Matthias Ring
Impact in
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- Cardiac Arrest and Resuscitation
Papers in
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- Neural Networks and Applications 2
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- Body Composition Measurement Techniques 4
- Thermoregulation and physiological responses 4
- Co-authors
- Bjoern M. Eskofier (16 shared papers)Ulf Jensen (3 shared papers)Patrick Kugler (2 shared papers)Joachim Mester (3 shared papers)Manfred Rauh (4 shared papers)Michæl Philippsen (1 shared paper)Lars Eriksson (1 shared paper)Michael Behringer (1 shared paper)
In The Last Decade
Matthias Ring
24 papers receiving 260 citations
Peers
Comparison fields: 5 of 101
- Software 15
- Emergency Medicine 17
- Computer Vision and Pattern Recognition 37
- Signal Processing 19
- Health Informatics 2
Countries citing papers authored by Matthias Ring
This map shows the geographic impact of Matthias Ring'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 Matthias Ring with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Ring more than expected).
Fields of papers citing papers by Matthias Ring
This network shows the impact of papers produced by Matthias Ring. 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 Matthias Ring. The network helps show where Matthias Ring may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthias Ring, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 74 | |
| 2 | 2016 | 24 | |
| 3 | 2015 | 21 | |
| 4 | Software-based Performance and Complexity Analysis for the Design of Embedded Classification Systems | 2012 | 19 |
| 5 | 2015 | 15 | |
| 6 | 2018 | 14 | |
| 7 | 2022 | 14 | |
| 8 | 2020 | 11 | |
| 9 | Automated blood component preparation with the Opti system: three years' experience. | 1992 | 11 |
| 10 | 2015 | 10 | |
| 11 | 2015 | 9 | |
| 12 | 2015 | 7 | |
| 13 | Generic Features for Biosignal Classification | 2012 | 7 |
| 14 | 2022 | 6 | |
| 15 | 2016 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2020 | 4 | |
| 18 | 2014 | 3 | |
| 19 | 2015 | 3 | |
| 20 | 2019 | 2 |
About Matthias Ring
Matthias Ring is a scholar working on Artificial Intelligence, Physiology, Computer Vision and Pattern Recognition, Computer Networks and Communications and Neurology, having authored 26 papers that have together received 269 indexed citations. Recurring topics across this work include Body Composition Measurement Techniques (4 papers), Thermoregulation and physiological responses (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Face and Expression Recognition (2 papers), Cardiac Arrest and Resuscitation (2 papers), Neural Networks and Applications (2 papers), Sports Performance and Training (2 papers) and Cerebrospinal fluid and hydrocephalus (1 paper). The work is most often cited by research in Software (15 citations), Emergency Medicine (17 citations), Computer Vision and Pattern Recognition (37 citations), Signal Processing (19 citations) and Health Informatics (2 citations). Matthias Ring has collaborated with scholars based in Germany, Italy and Serbia. Frequent co-authors include Bjoern M. Eskofier, Ulf Jensen, Patrick Kugler, Joachim Mester, Manfred Rauh, Michæl Philippsen, Lars Eriksson, Michael Behringer, Fabio Baronio and Vladan Vukčević. Their work appears in journals such as Pattern Recognition Letters, IEEE Journal of Biomedical and Health Informatics, Scientific Reports, Artificial Intelligence in Medicine and Muscle & Nerve.
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.