Thomas Klausch

1.6k citations
29 papers · 925 · 1 hit paper · h-index 13

Impact in

Papers in

Thomas Klausch

28 papers receiving 905 citations

Thomas Klausch's Hit Papers

Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy 2020 · 441 citations
4410+2+4Years since publication100200300400

Peers

Thomas Klausch
Comparison fields: 5 of 135
  • Health Informatics 41
  • Family Practice 21
  • Statistics and Probability 81
  • Epidemiology 231
  • Applied Microbiology and Biotechnology 12
Replace Wyndy L. Wiitala with:
Wyndy L. Wiitala United States
Andra Morrison Canada
Jennifer C. Goldsack United States
Iván Díaz United States
Jeremiah S. Hinson United States
David Ford United Kingdom
Hun‐Sung Kim South Korea
Andy Bogart United States
Alejandro Schuler United States
B. De Cock Belgium
Thomas Klausch relative to Wyndy L. Wiitala United States Wyndy L. Wiitala's profile →
Citations per field
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Wyndy L. Wiitala · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy
Hit paper breakdown →
2020441
2 201878
3 201346
4 201846
5 201346
6 202137
7 201734
8 201833
9 201529
10 201926
11 201526
12 201614
13 202313
14 201910
15 20188
16 20218
17 20197
18 20177
19
Wound dehiscences following pre-implant bone augmentation with autogenous iliac crest bone grafts: A retrospective cohort study.
20193
20 20232

About Thomas Klausch

Thomas Klausch is a scholar working on Statistics and Probability, Sociology and Political Science, Artificial Intelligence, Surgery and Oncology, having authored 29 papers that have together received 925 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (8 papers), Survey Methodology and Nonresponse (5 papers), Survey Sampling and Estimation Techniques (4 papers), Statistical Methods and Inference (4 papers), Media, Gender, and Advertising (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Media Influence and Health (2 papers) and Colorectal Cancer Screening and Detection (2 papers). The work is most often cited by research in Health Informatics (41 citations), Family Practice (21 citations), Statistics and Probability (81 citations), Epidemiology (231 citations) and Applied Microbiology and Biotechnology (12 citations). Thomas Klausch has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Barry Schouten, Patrick Thoral, Paul Elbers, Lucas M. Fleuren, Tingjie Guo, Luca F. Roggeveen, Armand R. J. Girbes, Eleonora L. Swart, Ari Ercole and Charlotte Zwager. Their work appears in journals such as BMC Medical Research Methodology, Trials, Journal of Clinical Epidemiology, Sociological Methods & Research and Journal of Survey Statistics and Methodology.

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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