Piotr Didyk

116 total papers · 2.2k total citations
72 papers, 1.5k citations indexed

About

Piotr Didyk is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cognitive Neuroscience. According to data from OpenAlex, Piotr Didyk has authored 72 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 32 papers in Media Technology and 24 papers in Cognitive Neuroscience. Recurrent topics in Piotr Didyk's work include Advanced Vision and Imaging (34 papers), Advanced Optical Imaging Technologies (31 papers) and Visual perception and processing mechanisms (19 papers). Piotr Didyk is often cited by papers focused on Advanced Vision and Imaging (34 papers), Advanced Optical Imaging Technologies (31 papers) and Visual perception and processing mechanisms (19 papers). Piotr Didyk collaborates with scholars based in Germany, Switzerland and United States. Piotr Didyk's co-authors include Karol Myszkowski, Hans‐Peter Seidel, Tobias Ritschel, Elmar Eisemann, Wojciech Matusik, Okan Tarhan Tursun, Petr Kellnhofer, David I. W. Levin, Pitchaya Sitthi‐Amorn and Belén Masiá and has published in prestigious journals such as Scientific Reports, ACM Transactions on Graphics and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Piotr Didyk

71 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Piotr Didyk 1.0k 595 379 349 328 72 1.5k
Daisuke Iwai 1.0k 1.0× 434 0.7× 763 2.0× 420 1.2× 208 0.6× 144 1.8k
Takeshi Naemura 1.4k 1.4× 584 1.0× 552 1.5× 265 0.8× 224 0.7× 250 2.2k
Aditi Majumder 1.0k 1.0× 549 0.9× 653 1.7× 165 0.5× 412 1.3× 97 1.5k
Micah K. Johnson 1.8k 1.8× 386 0.6× 94 0.2× 296 0.8× 322 1.0× 30 2.2k
Ian E. McDowall 777 0.8× 700 1.2× 590 1.6× 205 0.6× 229 0.7× 47 1.4k
Belén Masiá 1.2k 1.2× 413 0.7× 238 0.6× 226 0.6× 162 0.5× 73 1.8k
John Aloimonos 1.5k 1.5× 311 0.5× 62 0.2× 193 0.6× 132 0.4× 43 1.8k
Frank Van Reeth 1.1k 1.1× 529 0.9× 156 0.4× 72 0.2× 376 1.1× 84 1.5k
Andrei State 1.1k 1.1× 196 0.3× 603 1.6× 131 0.4× 288 0.9× 59 1.6k
Chongyang Ma 1.7k 1.7× 195 0.3× 183 0.5× 149 0.4× 627 1.9× 73 2.2k

Countries citing papers authored by Piotr Didyk

Since Specialization
Citations

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

Fields of papers citing papers by Piotr Didyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piotr Didyk

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