Jan Havlík

77 total papers · 420 total citations
26 papers, 233 citations indexed

About

Jan Havlík is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine and Computer Networks and Communications. According to data from OpenAlex, Jan Havlík has authored 26 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 9 papers in Cardiology and Cardiovascular Medicine and 5 papers in Computer Networks and Communications. Recurrent topics in Jan Havlík's work include Non-Invasive Vital Sign Monitoring (7 papers), Cardiovascular Health and Disease Prevention (4 papers) and Wireless Sensor Networks for Data Analysis (4 papers). Jan Havlík is often cited by papers focused on Non-Invasive Vital Sign Monitoring (7 papers), Cardiovascular Health and Disease Prevention (4 papers) and Wireless Sensor Networks for Data Analysis (4 papers). Jan Havlík collaborates with scholars based in Czechia, United States and Belgium. Jan Havlík's co-authors include Jan Štursa, Petr Cígler, Vladimíra Petráková, Václav Petrák, Jan Ráliš, Torsten Rendler, Rolf Reuter, Miloš Nesládek, Sang‐Yun Lee and Michal Gulka and has published in prestigious journals such as Nanoscale, IEEE Access and Sensors.

In The Last Decade

Jan Havlík

22 papers receiving 228 citations

Author Peers

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

Author Last Decade Papers Cites
Jan Havlík 159 82 34 33 29 26 233
Ning Wang 158 1.0× 62 0.8× 9 0.3× 15 0.5× 206 7.1× 16 323
Hewei Wang 71 0.4× 68 0.8× 43 1.3× 4 0.1× 13 0.4× 21 297
Ming‐Hua Yeh 200 1.3× 119 1.5× 31 0.9× 2 0.1× 14 0.5× 21 330
I. G. Dyachkova 55 0.3× 75 0.9× 16 0.5× 7 0.2× 9 0.3× 42 168
Susumu Fujimori 211 1.3× 78 1.0× 55 1.6× 3 0.1× 49 1.7× 28 331
T.M. Anklam 68 0.4× 52 0.6× 18 0.5× 12 0.4× 18 0.6× 20 162
Graham A. Rogerson 51 0.3× 145 1.8× 8 0.2× 16 0.5× 269 9.3× 30 327
Ke Zhang 94 0.6× 47 0.6× 27 0.8× 10 0.3× 7 0.2× 25 324
Mariana Fazio 83 0.5× 18 0.2× 60 1.8× 27 0.8× 63 2.2× 18 184
Andrey N. Smolyaninov 131 0.8× 103 1.3× 111 3.3× 36 1.1× 8 0.3× 28 257

Countries citing papers authored by Jan Havlík

Since Specialization
Citations

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

Fields of papers citing papers by Jan Havlík

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Havlík

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Havlík. A scholar is included among the top collaborators of Jan Havlík 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 Jan Havlík. Jan Havlík 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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