Wim van der Linden

510 total citations
10 papers, 153 citations indexed

About

Wim van der Linden is a scholar working on Pulmonary and Respiratory Medicine, Management Science and Operations Research and Organic Chemistry. According to data from OpenAlex, Wim van der Linden has authored 10 papers receiving a total of 153 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 2 papers in Management Science and Operations Research and 1 paper in Organic Chemistry. Recurrent topics in Wim van der Linden's work include Psychometric Methodologies and Testing (2 papers), Biliary and Gastrointestinal Fistulas (1 paper) and Ethics in Clinical Research (1 paper). Wim van der Linden is often cited by papers focused on Psychometric Methodologies and Testing (2 papers), Biliary and Gastrointestinal Fistulas (1 paper) and Ethics in Clinical Research (1 paper). Wim van der Linden collaborates with scholars based in Netherlands, Sweden and United States. Wim van der Linden's co-authors include Jean‐Paul Fox, Paul De Boeck, Minjeong Jeon, Tim Hulsen, Daan Nieboer, C. Bangma, Jan‐Willem Boiten, Gerrit A. Meijer, Jeroen Beliën and Henk Obbink and has published in prestigious journals such as Cancer Research, Journal of Statistical Software and Journal of Educational and Behavioral Statistics.

In The Last Decade

Wim van der Linden

10 papers receiving 138 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wim van der Linden Netherlands 5 70 41 33 26 17 10 153
Gary L. Marco United States 7 174 2.5× 51 1.2× 127 3.8× 18 0.7× 6 0.4× 14 258
Edward S. Mooney United States 8 13 0.2× 213 5.2× 8 0.2× 8 0.3× 9 0.5× 23 312
Stijn Vanhoof Belgium 6 10 0.1× 249 6.1× 9 0.3× 18 0.7× 41 2.4× 15 345
Geoffrey T. LaFlair United States 7 20 0.3× 6 0.1× 9 0.3× 10 0.4× 130 7.6× 15 262
Andrew Izsák United States 14 36 0.5× 314 7.7× 25 0.8× 23 0.9× 19 1.1× 26 545
Ana Elisa Castro Sotos Belgium 6 9 0.1× 234 5.7× 6 0.2× 16 0.6× 36 2.1× 8 314
Maria E. Magone United States 7 21 0.3× 184 4.5× 6 0.2× 60 2.3× 33 1.9× 7 351
Samuel Ventura United States 5 30 0.4× 10 0.2× 1 0.0× 10 0.4× 19 1.1× 8 126
Anna E. Bargagliotti United States 10 16 0.2× 142 3.5× 4 0.1× 3 0.1× 83 4.9× 36 306
Jinnie Shin United States 8 14 0.2× 6 0.1× 5 0.2× 6 0.2× 89 5.2× 27 231

Countries citing papers authored by Wim van der Linden

Since Specialization
Citations

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

Fields of papers citing papers by Wim van der Linden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wim van der Linden. 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 Wim van der Linden. The network helps show where Wim van der Linden may publish in the future.

Co-authorship network of co-authors of Wim van der Linden

This figure shows the co-authorship network connecting the top 25 collaborators of Wim van der Linden. A scholar is included among the top collaborators of Wim van der Linden 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 Wim van der Linden. Wim van der Linden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Hulsen, Tim, et al.. (2019). Developing a future-proof database for the European Randomized study of Screening for Prostate Cancer (ERSPC). European Urology Supplements. 18(1). e1766–e1766. 1 indexed citations
2.
Jeon, Minjeong, Paul De Boeck, & Wim van der Linden. (2017). Modeling Answer Change Behavior: An Application of a Generalized Item Response Tree Model. Journal of Educational and Behavioral Statistics. 42(4). 467–490. 26 indexed citations
3.
Hulsen, Tim, Henk Obbink, Wim van der Linden, et al.. (2016). 958 Integrating large datasets for the Movember Global Action Plan on active surveillance for low risk prostate cancer. European Urology Supplements. 15(3). e958–e958. 6 indexed citations
4.
Bierkens, Mariska, Wim van der Linden, Kees van Bochove, et al.. (2016). Abstract 3166: Querying, viewing and analyzing colorectal cancer translational research studies in tranSMART. Cancer Research. 76(14_Supplement). 3166–3166. 1 indexed citations
5.
Bierkens, Mariska, Wim van der Linden, Kees van Bochove, et al.. (2015). tranSMART. Europe PMC (PubMed Central). 5(Suppl 1). S9–S9. 5 indexed citations
6.
Boer, Bart de, et al.. (2007). IBRAHYM: Grondwater Modelinstrumentarium Limburg. Socio-Environmental Systems Modeling. 1 indexed citations
7.
Fox, Jean‐Paul, et al.. (2007). Modeling of Responses and Response Times with the Packagecirt. Journal of Statistical Software. 20(7). 96 indexed citations
8.
Linden, Wim van der. (2001). Applying the Rasch Model. International Journal of Testing. 1(3). 319–326. 11 indexed citations
9.
Linden, Wim van der, et al.. (1985). Short Circuit Testing Methods for Generator Circuit Breakers with a Parallel Resistor. IEEE Transactions on Power Apparatus and Systems. PAS-104(10). 2713–2720. 3 indexed citations
10.
Linden, Wim van der, et al.. (1965). The Familial Occurrence of Gallstone Disease. Human Heredity. 15(2). 159–164. 3 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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2026