Markus Kettunen

31 total papers · 475 total citations
19 papers, 297 citations indexed

About

Markus Kettunen is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence. According to data from OpenAlex, Markus Kettunen has authored 19 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Computer Graphics and Computer-Aided Design and 4 papers in Artificial Intelligence. Recurrent topics in Markus Kettunen's work include Advanced Vision and Imaging (11 papers), Computer Graphics and Visualization Techniques (7 papers) and Image Enhancement Techniques (5 papers). Markus Kettunen is often cited by papers focused on Advanced Vision and Imaging (11 papers), Computer Graphics and Visualization Techniques (7 papers) and Image Enhancement Techniques (5 papers). Markus Kettunen collaborates with scholars based in United States, Finland and Switzerland. Markus Kettunen's co-authors include Jaakko Lehtinen, Matthias Zwicker, Frédo Durand, Miika Aittala, Sirkka‐Liisa Jämsä‐Jounela, Jacopo Pantaleoni, Erik Härkönen, Petri Selonen, Ping Zhang and Matt Pharr and has published in prestigious journals such as Industrial & Engineering Chemistry Research, ACM Transactions on Graphics and Computers & Chemical Engineering.

In The Last Decade

Markus Kettunen

18 papers receiving 272 citations

Author Peers

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

Author Last Decade Papers Cites
Markus Kettunen 209 165 42 34 26 19 297
Д. В. Иванов 131 0.6× 70 0.4× 48 1.1× 19 0.6× 29 1.1× 27 214
James Hegarty 127 0.6× 76 0.5× 42 1.0× 13 0.4× 21 0.8× 20 347
Gregory Abram 172 0.8× 182 1.1× 67 1.6× 9 0.3× 5 0.2× 15 289
Markus Billeter 169 0.8× 130 0.8× 60 1.4× 9 0.3× 8 0.3× 21 301
Justin Hensley 230 1.1× 191 1.2× 84 2.0× 6 0.2× 8 0.3× 14 344
Stefan Hauswiesner 195 0.9× 91 0.6× 96 2.3× 28 0.8× 5 0.2× 18 281
Davide Eynard 107 0.5× 43 0.3× 62 1.5× 5 0.1× 36 1.4× 16 226
Jiamin Bai 324 1.6× 87 0.5× 20 0.5× 15 0.4× 18 0.7× 15 361
Thanh-Tung Cao 142 0.7× 165 1.0× 67 1.6× 5 0.1× 5 0.2× 16 299
Ligong Han 202 1.0× 47 0.3× 14 0.3× 13 0.4× 4 0.2× 19 270

Countries citing papers authored by Markus Kettunen

Since Specialization
Citations

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

Fields of papers citing papers by Markus Kettunen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Kettunen

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