Peter Rogelj
Impact in
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- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Obstetrics and Gynecology top 10%
- Endometrial and Cervical Cancer Treatments
Papers in
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- Medical Image Segmentation Techniques 17
- Advanced Image and Video Retrieval Techniques 7
- Image and Object Detection Techniques 4
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- MRI in cancer diagnosis 7
- Co-authors
- Stanislav Kovačič (9 shared papers)James C. Gee (4 shared papers)Saša Vlahinić (4 shared papers)Frank G. Zöllner (4 shared papers)Arvid Lundervold (3 shared papers)A. Santos (1 shared paper)Jarle Rørvik (1 shared paper)María J. Ledesma‐Carbayo (1 shared paper)
In The Last Decade
Peter Rogelj
34 papers receiving 583 citations
Peers
Comparison fields: 5 of 92
- Radiology, Nuclear Medicine and Imaging 249
- Obstetrics and Gynecology 74
- Computer Vision and Pattern Recognition 219
- Radiation 55
- Cognitive Neuroscience 52
Countries citing papers authored by Peter Rogelj
This map shows the geographic impact of Peter Rogelj'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 Peter Rogelj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Rogelj more than expected).
Fields of papers citing papers by Peter Rogelj
This network shows the impact of papers produced by Peter Rogelj. 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 Peter Rogelj. The network helps show where Peter Rogelj may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Rogelj, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 105 | |
| 2 | 2022 | 85 | |
| 3 | 2005 | 76 | |
| 4 | 2013 | 74 | |
| 5 | 2003 | 58 | |
| 6 | 2021 | 28 | |
| 7 | 2002 | 25 | |
| 8 | 2019 | 23 | |
| 9 | 2012 | 21 | |
| 10 | Similarity measures for non-rigid registration | 2001 | 11 |
| 11 | Texture features for affine registration of thermal (FLIR) and visible images | 2007 | 11 |
| 12 | 2003 | 9 | |
| 13 | 2003 | 9 | |
| 14 | 2002 | 8 | |
| 15 | Motion correction of contrast-enhanced MRI time series of kidney | 2007 | 8 |
| 16 | 2007 | 7 | |
| 17 | 2001 | 7 | |
| 18 | 2008 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2022 | 6 |
About Peter Rogelj
Peter Rogelj is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Aerospace Engineering and Obstetrics and Gynecology, having authored 37 papers that have together received 612 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (17 papers), MRI in cancer diagnosis (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Robotics and Sensor-Based Localization (5 papers), EEG and Brain-Computer Interfaces (5 papers), Functional Brain Connectivity Studies (5 papers), Image and Object Detection Techniques (4 papers) and Endometrial and Cervical Cancer Treatments (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (249 citations), Obstetrics and Gynecology (74 citations), Computer Vision and Pattern Recognition (219 citations), Radiation (55 citations) and Cognitive Neuroscience (52 citations). Peter Rogelj has collaborated with scholars based in Slovenia, Croatia and Norway. Frequent co-authors include Stanislav Kovačič, James C. Gee, Saša Vlahinić, Frank G. Zöllner, Arvid Lundervold, A. Santos, Jarle Rørvik, María J. Ledesma‐Carbayo, Primož Petrič and Robert Hudej. Their work appears in journals such as Sensors, Radiotherapy and Oncology, Magnetic Resonance Materials in Physics Biology and Medicine, Computerized Medical Imaging and Graphics and Academic Radiology.
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.