Thomas Klausch

1.5k total citations · 1 hit paper
29 papers, 877 citations indexed

About

Thomas Klausch is a scholar working on Statistics and Probability, Sociology and Political Science and Surgery. According to data from OpenAlex, Thomas Klausch has authored 29 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 6 papers in Sociology and Political Science and 5 papers in Surgery. Recurrent topics in Thomas Klausch's work include Statistical Methods and Bayesian Inference (9 papers), Survey Methodology and Nonresponse (5 papers) and Statistical Methods and Inference (4 papers). Thomas Klausch is often cited by papers focused on Statistical Methods and Bayesian Inference (9 papers), Survey Methodology and Nonresponse (5 papers) and Statistical Methods and Inference (4 papers). Thomas Klausch collaborates with scholars based in Netherlands, Germany and United States. Thomas Klausch's co-authors include Barry Schouten, Lucas M. Fleuren, Paul Elbers, Patrick Thoral, Armand R. J. Girbes, Luca F. Roggeveen, Tingjie Guo, Eleonora L. Swart, Linda Schoonmade and Ari Ercole and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Epidemiology.

In The Last Decade

Thomas Klausch

26 papers receiving 853 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy

2020 414 citations Lucas M. Fleuren, Thomas Klausch et al. Intensive Care Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Klausch Netherlands	12	272	200	171	91	85	29	877
Rachel Richesson United States	22	150 0.6×	382 1.9×	38 0.2×	64 0.7×	60 0.7×	92	1.6k
Tsair‐Wei Chien Taiwan	22	149 0.5×	136 0.7×	134 0.8×	54 0.6×	12 0.1×	143	1.7k
Todd Lingren United States	19	132 0.5×	415 2.1×	22 0.1×	95 1.0×	31 0.4×	29	1.2k
Pauline Heus Netherlands	17	202 0.7×	127 0.6×	28 0.2×	212 2.3×	47 0.6×	41	1.7k
Toshihiko Takada Japan	16	138 0.5×	170 0.8×	25 0.1×	161 1.8×	15 0.2×	74	924
Owen Nicholas United Kingdom	14	184 0.7×	100 0.5×	87 0.5×	147 1.6×	100 1.2×	21	1.2k
Emmanuel Chazard France	19	149 0.5×	158 0.8×	33 0.2×	176 1.9×	11 0.1×	127	1.1k
Amélie Yavchitz France	14	114 0.4×	35 0.2×	99 0.6×	103 1.1×	65 0.8×	32	973
Hun‐Sung Kim South Korea	24	278 1.0×	105 0.5×	21 0.1×	376 4.1×	29 0.3×	141	2.3k
Kellyn F Arnold United Kingdom	8	80 0.3×	80 0.4×	32 0.2×	58 0.6×	113 1.3×	19	888

Countries citing papers authored by Thomas Klausch

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Klausch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Klausch

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Klausch. A scholar is included among the top collaborators of Thomas Klausch 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 Thomas Klausch. Thomas Klausch 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

Klausch, Thomas, et al.. (2025). Adaptive Use of Co‐Data Through Empirical Bayes for Bayesian Additive Regression Trees. Statistics in Medicine. 44(5). e70004–e70004.

Schouten, Barry, Thomas Klausch, Bart Buelens, & Jan van den Brakel. (2024). A Cost–Benefit Analysis of Reinterview Designs for Estimating and Adjusting Mode Measurement Effects: A Case Study for the Dutch Health Survey and Labour Force Survey. Journal of Survey Statistics and Methodology. 12(3). 790–813. 2 indexed citations

Klausch, Thomas, Henriette C. Jodal, Beatriz Carvalho, et al.. (2024). Fitting a progressive 3-state colorectal cancer model to interval-censored surveillance data under outcome-dependent sampling using a weighted likelihood approach. American Journal of Epidemiology. 194(6). 1764–1775.

Besseling, Joost, Thomas Klausch, Marije Slingerland, et al.. (2023). Assessing real-world representativeness of prospective registry cohorts in oncology: insights from patients with esophagogastric cancer. Journal of Clinical Epidemiology. 164. 65–75. 2 indexed citations

Schuster, Noah A., et al.. (2023). Misspecification of confounder-exposure and confounder-outcome associations leads to bias in effect estimates. BMC Medical Research Methodology. 23(1). 11–11. 11 indexed citations

Klausch, Thomas, Henriette C. Jodal, Beatriz Carvalho, et al.. (2022). A progressive three-state model to estimate time to cancer: a likelihood-based approach. BMC Medical Research Methodology. 22(1). 179–179. 1 indexed citations

Nauta, Irene H., Thomas Klausch, Peter M. van de Ven, et al.. (2021). The important role of cisplatin in the treatment of HPV-positive oropharyngeal cancer assessed by real-world data analysis. Oral Oncology. 121. 105454–105454. 7 indexed citations

Beker, Nina, Marc Hulsman, Thomas Klausch, et al.. (2021). Association of Cognitive Function Trajectories in Centenarians With Postmortem Neuropathology, Physical Health, and Other Risk Factors for Cognitive Decline. JAMA Network Open. 4(1). e2031654–e2031654. 35 indexed citations

Fleuren, Lucas M., Thomas Klausch, Charlotte Zwager, et al.. (2020). Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy. Intensive Care Medicine. 46(3). 383–400. 414 indexed citations breakdown →

10.

Terwee, Caroline B., Thomas Klausch, Leo D. Roorda, et al.. (2019). Psychometric properties of the Dutch-Flemish Patient-Reported Outcomes Measurement Information System Pain Behavior item bank in patients with musculoskeletal complaints. Journal of Pain. 20(11). 1328–1337. 7 indexed citations

11.

Roggeveen, Luca F., Lucas M. Fleuren, Tingjie Guo, et al.. (2019). Right Dose Right Now: bedside data-driven personalized antibiotic dosing in severe sepsis and septic shock — rationale and design of a multicenter randomized controlled superiority trial. Trials. 20(1). 745–745. 25 indexed citations

12.

Klausch, Thomas, Felice N. van Erning, Geraldine R. Vink, et al.. (2019). Estimating adjuvant treatment effects in Stage II colon cancer: Comparing the synthesis of randomized clinical trial data to real‐world data. International Journal of Cancer. 146(11). 2968–2978. 9 indexed citations

13.

Jager, D.H.J., Thomas Klausch, K. Hakki Karagozoglu, et al.. (2019). Wound dehiscences following pre-implant bone augmentation with autogenous iliac crest bone grafts: A retrospective cohort study.. European journal of oral implantology. 12(2). 227–236. 3 indexed citations

14.

Hartman, Linda, Linda A. Rasch, Thomas Klausch, et al.. (2018). Harm, benefit and costs associated with low-dose glucocorticoids added to the treatment strategies for rheumatoid arthritis in elderly patients (GLORIA trial): study protocol for a randomised controlled trial. Trials. 19(1). 67–67. 32 indexed citations

15.

Crins, Martine, Philip J. van der Wees, Thomas Klausch, et al.. (2018). Psychometric properties of the PROMIS Physical Function item bank in patients receiving physical therapy. PLoS ONE. 13(2). e0192187–e0192187. 41 indexed citations

16.

Kern, Christoph, Thomas Klausch, & Frauke Kreuter. (2018). Tree-based Machine Learning Methods for Survey Research. SHILAP Revista de lepidopterología. 77 indexed citations

17.

Terwee, Caroline B., Thomas Klausch, Leo D. Roorda, et al.. (2018). Validation of the Dutch-Flemish PROMIS Pain Interference Item Bank in Patients With Musculoskeletal Complaints. Spine. 44(6). 411–419. 8 indexed citations

18.

Crins, Martine, Caroline B. Terwee, Thomas Klausch, et al.. (2017). The Dutch–Flemish PROMIS Physical Function item bank exhibited strong psychometric properties in patients with chronic pain. Journal of Clinical Epidemiology. 87. 47–58. 31 indexed citations

19.

Klausch, Thomas, Barry Schouten, & Joop J. Hox. (2015). Evaluating Bias of Sequential Mixed-mode Designs Against Benchmark Surveys. Sociological Methods & Research. 46(3). 456–489. 26 indexed citations

20.

Schouten, Barry, et al.. (2013). Disentangling mode-specific selection and measurement bias in social surveys. Social Science Research. 42(6). 1555–1570. 46 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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