Ton Weijters

3.8k total citations · 1 hit paper
12 papers, 1.5k 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 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Management Information Systems and 4 papers in Information Systems. Recurrent topics in Ton Weijters's work include Neural Networks and Applications (3 papers), Business Process Modeling and Analysis (3 papers) and Natural Language Processing Techniques (3 papers). Ton Weijters is often cited by papers focused on Neural Networks and Applications (3 papers), Business Process Modeling and Analysis (3 papers) and Natural Language Processing Techniques (3 papers). Ton Weijters collaborates with scholars based in Netherlands, Japan and Belgium. 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, RJ Rob Kusters, J.J.M. Trienekens, J.C. Wortmann and Eric Postma 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

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Workflow mining: discovering process models from event logs

2004 1.3k citations Wil M. P. van der Aalst, Ton Weijters et al. IEEE Transactions on Knowledge and Data Engineering profile →

Peers

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

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

#	Work	Indexed citations
1	Improving Product Quality and Reliability with Customer Experience Data 2011 ·Quality and Reliability Engineering International ·Aarnout Brombacher, (unknown), Ashwin Ittoo, Yuan Lü, (unknown), Laura Măruşter, Joël Ribeiro, Ton Weijters, J.C. Wortmann	12
2	Toward objective software process information: experiences from a case study 2010 ·Software Quality Journal ·(unknown), RJ Rob Kusters, J.J.M. Trienekens, Ton Weijters, (unknown)	12
3	Workflow mining: discovering process models from event logs breakdown → 2004 ·IEEE Transactions on Knowledge and Data Engineering ·Wil M. P. van der Aalst, Ton Weijters, Laura Măruşter	1258
4	Logistic-based patient grouping for multi-disciplinary treatment 2002 ·Artificial Intelligence in Medicine ·Laura Măruşter, Ton Weijters, (unknown), Antal van den Bosch, Walter Daelemans	22
5	Speech synthesis with artificial neural networks 2002 ·IEEE International Conference on Neural Networks ·Ton Weijters, (unknown)	6
6	Genetic rule induction at an intermediate level 2002 ·Knowledge-Based Systems ·Ton Weijters, Jan Paredis	5
7	Automatic discovery of workflow models from hospital data 2001 ·Laura Măruşter, Wil M. P. van der Aalst, Ton Weijters, Antal van den Bosch, Walter Daelemans	1
8	Modularity in inductively-learned word pronunciation systems 1998 ·Research portal (Tilburg University) ·Antal van den Bosch, Ton Weijters, Walter Daelemans	5
9	Avoiding overfitting with BP-SOM 1997 ·Research portal (Tilburg University) ·Ton Weijters, H.J. van den Herik, Antal van den Bosch, Eric Postma	4
10	IGTree: Using Trees for Compression and Classification in Lazy Learning Algorithms 1997 ·Artificial Intelligence Review ·Walter Daelemans, Antal van den Bosch, Ton Weijters	106
11	When small disjuncts abound, try lazy learning: A case study 1997 ·Data Archiving and Networked Services (DANS) ·Antal van den Bosch, Ton Weijters, H.J. van den Herik, Walter Daelemans	23
12	Scaling effects with greedy and lazy machine-learning algorithms 1995 ·Antal van den Bosch, Ton Weijters, H.J. van den Herik	0

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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