Robin Strand
Impact in
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- Medical Image Segmentation Techniques
- Digital Image Processing Techniques
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
Papers in ⓘ
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- Medical Image Segmentation Techniques 48
- Digital Image Processing Techniques 32
- Image Retrieval and Classification Techniques 14
- Advanced Neural Network Applications 7
- Co-authors
- Joel Kullberg (34 shared papers)Håkan Åhlström (31 shared papers)Filip Malmberg (15 shared papers)Gunilla Borgefors (4 shared papers)Punam K. Saha (3 shared papers)Benedek Nagy (9 shared papers)E. Hayman (1 shared paper)Krzysztof Chris Ciesielski (2 shared papers)
In The Last Decade
Robin Strand
95 papers receiving 983 citations
Peers
Comparison fields: 5 of 122
- Computer Vision and Pattern Recognition 438
- Computer Graphics and Computer-Aided Design 42
- Radiology, Nuclear Medicine and Imaging 237
- Media Technology 57
- Physiology 169
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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 63 | |
| 2 | 2012 | 55 | |
| 3 | 2015 | 48 | |
| 4 | 2015 | 46 | |
| 5 | 2005 | 43 | |
| 6 | 2017 | 31 | |
| 7 | 2014 | 30 | |
| 8 | 2014 | 30 | |
| 9 | 2023 | 28 | |
| 10 | 1986 | 28 | |
| 11 | 2015 | 26 | |
| 12 | 2010 | 25 | |
| 13 | 2022 | 23 | |
| 14 | 2022 | 23 | |
| 15 | 2018 | 22 | |
| 16 | 2019 | 20 | |
| 17 | Smart Paint : A New Interactive Segmentation Method\\ Applied to MR Prostate Segmentation | 2012 | 19 |
| 18 | 2007 | 19 | |
| 19 | 2006 | 18 | |
| 20 | 2008 | 18 |
About Robin Strand
Robin Strand is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Radiology, Nuclear Medicine and Imaging, Biophysics and Neurology, having authored 106 papers that have together received 1.0k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (48 papers), Digital Image Processing Techniques (32 papers), Radiomics and Machine Learning in Medical Imaging (17 papers), Medical Imaging Techniques and Applications (14 papers), Image Retrieval and Classification Techniques (14 papers), Cardiovascular Disease and Adiposity (10 papers), Advanced MRI Techniques and Applications (7 papers) and Advanced Neural Network Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (438 citations), Computer Graphics and Computer-Aided Design (42 citations), Radiology, Nuclear Medicine and Imaging (237 citations), Media Technology (57 citations) and Physiology (169 citations). Robin Strand has collaborated with scholars based in Sweden, India and Hungary. Frequent co-authors include Joel Kullberg, Håkan Åhlström, Filip Malmberg, Gunilla Borgefors, Punam K. Saha, Benedek Nagy, E. Hayman, Krzysztof Chris Ciesielski, Lars Lind and Göran Bergström. Their work appears in journals such as Scientific Reports, PLoS ONE, Discrete Applied Mathematics, Computer Vision and Image Understanding and Theoretical Computer Science.
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.