Constantine Gatsonis
Impact in
- Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education
- Statistics, Probability and Uncertainty top 0.05%
- Meta-analysis and systematic reviews
Papers in
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- Meta-analysis and systematic reviews 35
-
- Statistical Methods and Bayesian Inference 10
- Statistical Methods in Epidemiology 6
- Statistical Methods in Clinical Trials 4
- Co-authors
- Patrick M Bossuyt (22 shared papers)Carolyn M. Rutter (3 shared papers)Johannes B. Reitsma (17 shared papers)Henrica C. W. de Vet (17 shared papers)Les Irwig (16 shared papers)David E. Bruns (17 shared papers)Jérémie F. Cohen (12 shared papers)Daniel Arnoldus Korevaar (12 shared papers)
- Journals
- Statistics in Medicine (6 papers)Radiology (5 papers)Academic Radiology (4 papers)BMJ (4 papers)American Journal of Roentgenology (3 papers)
- Partner nations
- United StatesNetherlandsAustralia
In The Last Decade
Constantine Gatsonis
63 papers receiving 15.8k citations
Constantine Gatsonis's Hit Papers
Peers
Comparison fields: 5 of 188
- Health Informatics 620
- Statistics, Probability and Uncertainty 1.5k
- Critical Care and Intensive Care Medicine 377
- Radiology, Nuclear Medicine and Imaging 1.7k
- Health Information Management 577
Countries citing papers authored by Constantine Gatsonis
This map shows the geographic impact of Constantine Gatsonis'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 Constantine Gatsonis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Constantine Gatsonis more than expected).
Fields of papers citing papers by Constantine Gatsonis
This network shows the impact of papers produced by Constantine Gatsonis. 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 Constantine Gatsonis. The network helps show where Constantine Gatsonis may publish in the future.
Co-authors
The 25 scholars most cited alongside Constantine Gatsonis, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies Hit paper breakdown → | 2015 | 2649 |
| 2 | Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies Hit paper breakdown → | 2018 | 2506 |
| 3 | STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration Hit paper breakdown → | 2016 | 1902 |
| 4 | A hierarchical regression approach to meta‐analysis of diagnostic test accuracy evaluations Hit paper breakdown → | 2001 | 1258 |
| 5 | STARD 2015: An Updated List of Essential Items for Reporting Diagnostic Accuracy Studies Hit paper breakdown → | 2015 | 1074 |
| 6 | Systematic Reviews of Diagnostic Test Accuracy Hit paper breakdown → | 2008 | 964 |
| 7 | STARD 2015: An Updated List of Essential Items for Reporting Diagnostic Accuracy Studies Hit paper breakdown → | 2015 | 806 |
| 8 | Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative. Standards for Reporting of Diagnostic Accuracy. Hit paper breakdown → | 2003 | 751 |
| 9 | Preferred reporting items for systematic review and meta-analysis of diagnostic test accuracy studies (PRISMA-DTA): explanation, elaboration, and checklist Hit paper breakdown → | 2020 | 531 |
| 10 | Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI Hit paper breakdown → | 2022 | 410 |
| 11 | Statistical Methods for Profiling Providers of Medical Care: Issues and Applications Hit paper breakdown → | 1997 | 396 |
| 12 | Metrology Standards for Quantitative Imaging Biomarkers Hit paper breakdown → | 2015 | 346 |
| 13 | 2007 | 313 | |
| 14 | New Guidelines for Statistical Reporting in the Journal Hit paper breakdown → | 2019 | 242 |
| 15 | 2006 | 187 | |
| 16 | 1989 | 170 | |
| 17 | 1995 | 145 | |
| 18 | 2001 | 124 | |
| 19 | 2003 | 101 | |
| 20 | 2003 | 79 |
About Constantine Gatsonis
Constantine Gatsonis is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Health Informatics, Health Information Management and Information Systems and Management, having authored 64 papers that have together received 16.2k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (35 papers), Statistical Methods and Bayesian Inference (10 papers), Statistical Methods in Epidemiology (6 papers), Artificial Intelligence in Healthcare and Education (4 papers), Statistical Methods in Clinical Trials (4 papers), Healthcare Quality and Management (3 papers), Healthcare Policy and Management (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Health Informatics (620 citations), Statistics, Probability and Uncertainty (1.5k citations), Critical Care and Intensive Care Medicine (377 citations), Radiology, Nuclear Medicine and Imaging (1.7k citations) and Health Information Management (577 citations). Constantine Gatsonis has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Patrick M Bossuyt, Carolyn M. Rutter, Johannes B. Reitsma, Henrica C. W. de Vet, Les Irwig, David E. Bruns, Jérémie F. Cohen, Daniel Arnoldus Korevaar, Lotty Hooft and Douglas G. Altman. Their work appears in journals such as Statistics in Medicine, Radiology, Academic Radiology, BMJ and American Journal of Roentgenology.
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.