Samuel Chapman
Impact in
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- AI in cancer detection
Papers in
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- Metaheuristic Optimization Algorithms Research 2
- Evolutionary Algorithms and Applications 2
- Co-authors
- Irena SpasićXiangfeng DaiFrédéric AndrèsDukka B. KCQing WeiDaisuke KiharaIshita KhanChristoph Adami
- Journals
- PeerJ (1 paper)GigaScience (1 paper)BMC Bioinformatics (1 paper)ORCA Online Research @Cardiff (Cardiff University) (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Samuel Chapman
7 papers receiving 107 citations
Peers
Comparison fields: 5 of 51
- Health Informatics 5
- Artificial Intelligence 54
- Oncology 31
- Computer Vision and Pattern Recognition 18
- Radiology, Nuclear Medicine and Imaging 18
Countries citing papers authored by Samuel Chapman
This map shows the geographic impact of Samuel Chapman'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 Samuel Chapman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Chapman more than expected).
Fields of papers citing papers by Samuel Chapman
This network shows the impact of papers produced by Samuel Chapman. 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 Samuel Chapman. The network helps show where Samuel Chapman may publish in the future.
Co-authors
The 14 scholars most cited alongside Samuel Chapman, 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 | 2020 | 10 | |
| 2 | 2019 | 3 | |
| 3 | 2019 | 75 | |
| 4 | 2017 | 5 | |
| 5 | 2015 | 15 | |
| 6 | 2013 | 1 | |
| 7 | 2013 | 4 |
About Samuel Chapman
Samuel Chapman is a scholar working on Dermatology, Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 7 papers that have together received 113 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), Evolutionary Algorithms and Applications (2 papers), Bioinformatics and Genomic Networks (2 papers), Genomics and Phylogenetic Studies (2 papers), IoT and Edge/Fog Computing (1 paper), Neural dynamics and brain function (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Health Informatics (5 citations), Artificial Intelligence (54 citations), Oncology (31 citations), Computer Vision and Pattern Recognition (18 citations) and Radiology, Nuclear Medicine and Imaging (18 citations). Samuel Chapman has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Irena Spasić, Xiangfeng Dai, Frédéric Andrès, Dukka B. KC, Qing Wei, Daisuke Kihara, Ishita Khan, Christoph Adami, Evsey Kosman and David B. Knoester. Their work appears in journals such as PeerJ, GigaScience, BMC Bioinformatics and ORCA Online Research @Cardiff (Cardiff University).
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.