Iris Eekhout

2.5k total citations
68 papers, 1.5k citations indexed

About

Iris Eekhout is a scholar working on General Health Professions, Clinical Psychology and Statistics and Probability. According to data from OpenAlex, Iris Eekhout has authored 68 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in General Health Professions, 13 papers in Clinical Psychology and 10 papers in Statistics and Probability. Recurrent topics in Iris Eekhout's work include Statistical Methods and Bayesian Inference (8 papers), Psychometric Methodologies and Testing (8 papers) and School Health and Nursing Education (7 papers). Iris Eekhout is often cited by papers focused on Statistical Methods and Bayesian Inference (8 papers), Psychometric Methodologies and Testing (8 papers) and School Health and Nursing Education (7 papers). Iris Eekhout collaborates with scholars based in Netherlands, United States and United Kingdom. Iris Eekhout's co-authors include Henrica C. W. de Vet, Martijn W. Heymans, Jos W. R. Twisk, Berend Terluin, Caroline B. Terwee, Michiel R. de Boer, Jaap Brand, Elbert Geuze, Eric Vermetten and Mark A. van de Wiel and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Iris Eekhout

64 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iris Eekhout Netherlands 20 277 261 183 152 143 68 1.5k
Valerie S. Harder United States 18 258 0.9× 324 1.2× 220 1.2× 124 0.8× 234 1.6× 53 1.5k
Judith J. M. Rijnhart Netherlands 20 199 0.7× 213 0.8× 68 0.4× 117 0.8× 116 0.8× 46 1.5k
Odile Sauzet Germany 19 193 0.7× 175 0.7× 163 0.9× 113 0.7× 85 0.6× 81 1.3k
Steve P. Reise United States 10 226 0.8× 263 1.0× 133 0.7× 127 0.8× 132 0.9× 12 1.4k
Douglas Gunzler United States 27 377 1.4× 306 1.2× 264 1.4× 107 0.7× 233 1.6× 127 2.5k
Fiona M. Shrive Canada 13 281 1.0× 204 0.8× 264 1.4× 117 0.8× 105 0.7× 17 1.4k
Marie‐Pierre Sylvestre Canada 28 299 1.1× 228 0.9× 194 1.1× 101 0.7× 371 2.6× 139 2.4k
Lori McLeod United States 22 143 0.5× 248 1.0× 202 1.1× 185 1.2× 157 1.1× 77 1.9k
Chenglin Ye Canada 16 332 1.2× 128 0.5× 147 0.8× 129 0.8× 141 1.0× 29 1.4k
Victoria Borg Debono Canada 8 268 1.0× 118 0.5× 97 0.5× 92 0.6× 80 0.6× 19 1.1k

Countries citing papers authored by Iris Eekhout

Since Specialization
Citations

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

Fields of papers citing papers by Iris Eekhout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iris Eekhout

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

All Works

20 of 20 papers shown
1.
Mokkink, Lidwine B. & Iris Eekhout. (2025). The measurement properties reliability and measurement error explained – a COSMIN perspective. Journal of Clinical Epidemiology. 190. 112058–112058.
2.
Theunissen, Meinou H. C., Iris Eekhout, & Sijmen A. Reijneveld. (2024). Computerized adaptive testing to screen pre-school children for emotional and behavioral problems. European Journal of Pediatrics. 183(4). 1777–1787. 1 indexed citations
3.
Assema, Patricia van, Tim Huijts, Iris Eekhout, et al.. (2024). Design of a three-level evaluation of the Dutch Healthy School program. TSG - Tijdschrift voor gezondheidswetenschappen. 102(1). 9–17. 1 indexed citations
4.
Mokkink, Lidwine B., Iris Eekhout, Maarten Boers, Cees van der Vleuten, & Henrica C. W. de Vet. (2023). Studies on Reliability and Measurement Error of Measurements in Medicine – From Design to Statistics Explained for Medical Researchers. Patient Related Outcome Measures. Volume 14. 193–212. 16 indexed citations
5.
6.
Eekhout, Iris, Martie van Tongeren, Neil Pearce, & Karen M Oude Hengel. (2023). The impact of occupational exposures on infection rates during the COVID-19 pandemic: a test-negative design study with register data of 207 034 Dutch workers. Scandinavian Journal of Work Environment & Health. 49(4). 259–270. 4 indexed citations
7.
Eekhout, Iris, Stef van Buuren, B.W. Ongerboer de Visser, M.C.A.M. Bink, & Abe Huisman. (2023). Longitudinal individual predictions from irregular repeated measurements data. Scientific Reports. 13(1). 952–952. 1 indexed citations
8.
Assema, Patricia van, et al.. (2022). Measuring Implementation of Health Promoting School (HPS) Programs: Development and Psychometric Evaluation of the HPS Implementation Questionnaire. Journal of School Health. 93(6). 450–463. 4 indexed citations
9.
Theunissen, Meinou H. C., Marianne S. de Wolff, Iris Eekhout, et al.. (2022). The Strengths and Difficulties Questionnaire Parent Form: Dutch norms and validity. BMC Pediatrics. 22(1). 202–202. 6 indexed citations
10.
Terluin, Berend, Iris Eekhout, & Caroline B. Terwee. (2022). Improved adjusted minimal important change took reliability of transition ratings into account. Journal of Clinical Epidemiology. 148. 48–53. 29 indexed citations
11.
Eekhout, Iris, et al.. (2022). Analysing outcome variables with floor effects due to censoring: a simulation study with longitudinal trial data. SHILAP Revista de lepidopterología. 15(2). 1 indexed citations
12.
Dommelen, Paula van, et al.. (2019). Self-reported adverse childhood experiences and quality of life among children in the two last grades of Dutch elementary education. Child Abuse & Neglect. 95. 104051–104051. 24 indexed citations
13.
Houtman, I.L.D., et al.. (2017). Health and safety risks at the workplace: a joint analysis of three major surveys. Data Archiving and Networked Services (DANS). 7 indexed citations
14.
Vet, Henrica C. W. de, Rieky E. G. Dikmans, & Iris Eekhout. (2017). Specific agreement on dichotomous outcomes can be calculated for more than two raters. Journal of Clinical Epidemiology. 83. 85–89. 35 indexed citations
15.
Eekhout, Iris, Henrica C. W. de Vet, Michiel R. de Boer, Jos W. R. Twisk, & Martijn W. Heymans. (2016). Passive imputation and parcel summaries are both valid to handle missing items in studies with many multi-item scales. Statistical Methods in Medical Research. 27(4). 1128–1140. 24 indexed citations
16.
Eekhout, Iris, Elbert Geuze, & Eric Vermetten. (2016). The long-term burden of military deployment on the health care system. Journal of Psychiatric Research. 79. 78–85. 8 indexed citations
17.
Heesink, Lieke, et al.. (2016). Anger and aggression problems in veterans are associated with an increased acoustic startle reflex. Biological Psychology. 123. 119–125. 15 indexed citations
18.
Eekhout, Iris, Craig K. Enders, Jos W. R. Twisk, et al.. (2015). Including auxiliary item information in longitudinal data analyses improved handling missing questionnaire outcome data. Journal of Clinical Epidemiology. 68(6). 637–645. 9 indexed citations
19.
Eekhout, Iris, et al.. (2015). Post-traumatic stress symptoms 5 years after military deployment to Afghanistan: an observational cohort study. The Lancet Psychiatry. 3(1). 58–64. 67 indexed citations
20.
Terluin, Berend, Iris Eekhout, Caroline B. Terwee, & Henrica C. W. de Vet. (2015). Minimal important change (MIC) based on a predictive modeling approach was more precise than MIC based on ROC analysis. Journal of Clinical Epidemiology. 68(12). 1388–1396. 131 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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