Jaroslav Procházka

131 total papers · 973 total citations
69 papers, 742 citations indexed

About

Jaroslav Procházka is a scholar working on Biomedical Engineering, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Jaroslav Procházka has authored 69 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Biomedical Engineering, 19 papers in Mechanical Engineering and 16 papers in Computational Mechanics. Recurrent topics in Jaroslav Procházka's work include Fluid Dynamics and Mixing (12 papers), Minerals Flotation and Separation Techniques (9 papers) and Analytical Chemistry and Chromatography (9 papers). Jaroslav Procházka is often cited by papers focused on Fluid Dynamics and Mixing (12 papers), Minerals Flotation and Separation Techniques (9 papers) and Analytical Chemistry and Chromatography (9 papers). Jaroslav Procházka collaborates with scholars based in Czechia and Canada. Jaroslav Procházka's co-authors include J. Landau, Helena Sovová, Vladislav Bízek, V. Jiřičný, J. Horáček, Pavel Novotný, Radmila Tomovská, František Wald, Alena Kohoutková and Petr Ponížil and has published in prestigious journals such as Industrial & Engineering Chemistry Research, Chemical Engineering Science and Engineering Structures.

In The Last Decade

Jaroslav Procházka

65 papers receiving 707 citations

Author Peers

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

Author						Papers	Cites
Jaroslav Procházka	377	328	178	133	108	69	742
J. M. Navaza	514 1.4×	306 0.9×	81 0.5×	60 0.5×	127 1.2×	61	903
A. I. Johnson	390 1.0×	115 0.4×	107 0.6×	122 0.9×	107 1.0×	56	811
P. S. T. Sai	242 0.6×	287 0.9×	77 0.4×	92 0.7×	51 0.5×	56	769
Hossein Bahmanyar	596 1.6×	236 0.7×	34 0.2×	114 0.9×	138 1.3×	61	889
Hiroshi Yoshitome	249 0.7×	444 1.4×	52 0.3×	42 0.3×	153 1.4×	55	722
G. Standart	337 0.9×	165 0.5×	56 0.3×	200 1.5×	27 0.3×	38	743
J. de Graauw	274 0.7×	226 0.7×	27 0.2×	238 1.8×	84 0.8×	33	708
Katsuroku Takahashi	357 0.9×	467 1.4×	29 0.2×	37 0.3×	179 1.7×	66	808
H.R.C. Pratt	467 1.2×	134 0.4×	32 0.2×	79 0.6×	131 1.2×	50	695
Harry T. Cullinan	432 1.1×	77 0.2×	69 0.4×	90 0.7×	33 0.3×	43	807

Countries citing papers authored by Jaroslav Procházka

Since Specialization

Citations

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

Fields of papers citing papers by Jaroslav Procházka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaroslav Procházka

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