K Veropoulos
Impact in
- Media Technology top 2%
- Image Processing Techniques and Applications
- Biophysics top 2%
- Cell Image Analysis Techniques
Papers in
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- Digital Imaging for Blood Diseases 2
- Advanced Image and Video Retrieval Techniques 1
- Image Retrieval and Classification Techniques 1
- Medical Image Segmentation Techniques 1
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- Tuberculosis Research and Epidemiology 2
- Co-authors
- Nello Cristianini (2 shared papers)I C G Campbell (2 shared papers)Colin Campbell (2 shared papers)Ronald Dendere (1 shared paper)Sriram Krishnan (1 shared paper)Andrew Whitelaw (1 shared paper)Tania S. Douglas (1 shared paper)Rethabile Khutlang (1 shared paper)
- Journals
- PubMed (1 paper)Bristol Research (University of Bristol) (3 papers)IEEE Transactions on Information Technology in Biomedicine (1 paper)
- Partner nations
- United KingdomSouth Africa
In The Last Decade
K Veropoulos
6 papers receiving 677 citations
Peers
Comparison fields: 5 of 102
- Media Technology 181
- Biophysics 110
- Artificial Intelligence 351
- Computer Vision and Pattern Recognition 215
- Health Information Management 22
Countries citing papers authored by K Veropoulos
This map shows the geographic impact of K Veropoulos'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 K Veropoulos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Veropoulos more than expected).
Fields of papers citing papers by K Veropoulos
This network shows the impact of papers produced by K Veropoulos. 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 K Veropoulos. The network helps show where K Veropoulos may publish in the future.
Co-authors
The 13 scholars most cited alongside K Veropoulos, 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 | Controlling the Sensitivity of Support Vector Machines | 1999 | 488 |
| 2 | 2009 | 97 | |
| 3 | Automated identification of tubercle bacilli in sputum. A preliminary investigation. | 1999 | 51 |
| 4 | 1998 | 45 | |
| 5 | The Application of Support Vector Machines to Medical decision Support: A Case Study | 1999 | 30 |
| 6 | 2007 | 7 |
About K Veropoulos
K Veropoulos is a scholar working on Computer Vision and Pattern Recognition, Infectious Diseases, Media Technology, Surgery and Health Information Management, having authored 6 papers that have together received 718 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (2 papers), Digital Imaging for Blood Diseases (2 papers), Image Processing Techniques and Applications (2 papers), Artificial Intelligence in Healthcare (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Mycobacterium research and diagnosis (1 paper), Image Retrieval and Classification Techniques (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Media Technology (181 citations), Biophysics (110 citations), Artificial Intelligence (351 citations), Computer Vision and Pattern Recognition (215 citations) and Health Information Management (22 citations). K Veropoulos has collaborated with scholars based in United Kingdom and South Africa. Frequent co-authors include Nello Cristianini, I C G Campbell, Colin Campbell, Ronald Dendere, Sriram Krishnan, Andrew Whitelaw, Tania S. Douglas, Rethabile Khutlang, Joseph Simpson and Belinda Knight. Their work appears in journals such as PubMed, Bristol Research (University of Bristol) and IEEE Transactions on Information Technology in Biomedicine.
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.