Kim Luijken

3.8k total citations
26 papers, 323 citations indexed

About

Kim Luijken is a scholar working on Statistics and Probability, Economics and Econometrics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kim Luijken has authored 26 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 9 papers in Economics and Econometrics and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kim Luijken's work include Health Systems, Economic Evaluations, Quality of Life (8 papers), Advanced Causal Inference Techniques (8 papers) and Statistical Methods in Clinical Trials (5 papers). Kim Luijken is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (8 papers), Advanced Causal Inference Techniques (8 papers) and Statistical Methods in Clinical Trials (5 papers). Kim Luijken collaborates with scholars based in Netherlands, Belgium and United Kingdom. Kim Luijken's co-authors include Rolf H. H. Groenwold, Maarten van Smeden, Ben Van Calster, Ewout W. Steyerberg, A. Titia Lely, Arie Franx, Nina D. Paauw, Marianne C. Verhaar, Nan van Geloven and Saskia le Cessie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and BMJ.

In The Last Decade

Kim Luijken

23 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kim Luijken Netherlands	9	65	63	53	49	48	26	323
Suzanne N. Landi United States	8	37 0.6×	65 1.0×	44 0.8×	8 0.2×	35 0.7×	14	298
Simone Marschner Australia	11	28 0.4×	40 0.6×	30 0.6×	16 0.3×	233 4.9×	69	496
Nileesa Gautam United States	7	66 1.0×	14 0.2×	92 1.7×	8 0.2×	63 1.3×	14	355
Oscar Fernández Cantero Spain	6	97 1.5×	24 0.4×	103 1.9×	8 0.2×	45 0.9×	8	409
Amy Matcho United States	7	20 0.3×	31 0.5×	38 0.7×	50 1.0×	31 0.6×	8	498
Dinesh Pal Mudaranthakam United States	9	24 0.4×	21 0.3×	46 0.9×	10 0.2×	22 0.5×	51	253
Katya L Masconi South Africa	13	17 0.3×	69 1.1×	30 0.6×	22 0.4×	123 2.6×	17	503
Cornelis Biesheuvel Australia	12	21 0.3×	12 0.2×	33 0.6×	31 0.6×	28 0.6×	16	458
Sara Z. Dejene United States	12	16 0.2×	87 1.4×	89 1.7×	7 0.1×	53 1.1×	18	484
Susan Andrade United States	9	28 0.4×	23 0.4×	34 0.6×	9 0.2×	10 0.2×	12	519

Countries citing papers authored by Kim Luijken

Since Specialization

Citations

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

Fields of papers citing papers by Kim Luijken

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Luijken

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

All Works

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20 of 20 papers shown

Meirmans, Stephanie, Kim Luijken, Patricia Bruijning‐Verhagen, Rolf H. H. Groenwold, & Annemarijn R de Boer. (2025). The function of conducting a direct replication may be different than typically assumed: understanding contextuality and asymmetry. Journal of Clinical Epidemiology. 183. 111785–111785.

Smeden, Maarten van, Petra J. M. Elders, Jan Festen, et al.. (2025). Charlson comorbidity index has no incremental value for mortality risk prediction in nursing home residents with COVID-19 disease. BMC Geriatrics. 25(1). 67–67.

Luijken, Kim, et al.. (2025). The Harms of Class Imbalance Corrections for Machine Learning Based Prediction Models: A Simulation Study. Statistics in Medicine. 44(3-4). e10320–e10320. 7 indexed citations

Smeden, Maarten van, Evertine J. Abbink, Marieke T. Blom, et al.. (2024). External validation of six COVID-19 prognostic models for predicting mortality risk in older populations in a hospital, primary care, and nursing home setting. Journal of Clinical Epidemiology. 168. 111270–111270. 2 indexed citations

Luijken, Kim, Jeroen Hoogland, Ruth H. Keogh, et al.. (2024). Risk‐Based Decision Making: Estimands for Sequential Prediction Under Interventions. Biometrical Journal. 66(8). e70011–e70011. 4 indexed citations

Luijken, Kim, et al.. (2024). Which heart failure patients benefit most from non-invasive telemedicine? An overview of current evidence and future directions. Netherlands Heart Journal. 32(9). 304–314.

Luijken, Kim, Tiny Jaarsma, Johannes B. Reitsma, et al.. (2024). RELEASE-HF study: a protocol for an observational, registry-based study on the effectiveness of telemedicine in heart failure in the Netherlands. BMJ Open. 14(1). e078021–e078021. 2 indexed citations

Hond, Anne de, Sjoerd de Vries, Richard Bartels, et al.. (2024). Don't be misled: 3 misconceptions about external validation of clinical prediction models. Journal of Clinical Epidemiology. 172. 111387–111387. 21 indexed citations

Drewes, Yvonne M., Jan Festen, Harmke A. Polinder‐Bos, et al.. (2024). Older people’s goals of care in relation to frailty status—the COOP-study. Age and Ageing. 53(5). 5 indexed citations

10.

Luijken, Kim, Adolf W. Lohmann, J. Α. Α. Ketelaar, et al.. (2024). Replicability of simulation studies for the investigation of statistical methods: the RepliSims project. Royal Society Open Science. 11(1). 231003–231003. 8 indexed citations

11.

Luijken, Kim, Marieke T. Blom, Jacobijn Gussekloo, et al.. (2024). Limited incremental predictive value of the frailty index and other vulnerability measures from routine care data for mortality risk prediction in older patients with COVID-19 in primary care. BMC Primary Care. 25(1). 70–70. 2 indexed citations

12.

Luijken, Kim, Rik van Eekelen, Helga Gardarsdóttir, Rolf H. H. Groenwold, & Nan van Geloven. (2023). Tell me what you want, what you really really want: Estimands in observational pharmacoepidemiologic comparative effectiveness and safety studies. Pharmacoepidemiology and Drug Safety. 32(8). 863–872. 8 indexed citations

13.

Luijken, Kim, Bryan J. M. van de Wall, Lotty Hooft, et al.. (2022). How to assess applicability and methodological quality of comparative studies of operative interventions in orthopedic trauma surgery. European Journal of Trauma and Emergency Surgery. 48(6). 4943–4953. 2 indexed citations

14.

Luijken, Kim, Jia Song, & Rolf H. H. Groenwold. (2022). Quantitative prediction error analysis to investigate predictive performance under predictor measurement heterogeneity at model implementation. SHILAP Revista de lepidopterología. 6(1). 7–7. 4 indexed citations

15.

Luijken, Kim, Olaf M. Dekkers, Frits R. Rosendaal, & Rolf H. H. Groenwold. (2022). Exploratory analyses in aetiologic research and considerations for assessment of credibility: mini-review of literature. BMJ. 377. e070113–e070113. 8 indexed citations

16.

Luijken, Kim, et al.. (2021). New‐user and prevalent‐user designs and the definition of study time origin in pharmacoepidemiology: A review of reporting practices. Pharmacoepidemiology and Drug Safety. 30(7). 960–974. 19 indexed citations

17.

Geloven, Nan van, Sonja A. Swanson, Chava L. Ramspek, et al.. (2020). Prediction meets causal inference: the role of treatment in clinical prediction models. Data Archiving and Networked Services (DANS). 58 indexed citations

18.

Luijken, Kim, et al.. (2020). Quality of reporting of drug exposure in pharmacoepidemiological studies. Pharmacoepidemiology and Drug Safety. 29(9). 1141–1150. 4 indexed citations

19.

Luijken, Kim, Laure Wynants, Maarten van Smeden, et al.. (2019). Changing predictor measurement procedures affected the performance of prediction models in clinical examples. Journal of Clinical Epidemiology. 119. 7–18. 27 indexed citations

20.

Cessie, Saskia le, Kim Luijken, & Els Goetghebeur. (2019). Regarding “Variable selection – A review and recommendations for the practicing statistician” by G. Heinze, C. Wallisch, and D. Dunkler. Biometrical Journal. 61(6). 1595–1597. 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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