Jonas Bohn
Impact in
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- Innovative Human-Technology Interaction
- Interactive and Immersive Displays
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- Personal Information Management and User Behavior
Papers in
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- Context-Aware Activity Recognition Systems 1
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- Radiomics and Machine Learning in Medical Imaging 1
- Advanced Neuroimaging Techniques and Applications 1
- Advanced MRI Techniques and Applications 1
- Co-authors
- Vlad C. Coroamă (1 shared paper)Friedemann Mattern (1 shared paper)Michael Rohs (1 shared paper)Frank Ückert (1 shared paper)Sylvia Nürnberg (1 shared paper)Lukas Schrader (1 shared paper)Victoria Shabardina (1 shared paper)Wojciech Makałowski (1 shared paper)
- Journals
- Molecular Psychiatry (1 paper)G3 Genes Genomes Genetics (1 paper)International Journal of Molecular Sciences (1 paper)Insights into Imaging (1 paper)
- Partner nations
- GermanySwitzerlandJapan
In The Last Decade
Jonas Bohn
6 papers receiving 89 citations
Peers
Comparison fields: 5 of 58
- Human-Computer Interaction 16
- Information Systems and Management 13
- Computer Vision and Pattern Recognition 31
- Information Systems 18
- Computer Science Applications 4
Countries citing papers authored by Jonas Bohn
This map shows the geographic impact of Jonas Bohn'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 Jonas Bohn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Bohn more than expected).
Fields of papers citing papers by Jonas Bohn
This network shows the impact of papers produced by Jonas Bohn. 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 Jonas Bohn. The network helps show where Jonas Bohn may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonas Bohn, 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 | 2005 | 42 | |
| 2 | 2004 | 21 | |
| 3 | 2021 | 19 | |
| 4 | 2020 | 7 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 5 |
About Jonas Bohn
Jonas Bohn is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Information Systems and Management, having authored 6 papers that have together received 99 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (1 paper), Interactive and Immersive Displays (1 paper), Gene expression and cancer classification (1 paper), Plant and animal studies (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper), Context-Aware Activity Recognition Systems (1 paper), Bioinformatics and Genomic Networks (1 paper) and Advanced MRI Techniques and Applications (1 paper). The work is most often cited by research in Human-Computer Interaction (16 citations), Information Systems and Management (13 citations), Computer Vision and Pattern Recognition (31 citations), Information Systems (18 citations) and Computer Science Applications (4 citations). Jonas Bohn has collaborated with scholars based in Germany, Switzerland and Japan. Frequent co-authors include Vlad C. Coroamă, Friedemann Mattern, Michael Rohs, Frank Ückert, Sylvia Nürnberg, Lukas Schrader, Victoria Shabardina, Wojciech Makałowski, Reza Halabian and Yutaka Suzuki. Their work appears in journals such as Molecular Psychiatry, G3 Genes Genomes Genetics, International Journal of Molecular Sciences and Insights into Imaging.
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.