Stephan Jonas
Impact in
- Health Informatics top 10%
- Human-Computer Interaction top 10%
Papers in
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- Context-Aware Activity Recognition Systems 5
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- ECG Monitoring and Analysis 6
- Cardiomyopathy and Myosin Studies 3
- Co-authors
- Thomas M. Deserno (15 shared papers)Ekaterina Kutafina (10 shared papers)Daniel Haak (7 shared papers)Muhammad Kashif (3 shared papers)Michael A. Choma (9 shared papers)Andreas Stang (1 shared paper)Charles Poole (1 shared paper)Mustafa K. Khokha (9 shared papers)
- Journals
- Sensors (5 papers)Computers in Biology and Medicine (4 papers)Scientific Reports (4 papers)Digital Health (4 papers)SoftwareX (2 papers)
- Partner nations
- GermanyUnited StatesPoland
In The Last Decade
Stephan Jonas
70 papers receiving 890 citations
Peers
Comparison fields: 5 of 143
- Health Informatics 14
- Human-Computer Interaction 48
- Biophysics 40
- Computer Vision and Pattern Recognition 137
- Oral Surgery 36
Countries citing papers authored by Stephan Jonas
This map shows the geographic impact of Stephan Jonas'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 Stephan Jonas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Jonas more than expected).
Fields of papers citing papers by Stephan Jonas
This network shows the impact of papers produced by Stephan Jonas. 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 Stephan Jonas. The network helps show where Stephan Jonas may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephan Jonas, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 85 | |
| 2 | 2018 | 81 | |
| 3 | 2011 | 55 | |
| 4 | 2012 | 52 | |
| 5 | 2008 | 43 | |
| 6 | 2015 | 37 | |
| 7 | 2020 | 36 | |
| 8 | 2016 | 32 | |
| 9 | 2019 | 28 | |
| 10 | 2016 | 27 | |
| 11 | 2019 | 27 | |
| 12 | 2017 | 26 | |
| 13 | 2021 | 26 | |
| 14 | 2019 | 26 | |
| 15 | 2013 | 22 | |
| 16 | 2018 | 19 | |
| 17 | 2016 | 17 | |
| 18 | 2019 | 16 | |
| 19 | 2014 | 15 | |
| 20 | 2025 | 14 |
About Stephan Jonas
Stephan Jonas is a scholar working on Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Molecular Biology and Artificial Intelligence, having authored 86 papers that have together received 913 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (6 papers), Context-Aware Activity Recognition Systems (5 papers), Mobile Health and mHealth Applications (4 papers), EEG and Brain-Computer Interfaces (4 papers), Microfluidic and Bio-sensing Technologies (4 papers), Gaze Tracking and Assistive Technology (3 papers), Cardiomyopathy and Myosin Studies (3 papers) and Hand Gesture Recognition Systems (3 papers). The work is most often cited by research in Health Informatics (14 citations), Human-Computer Interaction (48 citations), Biophysics (40 citations), Computer Vision and Pattern Recognition (137 citations) and Oral Surgery (36 citations). Stephan Jonas has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Thomas M. Deserno, Ekaterina Kutafina, Daniel Haak, Muhammad Kashif, Michael A. Choma, Andreas Stang, Charles Poole, Mustafa K. Khokha, Cord Spreckelsen and Philippe Dreuw. Their work appears in journals such as Sensors, Computers in Biology and Medicine, Scientific Reports, Digital Health and SoftwareX.
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.