Claes Lundström
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
-
- Computer Graphics and Visualization Techniques
Papers in
-
- Artificial Intelligence in Healthcare and Education 7
-
- Computer Graphics and Visualization Techniques 14
- Co-authors
- Anders YnnermanPatric LjungJesper MolinAnders PerssonGabriel EilertsenJonas UngerSten ThorstensonDarren Treanor
- Journals
- Journal of Pathology Informatics (8 papers)IEEE Transactions on Visualization and Computer Graphics (7 papers)Histopathology (2 papers)Journal of Digital Imaging (2 papers)Computerized Medical Imaging and Graphics (2 papers)
- Partner nations
- SwedenUnited KingdomUnited States
In The Last Decade
Claes Lundström
58 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 132
- Health Informatics 113
- Computer Graphics and Computer-Aided Design 267
- Computer Vision and Pattern Recognition 518
- Biophysics 127
- Radiology, Nuclear Medicine and Imaging 444
Countries citing papers authored by Claes Lundström
This map shows the geographic impact of Claes Lundström'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 Claes Lundström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claes Lundström more than expected).
Fields of papers citing papers by Claes Lundström
This network shows the impact of papers produced by Claes Lundström. 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 Claes Lundström. The network helps show where Claes Lundström may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Claes Lundström, 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 | 2023 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 7 | |
| 4 | 2022 | 19 | |
| 5 | 2022 | 16 | |
| 6 | 2022 | 18 | |
| 7 | 2021 | 20 | |
| 8 | 2020 | 12 | |
| 9 | 2020 | 13 | |
| 10 | 2019 | 5 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 21 | |
| 13 | 2018 | 49 | |
| 14 | 2017 | 6 | |
| 15 | 2014 | 1 | |
| 16 | 2014 | 124 | |
| 17 | 2012 | 43 | |
| 18 | 2006 | 60 | |
| 19 | 2006 | 91 | |
| 20 | 2004 | 35 |
About Claes Lundström
Claes Lundström is a scholar working on Health Informatics, Computer Graphics and Computer-Aided Design, Biophysics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include AI in cancer detection (26 papers), Computer Graphics and Visualization Techniques (14 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Cell Image Analysis Techniques (9 papers), Medical Image Segmentation Techniques (7 papers), Artificial Intelligence in Healthcare and Education (7 papers), 3D Shape Modeling and Analysis (7 papers) and Digital Imaging in Medicine (5 papers). The work is most often cited by research in Health Informatics (113 citations), Computer Graphics and Computer-Aided Design (267 citations), Computer Vision and Pattern Recognition (518 citations), Biophysics (127 citations) and Radiology, Nuclear Medicine and Imaging (444 citations). Claes Lundström has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Anders Ynnerman, Patric Ljung, Jesper Molin, Anders Persson, Gabriel Eilertsen, Jonas Unger, Sten Thorstenson, Darren Treanor, Joel Hedlund and Ken Museth. Their work appears in journals such as Journal of Pathology Informatics, IEEE Transactions on Visualization and Computer Graphics, Histopathology, Journal of Digital Imaging and Computerized Medical Imaging and Graphics.
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.