Benjamin Risse
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Neurobiology and Insect Physiology Research
Papers in
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- Video Surveillance and Tracking Methods 12
- Medical Image Segmentation Techniques 7
- Advanced Vision and Imaging 7
- Advanced Neural Network Applications 6
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- Neurobiology and Insect Physiology Research 13
- Co-authors
- Xiaoyi Jiang (19 shared papers)Christian Klämbt (15 shared papers)Nils Otto (10 shared papers)Barbara H. Webb (5 shared papers)Michael Mangan (5 shared papers)Devis Tuia (2 shared papers)Charles V. Stewart (1 shared paper)Margaret C. Crofoot (1 shared paper)
- Journals
- Computers in Biology and Medicine (4 papers)Science Advances (3 papers)PLoS ONE (3 papers)Nature Communications (3 papers)IEEE Transactions on Biomedical Engineering (2 papers)
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Benjamin Risse
68 papers receiving 1.4k citations
Benjamin Risse's Hit Papers
Peers
Comparison fields: 5 of 136
- Health Informatics 54
- Cellular and Molecular Neuroscience 269
- Developmental Biology 29
- Computer Vision and Pattern Recognition 299
- Ecological Modeling 30
Countries citing papers authored by Benjamin Risse
This map shows the geographic impact of Benjamin Risse'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 Benjamin Risse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Risse more than expected).
Fields of papers citing papers by Benjamin Risse
This network shows the impact of papers produced by Benjamin Risse. 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 Benjamin Risse. The network helps show where Benjamin Risse may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Risse, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Perspectives in machine learning for wildlife conservation Hit paper breakdown → | 2022 | 483 |
| 2 | 2013 | 85 | |
| 3 | A Systematic Evaluation of Machine Learning–Based Biomarkers for Major Depressive Disorder Hit paper breakdown → | 2024 | 73 |
| 4 | 2017 | 67 | |
| 5 | 2023 | 57 | |
| 6 | 2012 | 43 | |
| 7 | 2019 | 39 | |
| 8 | 2018 | 37 | |
| 9 | 2017 | 36 | |
| 10 | 2017 | 35 | |
| 11 | 2014 | 34 | |
| 12 | 2019 | 31 | |
| 13 | 2023 | 31 | |
| 14 | 2013 | 27 | |
| 15 | 2024 | 27 | |
| 16 | 2017 | 26 | |
| 17 | 2021 | 22 | |
| 18 | 2022 | 21 | |
| 19 | 2023 | 21 | |
| 20 | 2014 | 19 |
About Benjamin Risse
Benjamin Risse is a scholar working on Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience, Biophysics, Human-Computer Interaction and Artificial Intelligence, having authored 76 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (13 papers), Video Surveillance and Tracking Methods (12 papers), Cell Image Analysis Techniques (9 papers), Medical Image Segmentation Techniques (7 papers), Advanced Vision and Imaging (7 papers), Advanced Neural Network Applications (6 papers), Simulation-Based Education in Healthcare (6 papers) and Surgical Simulation and Training (5 papers). The work is most often cited by research in Health Informatics (54 citations), Cellular and Molecular Neuroscience (269 citations), Developmental Biology (29 citations), Computer Vision and Pattern Recognition (299 citations) and Ecological Modeling (30 citations). Benjamin Risse has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Xiaoyi Jiang, Christian Klämbt, Nils Otto, Barbara H. Webb, Michael Mangan, Devis Tuia, Charles V. Stewart, Margaret C. Crofoot, Silvia Zuffi and Blair R. Costelloe. Their work appears in journals such as Computers in Biology and Medicine, Science Advances, PLoS ONE, Nature Communications and IEEE Transactions on Biomedical Engineering.
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.