Toon Goedemé

217 total papers · 3.3k total citations
122 papers, 1.9k citations indexed

About

Toon Goedemé is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Toon Goedemé has authored 122 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Computer Vision and Pattern Recognition, 24 papers in Aerospace Engineering and 18 papers in Artificial Intelligence. Recurrent topics in Toon Goedemé's work include Video Surveillance and Tracking Methods (27 papers), Advanced Neural Network Applications (24 papers) and Advanced Image and Video Retrieval Techniques (23 papers). Toon Goedemé is often cited by papers focused on Video Surveillance and Tracking Methods (27 papers), Advanced Neural Network Applications (24 papers) and Advanced Image and Video Retrieval Techniques (23 papers). Toon Goedemé collaborates with scholars based in Belgium, Netherlands and Spain. Toon Goedemé's co-authors include Wiebe Van Ranst, Tinne Tuytelaars, Luc Van Gool, Kristof Van Beeck, Marnix Nuttin, Geert Brône, Jef Peeters, Dillam Jossue Díaz‐Romero, Wim Dewulf and Dirk Stroobandt and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemosphere and IEEE Access.

In The Last Decade

Toon Goedemé

113 papers receiving 1.8k citations

Hit Papers

Fooling automated surveil... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Toon Goedemé 1.0k 569 436 193 165 122 1.9k
Qi Zhao 1.4k 1.3× 476 0.8× 410 0.9× 329 1.7× 302 1.8× 79 2.7k
Dah-Jye Lee 993 1.0× 281 0.5× 293 0.7× 243 1.3× 87 0.5× 147 2.2k
Eijiro Takeuchi 1.0k 1.0× 992 1.7× 186 0.4× 278 1.4× 151 0.9× 98 2.2k
Karsten Berns 665 0.6× 428 0.8× 265 0.6× 149 0.8× 108 0.7× 270 2.2k
Xu Wang 1.1k 1.1× 419 0.7× 188 0.4× 232 1.2× 155 0.9× 56 2.0k
Linga Reddy Cenkeramaddi 392 0.4× 539 0.9× 379 0.9× 624 3.2× 311 1.9× 197 2.1k
Bin Liu 1.0k 1.0× 217 0.4× 362 0.8× 358 1.9× 348 2.1× 161 2.5k
Kichun Jo 790 0.8× 569 1.0× 285 0.7× 383 2.0× 92 0.6× 91 2.1k
Zhaodan Kong 652 0.6× 566 1.0× 316 0.7× 58 0.3× 229 1.4× 71 1.5k
Stefano Caselli 613 0.6× 370 0.7× 199 0.5× 62 0.3× 102 0.6× 121 1.5k

Countries citing papers authored by Toon Goedemé

Since Specialization
Citations

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

Fields of papers citing papers by Toon Goedemé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toon Goedemé

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