Libor Váša

647 citations
35 papers · 433 · h-index 11

Impact in

Papers in

Libor Váša

32 papers receiving 420 citations

Peers

Libor Váša
Comparison fields: 5 of 47
  • Computer Graphics and Computer-Aided Design 266
  • Computer Vision and Pattern Recognition 299
  • Computational Mechanics 217
  • Signal Processing 57
  • Geology 25
Replace Maryann Simmons with:
Maryann Simmons United States
Christopher DeCoro United States
Edgar Tretschk Germany
Shi-Min Hu China
Shangzhe Wu United Kingdom
S. Coorg United States
Rodrigo Ortiz-Cayon United Kingdom
Michael Zollhoefer United States
Diego Macrini Canada
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Citations per field
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Citations per year

Countries citing papers authored by Libor Váša

Since Specialization
Citations

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

Fields of papers citing papers by Libor Váša

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Libor Váša, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Libor Váša Line = papers co-authored together Libor Váša links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201371
2 201259
3 201547
4 200742
5 200934
6 201426
7 201022
8 201314
9 202114
10 200813
11 202110
12 201610
13 20119
14 20118
15 20148
16 20206
17 20166
18 20146
19 20195
20 20215

About Libor Váša

Libor Váša is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics, Computer Vision and Pattern Recognition, Control and Systems Engineering and Signal Processing, having authored 35 papers that have together received 433 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (24 papers), 3D Shape Modeling and Analysis (20 papers), Advanced Vision and Imaging (11 papers), Computational Geometry and Mesh Generation (7 papers), Advanced Numerical Analysis Techniques (6 papers), Robotics and Sensor-Based Localization (4 papers), Video Coding and Compression Technologies (4 papers) and Human Motion and Animation (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (266 citations), Computer Vision and Pattern Recognition (299 citations), Computational Mechanics (217 citations), Signal Processing (57 citations) and Geology (25 citations). Libor Váša has collaborated with scholars based in Czechia, Germany and Switzerland. Frequent co-authors include Václav Skala, Guillaume Lavoué, Guido Brunnett, Kai Wang, Massimiliano Corsini, Mohamed–Chaker Larabi, Stefano Marras, Kai Hormann, Ivana Kolingerová and Gerasimos Arvanitis. Their work appears in journals such as Computer Graphics Forum, The Visual Computer, IEEE Transactions on Visualization and Computer Graphics, Graphical Models and Computers & Graphics.

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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