V. Hájková

148 total papers · 3.0k total citations
37 papers, 397 citations indexed

About

V. Hájková is a scholar working on Radiation, Nuclear and High Energy Physics and Computational Mechanics. According to data from OpenAlex, V. Hájková has authored 37 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiation, 16 papers in Nuclear and High Energy Physics and 14 papers in Computational Mechanics. Recurrent topics in V. Hájková's work include Advanced X-ray Imaging Techniques (19 papers), Laser-Plasma Interactions and Diagnostics (16 papers) and Laser Material Processing Techniques (12 papers). V. Hájková is often cited by papers focused on Advanced X-ray Imaging Techniques (19 papers), Laser-Plasma Interactions and Diagnostics (16 papers) and Laser Material Processing Techniques (12 papers). V. Hájková collaborates with scholars based in Czechia, Germany and United States. V. Hájková's co-authors include L. Juha, J. Chalupský, T. Burian, J. Krzywiński, J. Gaudin, M. Störmer, S. Toleikis, Luděk Vyšín, R. Sobierajski and M. Jurek and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

V. Hájková

34 papers receiving 379 citations

Author Peers

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

Author Last Decade Papers Cites
V. Hájková 184 125 109 109 109 37 397
T. Burian 167 0.9× 106 0.8× 132 1.2× 108 1.0× 129 1.2× 49 416
R. Sobierajski 200 1.1× 117 0.9× 67 0.6× 140 1.3× 86 0.8× 37 381
T. McCarville 164 0.9× 53 0.4× 68 0.6× 94 0.9× 130 1.2× 18 336
K. Engelhorn 136 0.7× 83 0.7× 98 0.9× 50 0.5× 120 1.1× 19 392
Christian Peth 166 0.9× 75 0.6× 131 1.2× 116 1.1× 181 1.7× 30 432
V. E. Levashov 119 0.6× 46 0.4× 94 0.9× 89 0.8× 73 0.7× 24 361
Antonio Grilli 110 0.6× 33 0.3× 138 1.3× 80 0.7× 102 0.9× 45 372
P. Sondhauss 78 0.4× 84 0.7× 223 2.0× 59 0.5× 142 1.3× 30 433
T. Bigault 229 1.2× 55 0.4× 47 0.4× 56 0.5× 67 0.6× 34 394
F.J. Decker 141 0.8× 28 0.2× 42 0.4× 214 2.0× 182 1.7× 47 400

Countries citing papers authored by V. Hájková

Since Specialization
Citations

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

Fields of papers citing papers by V. Hájková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Hájková

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