Måns Larsson

952 citations
29 papers · 546 · h-index 13

Impact in

Papers in

Måns Larsson

27 papers receiving 523 citations

Peers

Måns Larsson
Comparison fields: 5 of 94
  • Computer Vision and Pattern Recognition 326
  • Health Informatics 13
  • Signal Processing 78
  • Radiology, Nuclear Medicine and Imaging 129
  • Media Technology 27
Replace Bisser Raytchev with:
Bisser Raytchev Japan
Surekha Borra India
Michael Tschannen Switzerland
Chaowei Fang China
Dongbao Yang China
Yujiro Furukawa Japan
Tohru Kamiya Japan
Xinyuan Chen China
Michalis A. Savelonas Greece
Måns Larsson relative to Bisser Raytchev Japan Bisser Raytchev's profile →
Citations per field
00.5×2.8×
Bisser Raytchev · 1×
Citations per year

Countries citing papers authored by Måns Larsson

Since Specialization
Citations

This map shows the geographic impact of Måns Larsson'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 Måns Larsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Måns Larsson more than expected).

Fields of papers citing papers by Måns Larsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Måns Larsson. 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 Måns Larsson. The network helps show where Måns Larsson may publish in the future.

Co-authors

The 25 scholars most cited alongside Måns Larsson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Måns Larsson Line = papers co-authored together Måns Larsson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000150
2 201881
3 201837
4 200333
5 200028
6 202126
7 199923
8 202420
9 201020
10 202019
11 201916
12 202112
13 202212
14 202111
15 202311
16 20218
17 20247
18
Deepseg: Abdominal Organ Segmentation Using Deep Convolutional Neural Networks
20166
19 20245
20 20225

About Måns Larsson

Måns Larsson is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 29 papers that have together received 546 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Medical Imaging Techniques and Applications (4 papers), AI in cancer detection (4 papers), Advanced Neural Network Applications (4 papers), Cardiac Imaging and Diagnostics (4 papers), Prostate Cancer Treatment and Research (4 papers) and Advanced Data Compression Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (326 citations), Health Informatics (13 citations), Signal Processing (78 citations), Radiology, Nuclear Medicine and Imaging (129 citations) and Media Technology (27 citations). Måns Larsson has collaborated with scholars based in Sweden, Denmark and United States. Frequent co-authors include C. Christopoulos, Fredrik Kahl, Yuhang Zhang, Daniel Förnvik, Lars Edenbrandt, Anurag Arnab, Bogdan Savchynskyy, Carsten Rother, Philip H. S. Torr and Shuai Zheng. Their work appears in journals such as Clinical Physiology and Functional Imaging, Scientific Reports, European Radiology, Journal of Nuclear Cardiology and EJNMMI Physics.

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.

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