D. Kreiseler

2.0k citations
17 papers · 1.3k indexed · 2 hit papers · h-index 8

D. Kreiseler

13 papers receiving 1.3k citations

Hit Papers

PTB-XL, a large publicly avai...6162009202620142020200400600

Peers

D. Kreiseler
Comparison fields: 5 of 79
  • Cardiology and Cardiovascular Medicine 1.1k
  • Cognitive Neuroscience 633
  • Signal Processing 149
  • Biomedical Engineering 403
  • Health Informatics 12
Replace Lina Zhao with:
Lina Zhao China
Kayapanda Mandana India
Kailash Chandra Ray India
Jun Dong China
Junyuan Shang China
Sandeep Raj India
Arash Gharehbaghi Sweden
Samit Kumar Ghosh India
Tomás Teijeiro Switzerland
Mohammad Loni Sweden
D. Kreiseler relative to Lina Zhao China Lina Zhao's profile →
Citations per field
00.5×1.7×
Lina Zhao · 1×
Citations per year

Countries citing papers authored by D. Kreiseler

Since Specialization
Citations

This map shows the geographic impact of D. Kreiseler'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 D. Kreiseler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Kreiseler more than expected).

Fields of papers citing papers by D. Kreiseler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Kreiseler. 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 D. Kreiseler. The network helps show where D. Kreiseler may publish in the future.

Co-authorship network

The 22 scholars most cited alongside D. Kreiseler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Kreiseler Line = papers co-authored together D. Kreiseler links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
PTB-XL, a large publicly available electrocardiography datasetbreakdown →
2020616
2 20092
3 20090
4
Nutzung der EKG-Signaldatenbank CARDIODAT der PTB über das Internetbreakdown →
2009442
5 200913
6 20081
7 2007180
8 20050
9 20038
10 20020
11 20023
12 200210
13 200214
14 20003
15 199818
16 19982
17
[ECG signal analysis by pattern comparison and ECG databanks].
19981

About D. Kreiseler

D. Kreiseler is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Signal Processing and Infectious Diseases, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (14 papers), Cardiac electrophysiology and arrhythmias (7 papers), Cardiac Imaging and Diagnostics (4 papers), EEG and Brain-Computer Interfaces (3 papers), Heart Rate Variability and Autonomic Control (2 papers), Atomic and Subatomic Physics Research (1 paper), Non-Invasive Vital Sign Monitoring (1 paper) and Phonocardiography and Auscultation Techniques (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Cognitive Neuroscience (633 citations), Signal Processing (149 citations), Biomedical Engineering (403 citations) and Health Informatics (12 citations). D. Kreiseler has collaborated with scholars based in Germany and United Kingdom. Frequent co-authors include R. Bousseljot, Tobias Schaeffter, Fatima I. Lunze, Nils Strodthoff, Patrick Wagner, Wojciech Samek, Clemens Elster, Gerd Wübbeler, Manuel Stavridis and Florian Thiel. Their work appears in journals such as Review of Scientific Instruments, Pattern Recognition Letters, Scientific Data, Biomedizinische Technik/Biomedical Engineering and Herzschrittmachertherapie + Elektrophysiologie.

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.

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