Václav Skala

257 total papers · 1.9k total citations
145 papers, 1.0k citations indexed

About

Václav Skala is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Václav Skala has authored 145 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Computer Graphics and Computer-Aided Design, 74 papers in Computational Mechanics and 62 papers in Computer Vision and Pattern Recognition. Recurrent topics in Václav Skala's work include Computer Graphics and Visualization Techniques (53 papers), Advanced Numerical Analysis Techniques (51 papers) and Computational Geometry and Mesh Generation (43 papers). Václav Skala is often cited by papers focused on Computer Graphics and Visualization Techniques (53 papers), Advanced Numerical Analysis Techniques (51 papers) and Computational Geometry and Mesh Generation (43 papers). Václav Skala collaborates with scholars based in Czechia, China and Malaysia. Václav Skala's co-authors include Libor Váša, Martin Čermák, Samsul Ariffin Abdul Karim, Azizan Saaban, Jörg Haber, Irene Albrecht, Hans‐Peter Seidel, Dumitru Bǎleanu, Abdul Ghaffar and Kottakkaran Sooppy Nisar and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Computers & Geosciences.

In The Last Decade

Václav Skala

124 papers receiving 967 citations

Author Peers

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

Author Last Decade Papers Cites
Václav Skala 458 448 409 101 80 145 1.0k
Feng Sun 450 1.0× 480 1.1× 252 0.6× 68 0.7× 21 0.3× 72 1.1k
Kenjiro T. Miura 492 1.1× 306 0.7× 351 0.9× 24 0.2× 33 0.4× 150 971
Filip Sadlo 343 0.7× 503 1.1× 490 1.2× 29 0.3× 79 1.0× 77 983
Edgar A. Ramos 395 0.9× 636 1.4× 296 0.7× 33 0.3× 142 1.8× 64 970
Hartmut Prautzsch 849 1.9× 345 0.8× 250 0.6× 60 0.6× 32 0.4× 45 1.2k
Stefan Jeschke 326 0.7× 410 0.9× 399 1.0× 31 0.3× 31 0.4× 40 805
Edward Angel 193 0.4× 190 0.4× 330 0.8× 30 0.3× 81 1.0× 54 960
Alireza Entezari 261 0.6× 202 0.5× 459 1.1× 75 0.7× 37 0.5× 73 864
George Turkiyyah 321 0.7× 217 0.5× 203 0.5× 49 0.5× 13 0.2× 85 1.1k
Tobias Günther 335 0.7× 297 0.7× 350 0.9× 20 0.2× 43 0.5× 98 1.1k

Countries citing papers authored by Václav Skala

Since Specialization
Citations

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

Fields of papers citing papers by Václav Skala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Václav Skala

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