Joost van Beusekom

514 total citations
20 papers, 248 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 248 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 Retrieval and Classification Techniques (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 Retrieval and Classification Techniques (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, Thomas Strecker and Şahin Albayrak 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 228 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joost van Beusekom Germany 9 232 32 28 22 10 20 248
Véronique Églin France 8 170 0.7× 28 0.9× 29 1.0× 7 0.3× 9 0.9× 22 195
Bertrand Coüasnon France 10 186 0.8× 28 0.9× 41 1.5× 15 0.7× 30 3.0× 27 206
Deli Yu China 3 186 0.8× 53 1.7× 79 2.8× 31 1.4× 16 1.6× 5 236
Fouad Slimane Switzerland 11 334 1.4× 109 3.4× 120 4.3× 15 0.7× 12 1.2× 25 351
Alexander Herrigel Switzerland 7 265 1.1× 6 0.2× 23 0.8× 23 1.0× 35 3.5× 16 292
Monalisa Sahu India 9 250 1.1× 14 0.4× 27 1.0× 26 1.2× 15 1.5× 9 283
Kaiser J. Giri India 8 131 0.6× 22 0.7× 32 1.1× 11 0.5× 19 1.9× 30 182
Apurva A. Desai India 9 227 1.0× 165 5.2× 91 3.3× 6 0.3× 5 0.5× 30 277
Souvik Bhattacharyya India 10 272 1.2× 23 0.7× 63 2.3× 25 1.1× 26 2.6× 32 290
Cheng-Ta Huang Taiwan 10 338 1.5× 20 0.6× 33 1.2× 52 2.4× 56 5.6× 41 391

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

20 of 20 papers shown
1.
Beusekom, Joost van, Faisal Shafait, & Thomas M. Breuel. (2012). Automatic authentication of color laser print-outs using machine identification codes. Pattern Analysis and Applications. 16(4). 663–678. 21 indexed citations
2.
Beusekom, Joost van, Faisal Shafait, & Thomas M. Breuel. (2012). Text-line examination for document forgery detection. International Journal on Document Analysis and Recognition (IJDAR). 16(2). 189–207. 29 indexed citations
3.
Beusekom, Joost van & Faisal Shafait. (2011). Distortion Measurement for Automatic Document Verification. UWA Profiles and Research Repository (UWA). 289–293. 13 indexed citations
4.
Beusekom, Joost van, et al.. (2011). Stamp Detection in Color Document Images. 1125–1129. 22 indexed citations
5.
Beusekom, Joost van, Marco Schreyer, & Thomas M. Breuel. (2010). Automatic counterfeit protection system code classification. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7541. 75410F–75410F. 6 indexed citations
6.
Beusekom, Joost van, Faisal Shafait, & Thomas M. Breuel. (2010). Document inspection using text-line alignment. UWA Profiles and Research Repository (University of Western Australia). 263–270. 6 indexed citations
7.
Beusekom, Joost van, et al.. (2010). Font group identification using reconstructed fonts. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7874. 78740N–78740N. 2 indexed citations
8.
Beusekom, Joost van, et al.. (2010). Unsupervised font reconstruction based on token co-occurrence. UWA Profiles and Research Repository (UWA). 143–150. 3 indexed citations
9.
Beusekom, Joost van, Faisal Shafait, & Thomas M. Breuel. (2010). Combined orientation and skew detection using geometric text-line modeling. International Journal on Document Analysis and Recognition (IJDAR). 13(2). 79–92. 19 indexed citations
10.
Beusekom, Joost van, et al.. (2009). Trainable multiscript orientation detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7534. 75340W–75340W. 1 indexed citations
11.
Strecker, Thomas, Joost van Beusekom, Şahin Albayrak, & Thomas M. Breuel. (2009). Automated Ground Truth Data Generation for Newspaper Document Images. 4729. 1275–1279. 5 indexed citations
12.
13.
Shafait, Faisal, et al.. (2009). Recognition Driven Page Orientation Detection. UWA Profiles and Research Repository (UWA). 2. 1989–1992. 1 indexed citations
14.
Beusekom, Joost van, Faisal Shafait, & Thomas M. Breuel. (2008). Resolution independent skew and orientation detection for document images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7247. 72470K–72470K. 15 indexed citations
15.
Shafait, Faisal, Joost van Beusekom, Daniel Keysers, & Thomas M. Breuel. (2008). Background variability modeling for statistical layout analysis. Proceedings - International Conference on Pattern Recognition. 1–4. 8 indexed citations
16.
Shafait, Faisal, Joost van Beusekom, Daniel Keysers, & Thomas M. Breuel. (2008). Structural Mixtures for Statistical Layout Analysis. UWA Profiles and Research Repository (University of Western Australia). 415–422. 8 indexed citations
17.
Beusekom, Joost van, Faisal Shafait, & Thomas M. Breuel. (2008). Automated OCR Ground Truth Generation. UWA Profiles and Research Repository (UWA). 111–117. 14 indexed citations
18.
Shafait, Faisal, Joost van Beusekom, Daniel Keysers, & Thomas M. Breuel. (2008). Document cleanup using page frame detection. International Journal on Document Analysis and Recognition (IJDAR). 11(2). 81–96. 40 indexed citations
19.
Beusekom, Joost van, Daniel Keysers, Faisal Shafait, & Thomas M. Breuel. (2007). Example-Based Logical Labeling of Document Title Page Images. Proceedings of the International Conference on Document Analysis and Recognition. 919–923. 8 indexed citations
20.
Beusekom, Joost van, Daniel Keysers, Faisal Shafait, & Thomas M. Breuel. (2006). Distance Measures for Layout-Based Document Image Retrieval. 232–242. 26 indexed citations

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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