M. Pedevilla
Impact in
- Urology top 10%
- Urinary Bladder and Prostate Research
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- Prostate Cancer Diagnosis and Treatment
- Prostate Cancer Treatment and Research
Papers in
-
- Natural Language Processing Techniques 3
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- MRI in cancer diagnosis 3
- Medical Imaging Techniques and Applications 2
- Radiomics and Machine Learning in Medical Imaging 2
- Advanced MRI Techniques and Applications 2
- Co-authors
- Michael Marberger (2 shared papers)Martin Susani (2 shared papers)Stephan Madersbacher (1 shared paper)Christian Kratzik (1 shared paper)Paul Wach (4 shared papers)Rudolf Stollberger (5 shared papers)F. F. Ebner (1 shared paper)Roland Bammer (2 shared papers)
- Journals
- BMC Medical Informatics and Decision Making (1 paper)European Urology (1 paper)Studies in health technology and informatics (1 paper)PubMed (1 paper)
- Partner nations
- Austria
In The Last Decade
M. Pedevilla
8 papers receiving 321 citations
Peers
Comparison fields: 5 of 47
- Urology 57
- Pulmonary and Respiratory Medicine 160
- Radiology, Nuclear Medicine and Imaging 88
- Biomedical Engineering 165
- Radiation 29
Countries citing papers authored by M. Pedevilla
This map shows the geographic impact of M. Pedevilla'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 M. Pedevilla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Pedevilla more than expected).
Fields of papers citing papers by M. Pedevilla
This network shows the impact of papers produced by M. Pedevilla. 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 M. Pedevilla. The network helps show where M. Pedevilla may publish in the future.
Co-authors
The 20 scholars most cited alongside M. Pedevilla, 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 | Effect of high-intensity focused ultrasound on human prostate cancer in vivo. | 1995 | 295 |
| 2 | 1998 | 22 | |
| 3 | 2019 | 4 | |
| 4 | Influence of capillary blood flow and first pass effects on determination of tissue permeability | 1998 | 3 |
| 5 | Automated tissue classification of extremities using knowledge-based segmentation of MR images. | 1997 | 2 |
| 6 | Improving the diagnostic reliability of dynamic MR-mammography - ROI vs. pixel-by-pixel evaluation. | 1997 | 2 |
| 7 | Definition of benign breast lesions with contrast enhanced 3D-imaging with high temporal resolution. | 1995 | 1 |
| 8 | Comparison of various methods used for breast tumor characterization in Gd-DTPA enhanced MR-imaging. | 1995 | 1 |
| 9 | 2018 | 0 | |
| 10 | 2018 | 0 |
About M. Pedevilla
M. Pedevilla is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Biomedical Engineering and Surgery, having authored 10 papers that have together received 330 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (3 papers), MRI in cancer diagnosis (3 papers), Medical Imaging Techniques and Applications (2 papers), Biomedical Text Mining and Ontologies (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced MRI Techniques and Applications (2 papers), Urologic and reproductive health conditions (1 paper) and Medical Coding and Health Information (1 paper). The work is most often cited by research in Urology (57 citations), Pulmonary and Respiratory Medicine (160 citations), Radiology, Nuclear Medicine and Imaging (88 citations), Biomedical Engineering (165 citations) and Radiation (29 citations). M. Pedevilla has collaborated with scholars based in Austria. Frequent co-authors include Michael Marberger, Martin Susani, Stephan Madersbacher, Christian Kratzik, Paul Wach, Rudolf Stollberger, F. F. Ebner, Roland Bammer, Stefan Ropele and Stefan Schulz. Their work appears in journals such as BMC Medical Informatics and Decision Making, European Urology, Studies in health technology and informatics and PubMed.
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.