Minta Thomas
Impact in
-
- Chaos-based Image/Signal Encryption
- Face and Expression Recognition
-
- Cryptographic Implementations and Security
Papers in
- Oncology 4
- Colorectal Cancer Screening and Detection 4
-
- Machine Learning in Bioinformatics 3
- Gene expression and cancer classification 3
- Co-authors
- Kris De Brabanter (2 shared papers)Bart De Moor (1 shared paper)Bart De Moor (2 shared papers)Johan A. K. Suykens (1 shared paper)Yu‐Ru Su (1 shared paper)Ulrike Peters (4 shared papers)Jeffrey K. Lee (1 shared paper)Yi Li (1 shared paper)
- Journals
- BMC Bioinformatics (2 papers)Clinical and Translational Gastroenterology (1 paper)Best Practice & Research Clinical Gastroenterology (1 paper)Genetic Epidemiology (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)
- Partner nations
- United StatesBelgiumNetherlands
In The Last Decade
Minta Thomas
6 papers receiving 44 citations
Peers
Comparison fields: 5 of 37
- Computer Vision and Pattern Recognition 10
- Artificial Intelligence 15
- Oncology 11
- Computer Networks and Communications 8
- Pathology and Forensic Medicine 6
Countries citing papers authored by Minta Thomas
This map shows the geographic impact of Minta Thomas'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 Minta Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minta Thomas more than expected).
Fields of papers citing papers by Minta Thomas
This network shows the impact of papers produced by Minta Thomas. 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 Minta Thomas. The network helps show where Minta Thomas may publish in the future.
Co-authors
The 25 scholars most cited alongside Minta Thomas, 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 | 2014 | 19 | |
| 2 | 2015 | 12 | |
| 3 | 2023 | 11 | |
| 4 | 2014 | 7 | |
| 5 | 2024 | 2 | |
| 6 | 2014 | 1 | |
| 7 | 2025 | 0 | |
| 8 | 2024 | 0 |
About Minta Thomas
Minta Thomas is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 52 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (4 papers), Machine Learning in Bioinformatics (3 papers), Genetic factors in colorectal cancer (3 papers), Gene expression and cancer classification (3 papers), Gastric Cancer Management and Outcomes (2 papers), Chaos-based Image/Signal Encryption (1 paper), Genetic Associations and Epidemiology (1 paper) and Face and Expression Recognition (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (10 citations), Artificial Intelligence (15 citations), Oncology (11 citations), Computer Networks and Communications (8 citations) and Pathology and Forensic Medicine (6 citations). Minta Thomas has collaborated with scholars based in United States, Belgium and Netherlands. Frequent co-authors include Kris De Brabanter, Bart De Moor, Bart De Moor, Johan A. K. Suykens, Yu‐Ru Su, Ulrike Peters, Jeffrey K. Lee, Yi Li, Douglas A. Corley and Lori C. Sakoda. Their work appears in journals such as BMC Bioinformatics, Clinical and Translational Gastroenterology, Best Practice & Research Clinical Gastroenterology, Genetic Epidemiology and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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.