Benjamin Wild
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Genetics top 10%
- Insect and Arachnid Ecology and Behavior
Papers in
- Genetics 10
- Insect and Arachnid Ecology and Behavior 10
- Co-authors
- Tim Landgraf (13 shared papers)Raúl Rojas (3 shared papers)Iain D. Couzin (5 shared papers)Roland Eils (7 shared papers)Michael Larrey Smith (5 shared papers)Stefan Hegselmann (3 shared papers)Michael Fujarski (1 shared paper)Sarah Sandmann (1 shared paper)
- Journals
- Nature Communications (2 papers)Nature Medicine (2 papers)European Journal of Heart Failure (2 papers)Journal of The Royal Society Interface (1 paper)npj Digital Medicine (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Benjamin Wild
20 papers receiving 727 citations
Benjamin Wild's Hit Papers
Peers
Comparison fields: 5 of 106
- Health Informatics 83
- Genetics 174
- Computer Vision and Pattern Recognition 117
- Aging 7
- Insect Science 35
Countries citing papers authored by Benjamin Wild
This map shows the geographic impact of Benjamin Wild'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 Wild with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Wild more than expected).
Fields of papers citing papers by Benjamin Wild
This network shows the impact of papers produced by Benjamin Wild. 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 Wild. The network helps show where Benjamin Wild may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Wild, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Metabolomic profiles predict individual multidisease outcomes Hit paper breakdown → | 2022 | 272 |
| 2 | 2018 | 96 | |
| 3 | Benchmark evaluation of DeepSeek large language models in clinical decision-making Hit paper breakdown → | 2025 | 93 |
| 4 | 2021 | 60 | |
| 5 | 2015 | 48 | |
| 6 | 2018 | 44 | |
| 7 | 2017 | 31 | |
| 8 | 2022 | 24 | |
| 9 | 2021 | 22 | |
| 10 | 2023 | 16 | |
| 11 | 2023 | 8 | |
| 12 | 2025 | 6 | |
| 13 | 2021 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2025 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2013 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2026 | 1 |
About Benjamin Wild
Benjamin Wild is a scholar working on Genetics, Computer Vision and Pattern Recognition, Artificial Intelligence, Cardiology and Cardiovascular Medicine and Nutrition and Dietetics, having authored 23 papers that have together received 736 indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (10 papers), Machine Learning in Healthcare (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Fatty Acid Research and Health (2 papers), Evacuation and Crowd Dynamics (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Health Informatics (83 citations), Genetics (174 citations), Computer Vision and Pattern Recognition (117 citations), Aging (7 citations) and Insect Science (35 citations). Benjamin Wild has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Tim Landgraf, Raúl Rojas, Iain D. Couzin, Roland Eils, Michael Larrey Smith, Stefan Hegselmann, Michael Fujarski, Sarah Sandmann, Julian Varghese and Margaret J. Couvillon. Their work appears in journals such as Nature Communications, Nature Medicine, European Journal of Heart Failure, Journal of The Royal Society Interface and npj Digital Medicine.
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.