Robin Strand
Impact in
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- Medical Image Segmentation Techniques
- Digital Image Processing Techniques
- Advanced Neural Network Applications
- Health Informatics top 5%
Papers in
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- Digital Image Processing Techniques 64
- Medical Image Segmentation Techniques 54
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- Advanced MRI Techniques and Applications 9
- Co-authors
- Benedek Nagy (19 shared papers)Joel Kullberg (41 shared papers)Håkan K. Ahlström (38 shared papers)Filip Malmberg (25 shared papers)Gunilla Borgefors (8 shared papers)Punam Kumar Saha (5 shared papers)Krzysztof Chris Ciesielski (4 shared papers)Eric Hayman (1 shared paper)
In The Last Decade
Robin Strand
144 papers receiving 2.1k citations
Robin Strand's Hit Papers
Peers
Comparison fields: 5 of 108
- Computer Vision and Pattern Recognition 1.4k
- Health Informatics 57
- Radiology, Nuclear Medicine and Imaging 211
- Computer Graphics and Computer-Aided Design 31
- Artificial Intelligence 233
Countries citing papers authored by Robin Strand
This map shows the geographic impact of Robin Strand'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 Robin Strand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Strand more than expected).
Fields of papers citing papers by Robin Strand
This network shows the impact of papers produced by Robin Strand. 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 Robin Strand. The network helps show where Robin Strand may publish in the future.
Co-authors
The 25 scholars most cited alongside Robin Strand, 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 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge Hit paper breakdown → | 2013 | 658 |
| 2 | 2017 | 71 | |
| 3 | 2012 | 65 | |
| 4 | 2015 | 62 | |
| 5 | 2005 | 49 | |
| 6 | 2015 | 48 | |
| 7 | 2010 | 37 | |
| 8 | 2023 | 36 | |
| 9 | 2014 | 35 | |
| 10 | 2014 | 35 | |
| 11 | 2017 | 34 | |
| 12 | 2015 | 30 | |
| 13 | 2007 | 28 | |
| 14 | 2022 | 28 | |
| 15 | 2018 | 27 | |
| 16 | 2007 | 26 | |
| 17 | 2008 | 26 | |
| 18 | 2006 | 25 | |
| 19 | 2022 | 25 | |
| 20 | 2005 | 24 |
About Robin Strand
Robin Strand is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Neurology, Physiology and Computer Graphics and Computer-Aided Design, having authored 151 papers that have together received 2.2k indexed citations. Recurring topics across this work include Digital Image Processing Techniques (64 papers), Medical Image Segmentation Techniques (54 papers), Advanced MRI Techniques and Applications (9 papers), Brain Tumor Detection and Classification (7 papers), Body Composition Measurement Techniques (6 papers), Mathematical Approximation and Integration (4 papers), Computer Graphics and Visualization Techniques (4 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Health Informatics (57 citations), Radiology, Nuclear Medicine and Imaging (211 citations), Computer Graphics and Computer-Aided Design (31 citations) and Artificial Intelligence (233 citations). Robin Strand has collaborated with scholars based in Sweden, Hungary and India. Frequent co-authors include Benedek Nagy, Joel Kullberg, Håkan K. Ahlström, Filip Malmberg, Gunilla Borgefors, Punam Kumar Saha, Krzysztof Chris Ciesielski, Eric Hayman, Lars Lind and Göran Bergström. Their work appears in journals such as Scientific Reports, PLoS ONE, Lecture notes in computer science, Discrete Applied Mathematics and Computer Vision and Image Understanding.
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.