P. Celka

20 papers receiving 329 citations

Peers

P. Celka
Comparison fields: 5 of 48
  • Cardiology and Cardiovascular Medicine 128
  • Control and Systems Engineering 97
  • Computational Mechanics 76
  • Signal Processing 39
  • Biomedical Engineering 157
Replace K. Stadlthanner with:
K. Stadlthanner Germany
Mahesh S. Chavan India
Ivan Daskalov Bulgaria
Georgy Mihov Bulgaria
JaeWook Shin South Korea
Stephen R. Alty United Kingdom
N. Kumaravel India
Iñaki Romero Netherlands
David Ayllón Spain
Pratik Singh India
P. Celka relative to K. Stadlthanner Germany K. Stadlthanner's profile →
Citations per field
00.5×4.8×
K. Stadlthanner · 1×
Citations per year

Countries citing papers authored by P. Celka

Since Specialization
Citations

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

Fields of papers citing papers by P. Celka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside P. Celka, 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 P. Celka Line = papers co-authored together P. Celka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201885
2 200548
3 199948
4 201943
5 200139
6 200016
7 200512
8 199810
9 20008
10 19998
11 20075
12 19984
13 19964
14
Stochastic Gradient Identification of Polynomial Wiener Systems: Analysis and Application
20013
15 20013
16
Analysis of the relationship between muscle sympathetic nerve activity and blood pressure in humans using linear and nonlinear modelization
19962
17 19952
18 20202
19
Analysis of the relationships between muscle sympathetic nerve activity and blood pressure signals using subband multiinput modeling
19961
20 20141

About P. Celka

P. Celka is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine, Control and Systems Engineering, Computational Mechanics and Civil and Structural Engineering, having authored 23 papers that have together received 344 indexed citations. Recurring topics across this work include Control Systems and Identification (8 papers), Heart Rate Variability and Autonomic Control (8 papers), Non-Invasive Vital Sign Monitoring (8 papers), Advanced Adaptive Filtering Techniques (7 papers), Structural Health Monitoring Techniques (3 papers), EEG and Brain-Computer Interfaces (3 papers), Image and Signal Denoising Methods (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (128 citations), Control and Systems Engineering (97 citations), Computational Mechanics (76 citations), Signal Processing (39 citations) and Biomedical Engineering (157 citations). P. Celka has collaborated with scholars based in Switzerland, United States and Australia. Frequent co-authors include N.J. Bershad, Jean-Marc Vésin, Jordi Alastruey, Bushra Farukh, Peter Charlton, Phil Chowienczyk, Rolf Vetter, Philippe Renevey, Urs Scherrer and Étienne Pruvot. Their work appears in journals such as IEEE Transactions on Signal Processing, Methods of Information in Medicine, IEEE Transactions on Microwave Theory and Techniques, Physiological Measurement and Annals of Biomedical 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.

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