Vít Kudrle

218 total papers · 1.2k total citations
78 papers, 954 citations indexed

About

Vít Kudrle is a scholar working on Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Materials Chemistry. According to data from OpenAlex, Vít Kudrle has authored 78 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Electrical and Electronic Engineering, 31 papers in Radiology, Nuclear Medicine and Imaging and 29 papers in Materials Chemistry. Recurrent topics in Vít Kudrle's work include Plasma Diagnostics and Applications (35 papers), Plasma Applications and Diagnostics (31 papers) and Graphene research and applications (12 papers). Vít Kudrle is often cited by papers focused on Plasma Diagnostics and Applications (35 papers), Plasma Applications and Diagnostics (31 papers) and Graphene research and applications (12 papers). Vít Kudrle collaborates with scholars based in Czechia, Germany and Netherlands. Vít Kudrle's co-authors include Jaroslav Hnilica, Petr Synek, Ondřej Jašek, Jan Voráč, Petr Vašina, Lenka Zajı́čková, Jan Schäfer, J Toman, Jana Jurmanová and Naděžda Pizúrová and has published in prestigious journals such as Applied Surface Science, Journal of Physics D Applied Physics and International Journal of Environmental Research and Public Health.

In The Last Decade

Vít Kudrle

77 papers receiving 913 citations

Author Peers

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

Author Last Decade Papers Cites
Vít Kudrle 533 460 345 144 117 78 954
Philippe Supiot 560 1.1× 353 0.8× 306 0.9× 146 1.0× 130 1.1× 74 1.1k
C. Noël 581 1.1× 359 0.8× 391 1.1× 181 1.3× 63 0.5× 62 977
Nikša Krstulović 407 0.8× 272 0.6× 383 1.1× 273 1.9× 48 0.4× 59 1.1k
Tatsuru Shirafuji 612 1.1× 395 0.9× 297 0.9× 96 0.7× 78 0.7× 84 913
Abhijit Majumdar 426 0.8× 227 0.5× 466 1.4× 112 0.8× 41 0.4× 53 921
O. Dessaux 371 0.7× 216 0.5× 354 1.0× 98 0.7× 91 0.8× 60 858
Shinobu Mukasa 644 1.2× 705 1.5× 471 1.4× 211 1.5× 30 0.3× 65 1.2k
P. Goudmand 363 0.7× 214 0.5× 349 1.0× 96 0.7× 86 0.7× 60 834
Hiromichi Toyota 632 1.2× 681 1.5× 446 1.3× 204 1.4× 30 0.3× 75 1.2k
Ionuț Topală 607 1.1× 656 1.4× 153 0.4× 159 1.1× 40 0.3× 56 1.0k

Countries citing papers authored by Vít Kudrle

Since Specialization
Citations

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

Fields of papers citing papers by Vít Kudrle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vít Kudrle

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