Ivan Daskalov

878 citations
26 papers · 690 · h-index 13

Impact in

Papers in

Ivan Daskalov

26 papers receiving 647 citations

Peers

Ivan Daskalov
Comparison fields: 5 of 79
  • Cardiology and Cardiovascular Medicine 486
  • Cognitive Neuroscience 202
  • Biomedical Engineering 348
  • Signal Processing 80
  • Medical Laboratory Technology 5
Replace Vessela Krasteva with:
Vessela Krasteva Bulgaria
Jan A. van Alste Netherlands
Haitham M. Al-Angari United Arab Emirates
Yongfeng Yuan China
Jingshan Huang China
Martin Vítek Czechia
Syed Khairul Bashar United States
R. Hoekema Netherlands
Santanu Kumar Sahoo India
Binish Fatimah India
Ivan Daskalov relative to Vessela Krasteva Bulgaria Vessela Krasteva's profile →
Citations per field
00.5×1.5×
Vessela Krasteva · 1×
Citations per year

Countries citing papers authored by Ivan Daskalov

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Daskalov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Ivan Daskalov, 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 Ivan Daskalov Line = papers co-authored together Ivan Daskalov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005160
2 199997
3 199961
4 198459
5 200244
6 199938
7 199234
8 199933
9 200328
10 199619
11 199917
12 200316
13 200215
14 19859
15 19918
16 19968
17 19987
18 19987
19 19787
20 19977

About Ivan Daskalov

Ivan Daskalov is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Neurology, having authored 26 papers that have together received 690 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (12 papers), Non-Invasive Vital Sign Monitoring (5 papers), Muscle activation and electromyography studies (5 papers), Neuroscience and Neural Engineering (4 papers), Heart Rate Variability and Autonomic Control (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Transcranial Magnetic Stimulation Studies (3 papers) and Phonocardiography and Auscultation Techniques (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (486 citations), Cognitive Neuroscience (202 citations), Biomedical Engineering (348 citations), Signal Processing (80 citations) and Medical Laboratory Technology (5 citations). Ivan Daskalov has collaborated with scholars based in Bulgaria and United States. Frequent co-authors include Ivaylo Christov, Ivan Dotsinsky, Georgy Mihov, Vessela Krasteva, Atanas Gotchev, Karen Egiazarian, Feras Hatib, Boris I. Gramatikov and Irena Jekova. Their work appears in journals such as BioMedical Engineering OnLine, Medical & Biological Engineering & Computing, Physiological Measurement, Medical Engineering & Physics and Journal of Clinical Engineering.

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