Thomas Fevens
Impact in
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- Digital Imaging for Blood Diseases
- Medical Image Segmentation Techniques
- Oral Surgery top 5%
- Dental Radiography and Imaging
Papers in
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- Digital Imaging for Blood Diseases 10
- Medical Image Segmentation Techniques 9
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- Mobile Ad Hoc Networks 18
- Opportunistic and Delay-Tolerant Networks 13
- Energy Efficient Wireless Sensor Networks 7
- Co-authors
- Adam Krzyżak (16 shared papers)Alaa E. Abdallah (10 shared papers)Paweł Filipczuk (2 shared papers)Josef Opatrný (6 shared papers)Roman Monczak (1 shared paper)Shuo Li (8 shared papers)Łukasz Jeleń (4 shared papers)Jaroslav Opatrny (3 shared papers)
In The Last Decade
Thomas Fevens
63 papers receiving 857 citations
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 372
- Oral Surgery 97
- Computer Networks and Communications 283
- Biophysics 62
- Artificial Intelligence 325
Countries citing papers authored by Thomas Fevens
This map shows the geographic impact of Thomas Fevens'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 Thomas Fevens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Fevens more than expected).
Fields of papers citing papers by Thomas Fevens
This network shows the impact of papers produced by Thomas Fevens. 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 Thomas Fevens. The network helps show where Thomas Fevens may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Fevens, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 163 | |
| 2 | 2008 | 55 | |
| 3 | 2007 | 52 | |
| 4 | Position-Based Routing on 3-D Geometric Graphs in Mobile Ad Hoc Networks. | 2005 | 49 |
| 5 | 2006 | 41 | |
| 6 | 2006 | 37 | |
| 7 | 2007 | 34 | |
| 8 | 2006 | 29 | |
| 9 | Comparative study of shape, intensity and texture features and support vector machine for white blood cell classification | 2013 | 25 |
| 10 | 2006 | 25 | |
| 11 | 2007 | 22 | |
| 12 | 2016 | 21 | |
| 13 | 2009 | 21 | |
| 14 | 2011 | 21 | |
| 15 | 2019 | 19 | |
| 16 | 2007 | 16 | |
| 17 | 1999 | 16 | |
| 18 | 2006 | 15 | |
| 19 | 2008 | 15 | |
| 20 | 2006 | 14 |
About Thomas Fevens
Thomas Fevens is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering and Biomedical Engineering, having authored 69 papers that have together received 901 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (18 papers), Opportunistic and Delay-Tolerant Networks (13 papers), AI in cancer detection (12 papers), Digital Imaging for Blood Diseases (10 papers), Medical Image Segmentation Techniques (9 papers), Cell Image Analysis Techniques (7 papers), Energy Efficient Wireless Sensor Networks (7 papers) and Knee injuries and reconstruction techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (372 citations), Oral Surgery (97 citations), Computer Networks and Communications (283 citations), Biophysics (62 citations) and Artificial Intelligence (325 citations). Thomas Fevens has collaborated with scholars based in Canada, China and Poland. Frequent co-authors include Adam Krzyżak, Alaa E. Abdallah, Paweł Filipczuk, Josef Opatrný, Roman Monczak, Shuo Li, Łukasz Jeleń, Jaroslav Opatrny, Li Song and Chao Jin. Their work appears in journals such as Computer Communications, Sensors, Pattern Recognition, Arthroscopy Sports Medicine and Rehabilitation and IEEE Transactions on Circuits & Systems II Express Briefs.
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.