Eike Petersen
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- EEG and Brain-Computer Interfaces
Papers in
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- Non-Invasive Vital Sign Monitoring 6
- Muscle activation and electromyography studies 5
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- Respiratory Support and Mechanisms 4
- Phonocardiography and Auscultation Techniques 3
- Chronic Obstructive Pulmonary Disease (COPD) Research 3
- Co-authors
- Philipp Rostalski (13 shared papers)Marcus Eger (3 shared papers)Stephan Walterspacher (2 shared papers)Sune Holm (2 shared papers)Aasa Feragen (2 shared papers)Melanie Ganz (2 shared papers)Helge B. D. Sørensen (1 shared paper)Jonas Duun‐Henriksen (1 shared paper)
In The Last Decade
Eike Petersen
17 papers receiving 190 citations
Peers
Comparison fields: 5 of 63
- Health Informatics 19
- Cognitive Neuroscience 75
- Biomedical Engineering 90
- Pulmonary and Respiratory Medicine 54
- Cardiology and Cardiovascular Medicine 36
Countries citing papers authored by Eike Petersen
This map shows the geographic impact of Eike Petersen'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 Eike Petersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eike Petersen more than expected).
Fields of papers citing papers by Eike Petersen
This network shows the impact of papers produced by Eike Petersen. 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 Eike Petersen. The network helps show where Eike Petersen may publish in the future.
Co-authors
The 24 scholars most cited alongside Eike Petersen, 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 | 2022 | 29 | |
| 2 | 2019 | 27 | |
| 3 | 2011 | 25 | |
| 4 | 2020 | 24 | |
| 5 | 2021 | 20 | |
| 6 | 2023 | 13 | |
| 7 | 2017 | 12 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2017 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2019 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2018 | 4 | |
| 16 | 2019 | 2 | |
| 17 | Planning Tool for the Evaluation of Railway Projects in Developing Countries | 1983 | 1 |
| 18 | 2022 | 0 |
About Eike Petersen
Eike Petersen is a scholar working on Biomedical Engineering, Pulmonary and Respiratory Medicine, Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Artificial Intelligence, having authored 18 papers that have together received 203 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (6 papers), Muscle activation and electromyography studies (5 papers), ECG Monitoring and Analysis (4 papers), Respiratory Support and Mechanisms (4 papers), EEG and Brain-Computer Interfaces (4 papers), Phonocardiography and Auscultation Techniques (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Health Informatics (19 citations), Cognitive Neuroscience (75 citations), Biomedical Engineering (90 citations), Pulmonary and Respiratory Medicine (54 citations) and Cardiology and Cardiovascular Medicine (36 citations). Eike Petersen has collaborated with scholars based in Germany, Denmark and Italy. Frequent co-authors include Philipp Rostalski, Marcus Eger, Stephan Walterspacher, Sune Holm, Aasa Feragen, Melanie Ganz, Helge B. D. Sørensen, Jonas Duun‐Henriksen, Christian Herzog and Carsten Thomsen. Their work appears in journals such as IEEE Access, Journal of Sleep Research, Patterns, IEEE Transactions on Biomedical Engineering and Critical Care.
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.