Daniel Sýkora

1.6k citations
49 papers · 1.1k indexed · h-index 20

Impact in

Papers in

Daniel Sýkora

48 papers receiving 1.1k citations

Peers

Daniel Sýkora
Comparison fields: 5 of 69
  • Computer Graphics and Computer-Aided Design 571
  • Computer Vision and Pattern Recognition 895
  • Computational Mechanics 415
  • Geology 46
  • Human-Computer Interaction 41
Replace Wan‐Chun Ma with:
Wan‐Chun Ma United States
Enric Corona Spain
Gabriel Schwartz United States
Zhouhui Lian China
Jiřı́ Žára Czechia
Steve Sullivan United States
Ayush Tewari Germany
Menglei Chai United States
Qing Shuai China
Eric R. Chan United States
Daniel Sýkora relative to Wan‐Chun Ma United States Wan‐Chun Ma's profile →
Citations per field
00.5×3.2×
Wan‐Chun Ma · 1×
Citations per year

Countries citing papers authored by Daniel Sýkora

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Sýkora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Sýkora, 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 Daniel Sýkora Line = papers co-authored together Daniel Sýkora links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200992
2 201671
3 200970
4 201469
5 200469
6 201955
7 201053
8 201248
9 201747
10 201539
11 201234
12 200531
13 202030
14 201127
15 201327
16 201426
17 201526
18 201125
19 201122
20 201121

About Daniel Sýkora

Daniel Sýkora is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Control and Systems Engineering and Instrumentation, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (29 papers), Advanced Vision and Imaging (27 papers), 3D Shape Modeling and Analysis (17 papers), Generative Adversarial Networks and Image Synthesis (10 papers), Human Motion and Animation (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Optical measurement and interference techniques (6 papers) and Advanced Numerical Analysis Techniques (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (571 citations), Computer Vision and Pattern Recognition (895 citations), Computational Mechanics (415 citations), Geology (46 citations) and Human-Computer Interaction (41 citations). Daniel Sýkora has collaborated with scholars based in Czechia, United States and Switzerland. Frequent co-authors include John Dingliana, Ondřej Jamriška, Steven Collins, Jiřı́ Žára, Jakub Fišer, Eli Shechtman, Jingwan Lu, Paul Asente, Michal Lukáč and Brian Whited. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, Computers & Graphics, Image and Vision Computing and The Visual Computer.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026