Dieter Hayn
- Cardiology and Cardiovascular Medicine top 5%
- Computer Networks and Communications top 5%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- G. SchreierMario DrobicsPeter KästnerMartin KropfRobert Modre‐OsprianA. KollmannSílvia Helena KollerWolfgang Salmhofer
- Topics
- ECG Monitoring and Analysis (19 papers)Machine Learning in Healthcare (13 papers)Mobile Health and mHealth Applications (9 papers)
In The Last Decade
Dieter Hayn
82 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Cardiology and Cardiovascular Medicine 376
- Computer Networks and Communications 290
- Biomedical Engineering 243
- Computer Vision and Pattern Recognition 182
- Cognitive Neuroscience 165
Countries citing papers authored by Dieter Hayn
This map shows the geographic impact of Dieter Hayn'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 Dieter Hayn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dieter Hayn more than expected).
Fields of papers citing papers by Dieter Hayn
This network shows the impact of papers produced by Dieter Hayn. 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 Dieter Hayn. The network helps show where Dieter Hayn may publish in the future.
Co-authorship network of co-authors of Dieter Hayn
This figure shows the co-authorship network connecting the top 25 collaborators of Dieter Hayn. A scholar is included among the top collaborators of Dieter Hayn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dieter Hayn. Dieter Hayn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 6 | |
| 13 | 50 | |
| 14 | Standardized data sharing in a paediatric oncology research network--a proof-of-concept study. | 5 |
| 15 | A robust algorithm for fetal QRS detection using non-invasive maternal abdomenal ECGs | 6 |
| 16 | Weather influence on alarm occurrence in home telemonitoring of heart failure patients | 1 |
| 17 | Edema detection for heart failure patients in home monitoring scenarios | 3 |
| 18 | ECG quality assessment for patient empowerment in mHealth applications | 34 |
| 19 | Optimization of the alarm-management of a heart failure home-monitoring system | 3 |
| 20 | Automated QT interval measurement from multilead ECG signals | 11 |
About Dieter Hayn
Dieter Hayn is a scholar working on Family Practice, Health Information Management and Cardiology and Cardiovascular Medicine, having authored 87 papers that have together received 1.2k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (19 papers), Machine Learning in Healthcare (13 papers) and Mobile Health and mHealth Applications (9 papers). The work is most often cited by research in Health Informatics (34 citations), Family Practice (42 citations) and Health Information Management (76 citations). Dieter Hayn has collaborated with scholars based in Austria, Spain and Germany. Frequent co-authors include G. Schreier, Mario Drobics, Peter Kästner, Martin Kropf, Robert Modre‐Osprian, A. Kollmann, Sílvia Helena Koller, Wolfgang Salmhofer, Rainer Hofmann‐Wellenhof and Friedrich Fruhwald. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Sensors and British Journal of Clinical Pharmacology.
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.