Joost van Beusekom

37 total papers · 514 total citations
20 papers, 247 citations indexed

About

Joost van Beusekom is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Joost van Beusekom has authored 20 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 2 papers in Information Systems and 1 paper in Artificial Intelligence. Recurrent topics in Joost van Beusekom's work include Handwritten Text Recognition Techniques (17 papers), Image and Object Detection Techniques (8 papers) and Image Processing and 3D Reconstruction (7 papers). Joost van Beusekom is often cited by papers focused on Handwritten Text Recognition Techniques (17 papers), Image and Object Detection Techniques (8 papers) and Image Processing and 3D Reconstruction (7 papers). Joost van Beusekom collaborates with scholars based in Germany, Denmark and Poland. Joost van Beusekom's co-authors include Faisal Shafait, Thomas M. Breuel, Daniel Keysers, Marco Schreyer, Şahin Albayrak and Thomas Strecker and has published in prestigious journals such as Pattern Analysis and Applications, International Journal on Document Analysis and Recognition (IJDAR) and UWA Profiles and Research Repository (UWA).

In The Last Decade

Joost van Beusekom

20 papers receiving 227 citations

Author Peers

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

Author Last Decade Papers Cites
Joost van Beusekom 231 32 28 21 10 20 247
Véronique Églin 173 0.7× 28 0.9× 29 1.0× 7 0.3× 9 0.9× 23 199
Bertrand Coüasnon 289 1.3× 47 1.5× 76 2.7× 28 1.3× 34 3.4× 29 326
Jiangying Zhou 242 1.0× 27 0.8× 74 2.6× 29 1.4× 21 2.1× 23 276
C. Strouthopoulos 302 1.3× 67 2.1× 41 1.5× 10 0.5× 6 0.6× 16 329
V. Seenivasagam 125 0.5× 33 1.0× 53 1.9× 35 1.7× 14 1.4× 18 234
Shuren Qi 217 0.9× 61 1.9× 34 1.2× 15 0.7× 13 1.3× 21 256
Nabil A. Lashin 246 1.1× 67 2.1× 25 0.9× 19 0.9× 21 2.1× 17 276
Jiang Yu 254 1.1× 10 0.3× 59 2.1× 18 0.9× 18 1.8× 27 318
Ayesha Siddiqa 236 1.0× 16 0.5× 55 2.0× 16 0.8× 30 3.0× 21 302
Jing Wang 213 0.9× 48 1.5× 77 2.8× 7 0.3× 10 1.0× 21 242

Countries citing papers authored by Joost van Beusekom

Since Specialization
Citations

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

Fields of papers citing papers by Joost van Beusekom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joost van Beusekom. 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 Joost van Beusekom. The network helps show where Joost van Beusekom may publish in the future.

Co-authorship network of co-authors of Joost van Beusekom

This figure shows the co-authorship network connecting the top 25 collaborators of Joost van Beusekom. A scholar is included among the top collaborators of Joost van Beusekom 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 Joost van Beusekom. Joost van Beusekom 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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