Jaroslav Křivánek

97 papers receiving 1.9k citations

Peers

Jaroslav Křivánek
Comparison fields: 5 of 99
  • Computer Graphics and Computer-Aided Design 1.6k
  • Computer Vision and Pattern Recognition 1.5k
  • Computational Mechanics 675
  • Atomic and Molecular Physics, and Optics 204
  • Environmental Engineering 203
Replace Wenzel Jakob with:
Wenzel Jakob Switzerland
Wojciech Jarosz United States
Jan Novák United States
Yoshinori Dobashi Japan
Eihachiro Nakamae Japan
Alex Evans United Kingdom
Ping-Sing Tsai United States
Qunsheng Peng China
Christophe Schlick France
Kazufumi Kaneda Japan
Jaroslav Křivánek relative to Wenzel Jakob Switzerland Wenzel Jakob's profile →
Citations per field
00.5×1.5×1.9×
Wenzel Jakob · 1×
Citations per year

Countries citing papers authored by Jaroslav Křivánek

Since Specialization
Citations

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

Fields of papers citing papers by Jaroslav Křivánek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaroslav Křivánek

This figure shows the co-authorship network connecting the top 25 collaborators of Jaroslav Křivánek. A scholar is included among the top collaborators of Jaroslav Křivánek 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 Křivánek. Jaroslav Křivánek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 14
3 16
4 5
5 2
6 1
7 32
8 29
9 73
10 10
11 28
12 136
13 12
14 6
15 30
16 52
17 12
18 14
19 115
20 9

About Jaroslav Křivánek

Jaroslav Křivánek is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 101 papers that have together received 2.1k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (74 papers), Advanced Vision and Imaging (45 papers) and 3D Shape Modeling and Analysis (30 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.6k citations), Computer Vision and Pattern Recognition (1.5k citations) and Computational Mechanics (675 citations). Jaroslav Křivánek has collaborated with scholars based in Czechia, United States and Germany. Frequent co-authors include Sumanta Pattanaik, Kadi Bouatouch, Pascal Gautron, Iliyan Georgiev, Philipp Slusallek, Miloš Hašan, Tomáš Davidovič, Kavita Bala, Bruce Walter and Alexander Wilkie. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Optics Express and ACM Transactions on 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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