Jakub Parák

29 total papers · 587 total citations
18 papers, 371 citations indexed

About

Jakub Parák is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jakub Parák has authored 18 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 13 papers in Cardiology and Cardiovascular Medicine and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jakub Parák's work include Non-Invasive Vital Sign Monitoring (14 papers), Heart Rate Variability and Autonomic Control (10 papers) and ECG Monitoring and Analysis (6 papers). Jakub Parák is often cited by papers focused on Non-Invasive Vital Sign Monitoring (14 papers), Heart Rate Variability and Autonomic Control (10 papers) and ECG Monitoring and Analysis (6 papers). Jakub Parák collaborates with scholars based in Finland, Czechia and Switzerland. Jakub Parák's co-authors include Ilkka Korhonen, Ricard Delgado-Gonzalo, Philippe Renevey, Mattia Bertschi, Antti Vehkaoja, Arvi Yli‐Hankala, Tero Myllymäki, Jan Havlík, Mika Saaranen and T. Aaltonen and has published in prestigious journals such as Sensors, IEEE Journal of Biomedical and Health Informatics and Physiological Measurement.

In The Last Decade

Jakub Parák

17 papers receiving 352 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jakub Parák	249	240	69	64	43	18	371
D. Arndt	195 0.8×	111 0.5×	64 0.9×	69 1.1×	42 1.0×	21	403
Mattia Bertschi	164 0.7×	197 0.8×	86 1.2×	29 0.5×	34 0.8×	24	347
Rahel Gilgen-Ammann	159 0.6×	141 0.6×	30 0.4×	74 1.2×	31 0.7×	12	376
Wan-An Lu	259 1.0×	142 0.6×	33 0.5×	143 2.2×	23 0.5×	25	430
Damien Saboul	178 0.7×	142 0.6×	42 0.6×	155 2.4×	25 0.6×	14	384
Muhammad Etiwy	239 1.0×	180 0.8×	82 1.2×	93 1.5×	13 0.3×	10	393
Gabriele B. Papini	151 0.6×	186 0.8×	67 1.0×	31 0.5×	35 0.8×	22	334
L. Biancardi	276 1.1×	157 0.7×	33 0.5×	89 1.4×	34 0.8×	16	385
Aravind Natarajan	148 0.6×	150 0.6×	28 0.4×	27 0.4×	21 0.5×	8	340
J. Santhosh	215 0.9×	194 0.8×	63 0.9×	18 0.3×	51 1.2×	14	362

Countries citing papers authored by Jakub Parák

Since Specialization

Citations

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

Fields of papers citing papers by Jakub Parák

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakub Parák

This figure shows the co-authorship network connecting the top 25 collaborators of Jakub Parák. A scholar is included among the top collaborators of Jakub Parák 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 Jakub Parák. Jakub Parák is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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