Thomas Klausch
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 5%
- Clinical Reasoning and Diagnostic Skills
Papers in
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- Statistical Methods and Bayesian Inference 9
- Statistical Methods and Inference 4
- Survey Sampling and Estimation Techniques 4
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- Survey Methodology and Nonresponse 5
- Co-authors
- Barry Schouten (6 shared papers)Lucas M. Fleuren (2 shared papers)Paul Elbers (2 shared papers)Eleonora L. Swart (2 shared papers)Armand R. J. Girbes (2 shared papers)Luca F. Roggeveen (2 shared papers)Tingjie Guo (2 shared papers)Patrick Thoral (2 shared papers)
- Journals
- Journal of Clinical Epidemiology (2 papers)Sociological Methods & Research (2 papers)BMC Medical Research Methodology (2 papers)Journal of Survey Statistics and Methodology (2 papers)Trials (2 papers)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Thomas Klausch
26 papers receiving 853 citations
Thomas Klausch's Hit Papers
Peers
Comparison fields: 5 of 141
- Health Informatics 63
- Family Practice 51
- Statistics and Probability 85
- Applied Microbiology and Biotechnology 18
- Epidemiology 272
Countries citing papers authored by Thomas Klausch
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
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.
All Works
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 → | 2020 | 414 |
| 2 | 2018 | 77 | |
| 3 | 2013 | 46 | |
| 4 | 2013 | 45 | |
| 5 | 2018 | 41 | |
| 6 | 2021 | 35 | |
| 7 | 2018 | 32 | |
| 8 | 2017 | 31 | |
| 9 | 2015 | 29 | |
| 10 | 2015 | 26 | |
| 11 | 2019 | 25 | |
| 12 | 2016 | 14 | |
| 13 | 2023 | 11 | |
| 14 | 2019 | 9 | |
| 15 | 2018 | 8 | |
| 16 | 2021 | 7 | |
| 17 | 2019 | 7 | |
| 18 | 2017 | 7 | |
| 19 | Wound dehiscences following pre-implant bone augmentation with autogenous iliac crest bone grafts: A retrospective cohort study. | 2019 | 3 |
| 20 | 2023 | 2 |
About Thomas Klausch
Thomas Klausch is a scholar working on Statistics and Probability, Sociology and Political Science, Surgery, Management Science and Operations Research and Pharmacology, having authored 29 papers that have together received 877 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (9 papers), Survey Methodology and Nonresponse (5 papers), Statistical Methods and Inference (4 papers), Survey Sampling and Estimation Techniques (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Psychometric Methodologies and Testing (4 papers), Colorectal Cancer Screening and Detection (4 papers) and Musculoskeletal pain and rehabilitation (3 papers). The work is most often cited by research in Health Informatics (63 citations), Family Practice (51 citations), Statistics and Probability (85 citations), Applied Microbiology and Biotechnology (18 citations) and Epidemiology (272 citations). Thomas Klausch has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Barry Schouten, Lucas M. Fleuren, Paul Elbers, Eleonora L. Swart, Armand R. J. Girbes, Luca F. Roggeveen, Tingjie Guo, Patrick Thoral, Charlotte Zwager and Linda Schoonmade. Their work appears in journals such as Journal of Clinical Epidemiology, Sociological Methods & Research, BMC Medical Research Methodology, Journal of Survey Statistics and Methodology and Trials.
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.