Benjamin Risse
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
- Aging top 5%
Papers in ⓘ
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
- Co-authors
- Christian Klämbt (15 shared papers)Xiaoyi Jiang (16 shared papers)Nils Otto (10 shared papers)Michael Mangan (5 shared papers)Barbara Webb (5 shared papers)Dimitri Berh (13 shared papers)Devis Tuia (2 shared papers)Mackenzie Weygandt Mathis (1 shared paper)
- Journals
- Nature Communications (3 papers)Computers in Biology and Medicine (3 papers)PLoS ONE (3 papers)Scientific Reports (2 papers)Science Advances (2 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Benjamin Risse
48 papers receiving 935 citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Ecological Modeling 139
- Aging 45
- Developmental Biology 47
- Cellular and Molecular Neuroscience 261
- Health Informatics 12
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 52 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 | 348 |
| 2 | 2013 | 77 | |
| 3 | 2017 | 61 | |
| 4 | 2012 | 41 | |
| 5 | 2019 | 34 | |
| 6 | 2018 | 33 | |
| 7 | 2014 | 32 | |
| 8 | 2017 | 31 | |
| 9 | 2019 | 29 | |
| 10 | 2013 | 24 | |
| 11 | 2023 | 23 | |
| 12 | 2017 | 22 | |
| 13 | 2023 | 19 | |
| 14 | 2014 | 18 | |
| 15 | 2016 | 17 | |
| 16 | 2019 | 13 | |
| 17 | 2023 | 13 | |
| 18 | 2021 | 12 | |
| 19 | 2016 | 11 | |
| 20 | 2023 | 10 |
About Benjamin Risse
Benjamin Risse is a scholar working on Aging, Health Informatics, Ecological Modeling, Cellular and Molecular Neuroscience and Biophysics, having authored 52 papers that have together received 970 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (15 papers), Insect and Arachnid Ecology and Behavior (6 papers), Cell Image Analysis Techniques (5 papers), Species Distribution and Climate Change (5 papers), Simulation-Based Education in Healthcare (5 papers), Neural Networks and Reservoir Computing (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Ecological Modeling (139 citations), Aging (45 citations), Developmental Biology (47 citations), Cellular and Molecular Neuroscience (261 citations) and Health Informatics (12 citations). Benjamin Risse has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Christian Klämbt, Xiaoyi Jiang, Nils Otto, Michael Mangan, Barbara Webb, Dimitri Berh, Devis Tuia, Mackenzie Weygandt Mathis, Blair R. Costelloe and Roland Kays. Their work appears in journals such as Nature Communications, Computers in Biology and Medicine, PLoS ONE, Scientific Reports and Science Advances.
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.