John Tsimikas
Impact in
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
- Obstetrics and Gynecology top 5%
- Endometrial and Cervical Cancer Treatments
Papers in
-
- Statistical Methods and Inference 8
- Advanced Statistical Methods and Models 5
- Statistical Methods and Bayesian Inference 4
- Statistical Methods in Clinical Trials 3
- Co-authors
- George E. Tsekouras (7 shared papers)Barbara J. McNeil (2 shared papers)Leonidas E. Bantis (8 shared papers)S. Georgiou (4 shared papers)Etta D. Pisano (1 shared paper)Nour Sneige (1 shared paper)Constantine Gatsonis (1 shared paper)W. Phil Evans (1 shared paper)
- Journals
- Statistics in Medicine (3 papers)Cancer (1 paper)The Journal of Pediatrics (1 paper)Neural Computing and Applications (1 paper)Neurocomputing (1 paper)
- Partner nations
- United StatesGreeceAustralia
In The Last Decade
John Tsimikas
28 papers receiving 653 citations
Peers
Comparison fields: 5 of 121
- Reproductive Medicine 154
- Obstetrics and Gynecology 92
- Cancer Research 98
- Pathology and Forensic Medicine 108
- Statistics and Probability 47
Countries citing papers authored by John Tsimikas
This map shows the geographic impact of John Tsimikas'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 John Tsimikas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Tsimikas more than expected).
Fields of papers citing papers by John Tsimikas
This network shows the impact of papers produced by John Tsimikas. 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 John Tsimikas. The network helps show where John Tsimikas may publish in the future.
Co-authors
The 25 scholars most cited alongside John Tsimikas, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 179 | |
| 2 | 1998 | 115 | |
| 3 | 2012 | 67 | |
| 4 | 2007 | 40 | |
| 5 | 2006 | 35 | |
| 6 | 2006 | 33 | |
| 7 | 2018 | 25 | |
| 8 | 2011 | 20 | |
| 9 | 2017 | 20 | |
| 10 | 2017 | 19 | |
| 11 | 2012 | 18 | |
| 12 | 2021 | 13 | |
| 13 | 2012 | 12 | |
| 14 | 2011 | 12 | |
| 15 | 1994 | 9 | |
| 16 | 2002 | 7 | |
| 17 | 2005 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2020 | 7 | |
| 20 | 2020 | 5 |
About John Tsimikas
John Tsimikas is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition, Artificial Intelligence, Statistics, Probability and Uncertainty and Epidemiology, having authored 28 papers that have together received 679 indexed citations. Recurring topics across this work include Statistical Methods and Inference (8 papers), Advanced Statistical Methods and Models (5 papers), Statistical Methods and Bayesian Inference (4 papers), Neural Networks and Applications (3 papers), Statistical Methods in Clinical Trials (3 papers), Fuzzy Logic and Control Systems (3 papers), Forecasting Techniques and Applications (2 papers) and Hydrological Forecasting Using AI (2 papers). The work is most often cited by research in Reproductive Medicine (154 citations), Obstetrics and Gynecology (92 citations), Cancer Research (98 citations), Pathology and Forensic Medicine (108 citations) and Statistics and Probability (47 citations). John Tsimikas has collaborated with scholars based in United States, Greece and Australia. Frequent co-authors include George E. Tsekouras, Barbara J. McNeil, Leonidas E. Bantis, S. Georgiou, Etta D. Pisano, Nour Sneige, Constantine Gatsonis, W. Phil Evans, William J. Frable and Laurie L. Fajardo. Their work appears in journals such as Statistics in Medicine, Cancer, The Journal of Pediatrics, Neural Computing and Applications and Neurocomputing.
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.