Tim Verdonck

2.1k citations
80 papers · 1.3k · h-index 16

Impact in

Papers in

    • Advanced Statistical Methods and Models 24
    • Statistical Methods and Inference 20
    • Statistical Distribution Estimation and Applications 6
    • Imbalanced Data Classification Techniques 12
    • Machine Learning and Data Classification 8
    • Anomaly Detection Techniques and Applications 6

Tim Verdonck

69 papers receiving 1.2k citations

Peers

Tim Verdonck
Comparison fields: 5 of 138
  • Software 126
  • Statistics and Probability 255
  • Statistics, Probability and Uncertainty 128
  • Management Science and Operations Research 161
  • Information Systems 219
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Citations per field
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Citations per year

Countries citing papers authored by Tim Verdonck

Since Specialization
Citations

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

Fields of papers citing papers by Tim Verdonck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tim Verdonck, 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 Tim Verdonck Line = papers co-authored together Tim Verdonck links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011168
2 2007132
3 202193
4 202191
5 201287
6 200887
7 202084
8 201347
9 202241
10 201538
11 201037
12 200927
13 201824
14 201422
15 201216
16 200916
17 201415
18 201015
19 202414
20 201611

About Tim Verdonck

Tim Verdonck is a scholar working on Statistics and Probability, Artificial Intelligence, Statistics, Probability and Uncertainty, Management Science and Operations Research and Information Systems, having authored 80 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (24 papers), Statistical Methods and Inference (20 papers), Advanced Statistical Process Monitoring (12 papers), Imbalanced Data Classification Techniques (12 papers), Machine Learning and Data Classification (8 papers), Spectroscopy and Chemometric Analyses (7 papers), Statistical Distribution Estimation and Applications (6 papers) and Anomaly Detection Techniques and Applications (6 papers). The work is most often cited by research in Software (126 citations), Statistics and Probability (255 citations), Statistics, Probability and Uncertainty (128 citations), Management Science and Operations Research (161 citations) and Information Systems (219 citations). Tim Verdonck has collaborated with scholars based in Belgium, Netherlands and United Kingdom. Frequent co-authors include Bart Baesens, Sven Serneels, Mia Hubert, Peter J. Rousseeuw, Quinten David Soetens, Serge Demeyer, Ahmed Lamkanfi, Michiel Debruyne, Seppe vanden Broucke and Wouter Verbeke. Their work appears in journals such as Decision Support Systems, Computational Statistics & Data Analysis, Advances in Data Analysis and Classification, Information Sciences and Insurance Mathematics and Economics.

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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