Daniel Sýkora

38 papers and 812 indexed citations i.

About

Daniel Sýkora is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Daniel Sýkora has authored 38 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 25 papers in Computer Graphics and Computer-Aided Design and 17 papers in Computational Mechanics. Recurrent topics in Daniel Sýkora’s work include Computer Graphics and Visualization Techniques (25 papers), Advanced Vision and Imaging (20 papers) and 3D Shape Modeling and Analysis (14 papers). Daniel Sýkora is often cited by papers focused on Computer Graphics and Visualization Techniques (25 papers), Advanced Vision and Imaging (20 papers) and 3D Shape Modeling and Analysis (14 papers). Daniel Sýkora collaborates with scholars based in Czechia, United States and Switzerland. Daniel Sýkora's co-authors include Ondřej Jamriška, Jakub Fišer, Eli Shechtman, Jingwan Lu, John Dingliana, Paul Asente, Jiřı́ Žára, Michal Lukáč, Steven Collins and Andreas Hornung and has published in prestigious journals such as ACM Transactions on Graphics, Image and Vision Computing and Computer Graphics Forum.

In The Last Decade

Co-authorship network of co-authors of Daniel Sýkora i

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.

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).

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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