Jesper Molin
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
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- AI in cancer detection 11
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- Radiomics and Machine Learning in Medical Imaging 5
- Co-authors
- Claes Lundström (13 shared papers)Sten Thorstenson (1 shared paper)Horst K. Hahn (2 shared papers)André Homeyer (2 shared papers)Kalle Åström (1 shared paper)Anders Heyden (1 shared paper)Morten Fjeld (3 shared papers)Nick Weiss (1 shared paper)
- Journals
- Journal of Pathology Informatics (4 papers)Histopathology (2 papers)Computer Graphics Forum (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)interactions (1 paper)
- Partner nations
- SwedenGermanyUnited Kingdom
In The Last Decade
Jesper Molin
15 papers receiving 307 citations
Peers
Comparison fields: 5 of 71
- Health Informatics 27
- Biophysics 63
- Artificial Intelligence 242
- Radiology, Nuclear Medicine and Imaging 123
- Computer Vision and Pattern Recognition 68
Countries citing papers authored by Jesper Molin
This map shows the geographic impact of Jesper Molin'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 Jesper Molin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesper Molin more than expected).
Fields of papers citing papers by Jesper Molin
This network shows the impact of papers produced by Jesper Molin. 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 Jesper Molin. The network helps show where Jesper Molin may publish in the future.
Co-authors
The 15 scholars most cited alongside Jesper Molin, 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 | 2014 | 124 | |
| 2 | 2016 | 52 | |
| 3 | 2018 | 49 | |
| 4 | 2021 | 20 | |
| 5 | 2015 | 19 | |
| 6 | 2018 | 15 | |
| 7 | 2014 | 10 | |
| 8 | 2017 | 7 | |
| 9 | 2016 | 7 | |
| 10 | 2016 | 4 | |
| 11 | 2014 | 4 | |
| 12 | 2021 | 2 | |
| 13 | Verification Staircase: a Design Strategy for Actionable Explanations. | 2020 | 1 |
| 14 | The Importance of UX for Machine Teaching. | 2018 | 1 |
| 15 | 2023 | 1 | |
| 16 | Diagnostic Review with Digital Pathology: Design of digitals tools for routine diagnostic use | 2016 | 1 |
| 17 | 2024 | 1 | |
| 18 | 2024 | 0 |
About Jesper Molin
Jesper Molin is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biophysics, Molecular Biology and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 318 indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Cell Image Analysis Techniques (4 papers), Colorectal Cancer Screening and Detection (2 papers), Digital Imaging in Medicine (2 papers), Breast Cancer Treatment Studies (1 paper), Image Processing Techniques and Applications (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Health Informatics (27 citations), Biophysics (63 citations), Artificial Intelligence (242 citations), Radiology, Nuclear Medicine and Imaging (123 citations) and Computer Vision and Pattern Recognition (68 citations). Jesper Molin has collaborated with scholars based in Sweden, Germany and United Kingdom. Frequent co-authors include Claes Lundström, Sten Thorstenson, Horst K. Hahn, André Homeyer, Kalle Åström, Anders Heyden, Morten Fjeld, Nick Weiss, Jonas Löwgren and Darren Treanor. Their work appears in journals such as Journal of Pathology Informatics, Histopathology, Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics and interactions.
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.