Dieter Hayn

1.8k total citations · 1 hit paper
87 papers, 1.2k citations indexed

About

Dieter Hayn is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence and Surgery. According to data from OpenAlex, Dieter Hayn has authored 87 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cardiology and Cardiovascular Medicine, 24 papers in Artificial Intelligence and 12 papers in Surgery. Recurrent topics in Dieter Hayn's work include ECG Monitoring and Analysis (19 papers), Machine Learning in Healthcare (13 papers) and Mobile Health and mHealth Applications (9 papers). Dieter Hayn is often cited by papers focused on ECG Monitoring and Analysis (19 papers), Machine Learning in Healthcare (13 papers) and Mobile Health and mHealth Applications (9 papers). Dieter Hayn collaborates with scholars based in Austria, Germany and Spain. Dieter Hayn's co-authors include G. Schreier, Mario Drobics, Peter Kästner, Martin Kropf, Robert Modre‐Osprian, A. Kollmann, Sílvia Helena Koller, Rainer Hofmann‐Wellenhof, Wolfgang Salmhofer and Friedrich Fruhwald and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Sensors and British Journal of Clinical Pharmacology.

In The Last Decade

Dieter Hayn

82 papers receiving 1.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Internet of Things for Ambient Assisted Living

2010 341 citations Mario Drobics, Dieter Hayn et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dieter Hayn Austria	16	376	290	243	182	165	87	1.2k
Mirza Mansoor Baig New Zealand	15	300 0.8×	237 0.8×	472 1.9×	254 1.4×	103 0.6×	73	1.6k
J. García Spain	22	597 1.6×	193 0.7×	415 1.7×	230 1.3×	201 1.2×	99	1.3k
Álvaro Alesanco Spain	18	304 0.8×	124 0.4×	261 1.1×	159 0.9×	85 0.5×	53	889
P. Rubel France	20	1.1k 2.8×	269 0.9×	203 0.8×	120 0.7×	143 0.9×	112	1.6k
Mahmood M. Salih Iraq	19	96 0.3×	117 0.4×	172 0.7×	137 0.8×	183 1.1×	42	1.6k
Mark Donnelly United Kingdom	17	193 0.5×	113 0.4×	102 0.4×	227 1.2×	80 0.5×	93	812
Mehmet K. Aktaş United States	22	1.2k 3.2×	366 1.3×	350 1.4×	175 1.0×	45 0.3×	119	2.2k
Giovanna Sannino Italy	19	454 1.2×	117 0.4×	332 1.4×	319 1.8×	296 1.8×	77	1.7k
Laura M. Roa Spain	24	91 0.2×	264 0.9×	639 2.6×	300 1.6×	87 0.5×	98	1.7k

Countries citing papers authored by Dieter Hayn

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hayn, Dieter, Marianne Brodmann, Gerald Seinost, et al.. (2024). Usability of a telehealth-nurse supported home-based walking training for peripheral arterial disease – The Keep Pace! pilot study. VASA. 53(4). 246–254. 3 indexed citations

Hayn, Dieter, et al.. (2024). Masketeer: An Ensemble-Based Pseudonymization Tool with Entity Recognition for German Unstructured Medical Free Text. Future Internet. 16(8). 281–281. 2 indexed citations

Hayn, Dieter, et al.. (2024). Privacy-Preserving Linkage of Distributed Pseudonymised Datasets in a Virtual European Rare Disease Platform. Studies in health technology and informatics. 316. 1442–1446. 1 indexed citations

Modre‐Osprian, Robert, Marianne Brodmann, Gerald Seinost, et al.. (2024). Support of Home-Based Structured Walking Training and Prediction of the 6-Minute Walk Test Distance in Patients With Peripheral Arterial Disease Based on Telehealth Data: Prospective Cohort Study. JMIR Formative Research. 9. e65721–e65721.

Hayn, Dieter, et al.. (2024). Use Cases Requiring Privacy-Preserving Record Linkage in Paediatric Oncology. Cancers. 16(15). 2696–2696. 2 indexed citations

Hayn, Dieter, et al.. (2021). Quantification of the Link between Timed Up-and-Go Test Subtasks and Contractile Muscle Properties. Sensors. 21(19). 6539–6539. 6 indexed citations

Hayn, Dieter, et al.. (2020). Quantitative falls risk assessment in elderly people: results from a clinical study with distance based timed up-and-go test recordings. Physiological Measurement. 41(11). 115006–115006. 4 indexed citations

Hayn, Dieter, et al.. (2020). Encoding of Numerical Data for Privacy-Preserving Record Linkage. Studies in health technology and informatics. 271. 23–30. 2 indexed citations

Baumgartner, Martin, et al.. (2020). Experimenting with Generative Adversarial Networks to Expand Sparse Physiological Time-Series Data. Studies in health technology and informatics. 271. 248–255. 2 indexed citations

10.

Hayn, Dieter, et al.. (2019). An Improvised Classification Model for Predicting Delirium. Studies in health technology and informatics. 264. 1566–1567. 6 indexed citations

11.

Kropf, Martin, Dieter Hayn, & G. Schreier. (2017). ECG Classification Based on Time and Frequency Domain Features Using Random Forrests. Computing in cardiology. 44. 50 indexed citations

12.

Welte, Stefan, Dieter Hayn, Lefteris Koumakis, et al.. (2015). Standardized data sharing in a paediatric oncology research network--a proof-of-concept study.. PubMed. 212. 27–34. 5 indexed citations

13.

Kropf, Martin, Robert Modre‐Osprian, G. Schreier, & Dieter Hayn. (2013). A robust algorithm for fetal QRS detection using non-invasive maternal abdomenal ECGs. Computing in Cardiology Conference. 313–316. 6 indexed citations

14.

Drobics, Mario, et al.. (2012). Weather influence on alarm occurrence in home telemonitoring of heart failure patients. Computing in Cardiology. 525–528. 1 indexed citations

15.

Hayn, Dieter, et al.. (2012). Edema detection for heart failure patients in home monitoring scenarios. Computing in Cardiology. 93–96. 3 indexed citations

16.

Hayn, Dieter, et al.. (2011). ECG quality assessment for patient empowerment in mHealth applications. Computing in Cardiology. 353–356. 34 indexed citations

17.

Drobics, Mario, et al.. (2010). Optimization of the alarm-management of a heart failure home-monitoring system. Computing in Cardiology. 53–56. 3 indexed citations

18.

Hayn, Dieter, et al.. (2009). A biosignal analysis system applied for developing an algorithm predicting critical situations of high risk cardiac patients by hemodynamic monitoring. 629–632. 5 indexed citations

19.

Hayn, Dieter, A. Kollmann, & G. Schreier. (2006). Automated QT interval measurement from multilead ECG signals. Computing in Cardiology Conference. 381–384. 11 indexed citations

20.

Hayn, Dieter, Douglas S. Scherr, P. Lercher, et al.. (2005). Automated prediction of spontaneous termination of atrial fibrillation from electrocardiograms. 117–120. 18 indexed citations

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.

Explore authors with similar magnitude of impact