)Repository@Nottingham (University of Nottingham) (1 paper)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Aaron S. Jackson
7 papers receiving 518 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 232
- Plant Science 201
- Dermatology 39
- Analytical Chemistry 39
- Computational Mechanics 83
Countries citing papers authored by Aaron S. Jackson
This map shows the geographic impact of Aaron S. Jackson'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 Aaron S. Jackson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron S. Jackson more than expected).
Fields of papers citing papers by Aaron S. Jackson
This network shows the impact of papers produced by Aaron S. Jackson. 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 Aaron S. Jackson. The network helps show where Aaron S. Jackson may publish in the future.
Co-authors
The 24 scholars most cited alongside Aaron S. Jackson, 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 | 2017 | 251 | |
| 2 | 2017 | 246 | |
| 3 | 2021 | 14 | |
| 4 | 2021 | 7 | |
| 5 | 2016 | 7 | |
| 6 | 2024 | 1 | |
| 7 | Probabilistic Multi-Modality Image Segmentation with Partial Voluming | 2002 | 1 |
About Aaron S. Jackson
Aaron S. Jackson is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Plant Science, Molecular Biology and Neurology, having authored 7 papers that have together received 527 indexed citations. Recurring topics across this work include Smart Agriculture and AI (2 papers), Imbalanced Data Classification Techniques (1 paper), AI in cancer detection (1 paper), Remote Sensing in Agriculture (1 paper), Enzyme Catalysis and Immobilization (1 paper), Medical Image Segmentation Techniques (1 paper), Advanced Vision and Imaging (1 paper) and Remote Sensing and LiDAR Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (232 citations), Plant Science (201 citations), Dermatology (39 citations), Analytical Chemistry (39 citations) and Computational Mechanics (83 citations). Aaron S. Jackson has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Adrian Bulat, Georgios Tzimiropoulos, Vasileios Argyriou, Michael P. Pound, Andrew P. French, Erik H. Murchie, Jonathan A. Atkinson, Darren M. Wells, Alexandra J. Townsend and Marcus Griffiths. Their work appears in journals such as Organic & Biomolecular Chemistry, Pattern Recognition, Plant Phenomics, GigaScience and Repository@Nottingham (University of Nottingham).
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.