Ton Weijters

33 total papers · 3.8k total citations
12 papers, 1.4k citations indexed

About

Ton Weijters is a scholar working on Artificial Intelligence, Management Information Systems and Information Systems. According to data from OpenAlex, Ton Weijters has authored 12 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Management Information Systems and 4 papers in Information Systems. Recurrent topics in Ton Weijters's work include Business Process Modeling and Analysis (3 papers), Neural Networks and Applications (3 papers) and Natural Language Processing Techniques (3 papers). Ton Weijters is often cited by papers focused on Business Process Modeling and Analysis (3 papers), Neural Networks and Applications (3 papers) and Natural Language Processing Techniques (3 papers). Ton Weijters collaborates with scholars based in Netherlands, Belgium and Japan. Ton Weijters's co-authors include Laura Măruşter, Wil M. P. van der Aalst, Antal van den Bosch, Walter Daelemans, H.J. van den Herik, Jan Paredis, J.J.M. Trienekens, RJ Rob Kusters, Eric Postma and Yuan Lü and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Knowledge-Based Systems and Artificial Intelligence Review.

In The Last Decade

Ton Weijters

11 papers receiving 1.3k citations

Hit Papers

Workflow mining: discover... 2004 2026 2011 2018 2004 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Ton Weijters 1.1k 898 577 223 213 12 1.4k
Ana Karla Alves de Medeiros 1.4k 1.2× 1.0k 1.2× 499 0.9× 253 1.1× 175 0.8× 18 1.5k
A. Rozinat 1.4k 1.3× 1.1k 1.2× 444 0.8× 282 1.3× 236 1.1× 34 1.6k
Bartek Kiepuszewski 1.2k 1.1× 1.2k 1.4× 616 1.1× 113 0.5× 441 2.1× 10 1.6k
Massimiliano de Leoni 983 0.9× 703 0.8× 409 0.7× 183 0.8× 265 1.2× 72 1.3k
Mark F. Hornick 794 0.7× 735 0.8× 412 0.7× 120 0.5× 596 2.8× 18 1.4k
C. A. Petri 504 0.5× 374 0.4× 419 0.7× 202 0.9× 359 1.7× 13 1.7k
Jana Koehler 571 0.5× 799 0.9× 941 1.6× 79 0.4× 386 1.8× 51 1.5k
Jan Martijn E. M. van der Werf 528 0.5× 798 0.9× 403 0.7× 80 0.4× 170 0.8× 54 1.1k
Ming-Chien Shan 859 0.8× 982 1.1× 571 1.0× 85 0.4× 660 3.1× 69 1.5k
David Kinny 360 0.3× 352 0.4× 1.2k 2.1× 84 0.4× 407 1.9× 17 1.5k

Countries citing papers authored by Ton Weijters

Since Specialization
Citations

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

Fields of papers citing papers by Ton Weijters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ton Weijters

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