Lewis D. Griffin
- Computational Mathematics top 5%
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- Image Retrieval and Classification Techniques 22
- Medical Image Segmentation Techniques 20
- Advanced Image and Video Retrieval Techniques 10
- Biophysics top 2%
- Cell Image Analysis Techniques 12
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- Medical Imaging Techniques and Applications 6
- Cognitive Neuroscience top 5%
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- Advanced X-ray and CT Imaging 8
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- Color perception and design 8
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- Multisensory perception and integration 6
- Co-authors
- Andrew J. NewellNicolas JaccardThomas W. RogersDavid J. HawkesMartin LillholmWilliam R. CrumDavid HillA. C. F. Colchester
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Physical Review Letters (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United KingdomUnited StatesDenmark
In The Last Decade
Lewis D. Griffin
99 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 183
- Computational Mathematics 26
- Computer Vision and Pattern Recognition 866
- Biophysics 181
- Radiology, Nuclear Medicine and Imaging 559
- Cognitive Neuroscience 351
Countries citing papers authored by Lewis D. Griffin
This map shows the geographic impact of Lewis D. Griffin'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 Lewis D. Griffin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lewis D. Griffin more than expected).
Fields of papers citing papers by Lewis D. Griffin
This network shows the impact of papers produced by Lewis D. Griffin. 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 Lewis D. Griffin. The network helps show where Lewis D. Griffin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lewis D. Griffin, 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 | 2023 | 8 | |
| 2 | 2023 | 4 | |
| 3 | 2022 | 0 | |
| 4 | 2022 | 10 | |
| 5 | 2022 | 37 | |
| 6 | 2020 | 7 | |
| 7 | 2020 | 6 | |
| 8 | 2020 | 36 | |
| 9 | 2019 | 18 | |
| 10 | 2018 | 3 | |
| 11 | 2017 | 15 | |
| 12 | 2016 | 9 | |
| 13 | 2014 | 7 | |
| 14 | 2011 | 28 | |
| 15 | 2009 | 37 | |
| 16 | 2007 | 2 | |
| 17 | 2007 | 35 | |
| 18 | 2003 | 152 | |
| 19 | 2002 | 11 | |
| 20 | 1994 | 68 |
About Lewis D. Griffin
Lewis D. Griffin is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Computational Mathematics, having authored 102 papers that have together received 2.6k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (22 papers), Medical Image Segmentation Techniques (20 papers), Cell Image Analysis Techniques (12 papers), Advanced Image and Video Retrieval Techniques (10 papers), Advanced X-ray and CT Imaging (8 papers), Color perception and design (8 papers), Medical Imaging Techniques and Applications (6 papers) and Multisensory perception and integration (6 papers). The work is most often cited by research in Computational Mathematics (26 citations), Computer Vision and Pattern Recognition (866 citations) and Biophysics (181 citations). Lewis D. Griffin has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Andrew J. Newell, Nicolas Jaccard, Thomas W. Rogers, David J. Hawkes, Martin Lillholm, William R. Crum, David Hill, A. C. F. Colchester, Nicolas Szita and Jerone T. A. Andrews. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Biological Chemistry.
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.