Tom Croonenborghs

1.3k citations
41 papers · 478 · h-index 13

Impact in

Papers in

Tom Croonenborghs

33 papers receiving 452 citations

Peers

Tom Croonenborghs
Comparison fields: 5 of 111
  • Physical Therapy, Sports Therapy and Rehabilitation 36
  • Computer Vision and Pattern Recognition 138
  • Immunology 80
  • Artificial Intelligence 108
  • Cognitive Neuroscience 56
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Countries citing papers authored by Tom Croonenborghs

Since Specialization
Citations

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

Fields of papers citing papers by Tom Croonenborghs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tom Croonenborghs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tom Croonenborghs Line = papers co-authored together Tom Croonenborghs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201796
2 201352
3 201637
4 201634
5
Automatic in-door fall detection based on microwave radar measurements
201232
6 201729
7 201326
8
Online learning and exploiting relational models in reinforcement learning
200719
9 201419
10 202116
11
Bayes-relational learning of opponent models from incomplete information in no-limit poker
200815
12 201612
13 201712
14 20169
15
Transfer learning for reinforcement learning through goal and policy parametrization
20068
16 20177
17
Towards Informed Reinforcement Learning
20046
18
Learning a transfer function for reinforcement learning problems
20084
19
Model-assisted approaches for relational reinforcement learning: Some challenges for the SRL community
20064
20 20154

About Tom Croonenborghs

Tom Croonenborghs is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Physical Therapy, Sports Therapy and Rehabilitation and Surgery, having authored 41 papers that have together received 478 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (11 papers), Balance, Gait, and Falls Prevention (7 papers), Gait Recognition and Analysis (6 papers), Reinforcement Learning in Robotics (6 papers), Healthcare Technology and Patient Monitoring (4 papers), Evolutionary Algorithms and Applications (3 papers), Data Stream Mining Techniques (3 papers) and Non-Invasive Vital Sign Monitoring (3 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (36 citations), Computer Vision and Pattern Recognition (138 citations), Immunology (80 citations), Artificial Intelligence (108 citations) and Cognitive Neuroscience (56 citations). Tom Croonenborghs has collaborated with scholars based in Belgium, United States and Sweden. Frequent co-authors include Bart Vanrumste, Jan Ramon, Glen Debard, Peter Karsmakers, Stijn Luca, Maurice Bruynooghe, Nathalie Pochet, Lieven Lagae, Hendrik Blockeel and Berten Ceulemans. Their work appears in journals such as Artificial Intelligence in Medicine, Scientific Reports, Journal of Hepatology, Nature Communications and IEEE Journal of Biomedical and Health Informatics.

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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