Andreas Vécsei
Impact in
- Gastroenterology top 0.5%
- Celiac Disease Research and Management
- Gastrointestinal Bleeding Diagnosis and Treatment
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- Image Retrieval and Classification Techniques
Papers in
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- Celiac Disease Research and Management 31
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- Image Retrieval and Classification Techniques 48
- Advanced Neural Network Applications 7
- Co-authors
- Andreas Uhl (67 shared papers)Michael Liedlgruber (19 shared papers)Michael Häfner (21 shared papers)Sebastian Hegenbart (16 shared papers)Friedrich Wrba (19 shared papers)Georg Wimmer (13 shared papers)Alfred Gangl (15 shared papers)Michael Gadermayr (21 shared papers)
In The Last Decade
Andreas Vécsei
96 papers receiving 2.5k citations
Andreas Vécsei's Hit Papers
Peers
Comparison fields: 5 of 120
- Gastroenterology 1k
- Computer Vision and Pattern Recognition 459
- Health Informatics 35
- Oncology 293
- Artificial Intelligence 451
Countries citing papers authored by Andreas Vécsei
This map shows the geographic impact of Andreas Vécsei'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 Andreas Vécsei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Vécsei more than expected).
Fields of papers citing papers by Andreas Vécsei
This network shows the impact of papers produced by Andreas Vécsei. 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 Andreas Vécsei. The network helps show where Andreas Vécsei may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Vécsei, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Non-Celiac Gluten Sensitivity: The New Frontier of Gluten Related Disorders Hit paper breakdown → | 2013 | 402 |
| 2 | 2017 | 221 | |
| 3 | 2016 | 194 | |
| 4 | 2016 | 167 | |
| 5 | 2015 | 128 | |
| 6 | 2011 | 110 | |
| 7 | 2011 | 66 | |
| 8 | 2013 | 63 | |
| 9 | 2009 | 51 | |
| 10 | 2004 | 50 | |
| 11 | 2011 | 46 | |
| 12 | 2013 | 42 | |
| 13 | 2016 | 40 | |
| 14 | 2014 | 38 | |
| 15 | 2005 | 37 | |
| 16 | 2009 | 33 | |
| 17 | 2008 | 32 | |
| 18 | 2008 | 31 | |
| 19 | 2010 | 29 | |
| 20 | 2006 | 27 |
About Andreas Vécsei
Andreas Vécsei is a scholar working on Gastroenterology, Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology and Oncology, having authored 98 papers that have together received 2.6k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (48 papers), AI in cancer detection (34 papers), Celiac Disease Research and Management (31 papers), Colorectal Cancer Screening and Detection (14 papers), Image Processing Techniques and Applications (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Advanced Neural Network Applications (7 papers) and Pneumonia and Respiratory Infections (3 papers). The work is most often cited by research in Gastroenterology (1k citations), Computer Vision and Pattern Recognition (459 citations), Health Informatics (35 citations), Oncology (293 citations) and Artificial Intelligence (451 citations). Andreas Vécsei has collaborated with scholars based in Austria, Germany and Portugal. Frequent co-authors include Andreas Uhl, Michael Liedlgruber, Michael Häfner, Sebastian Hegenbart, Friedrich Wrba, Georg Wimmer, Alfred Gangl, Michael Gadermayr, Herwig Kollaritsch and Michael Kundi. Their work appears in journals such as Vaccine, Computers in Biology and Medicine, Journal of Pediatric Gastroenterology and Nutrition, Pediatric Nephrology and Computer Methods and Programs 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.