Barbaros Yet
Impact in
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- Risk and Safety Analysis
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- Multi-Criteria Decision Making
Papers in
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- Bayesian Modeling and Causal Inference 17
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- Multi-Criteria Decision Making 4
- Co-authors
- Zane Perkins (15 shared papers)William Marsh (17 shared papers)Nigel Tai (10 shared papers)Norman Fenton (9 shared papers)Martin Neil (7 shared papers)Anthony C. Constantinou (6 shared papers)Todd E. Rasmussen (5 shared papers)Keith Shepherd (3 shared papers)
- Journals
- Expert Systems with Applications (3 papers)Journal of Biomedical Informatics (3 papers)Annals of Operations Research (2 papers)Annals of Surgery (2 papers)Knowledge-Based Systems (2 papers)
- Partner nations
- United KingdomTürkiyeUnited States
In The Last Decade
Barbaros Yet
40 papers receiving 754 citations
Peers
Comparison fields: 5 of 141
- Statistics, Probability and Uncertainty 72
- Management Science and Operations Research 124
- Critical Care and Intensive Care Medicine 34
- Health Informatics 9
- Emergency Medicine 51
Countries citing papers authored by Barbaros Yet
This map shows the geographic impact of Barbaros Yet'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 Barbaros Yet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbaros Yet more than expected).
Fields of papers citing papers by Barbaros Yet
This network shows the impact of papers produced by Barbaros Yet. 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 Barbaros Yet. The network helps show where Barbaros Yet may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbaros Yet, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 97 | |
| 2 | 2019 | 82 | |
| 3 | 2015 | 75 | |
| 4 | 2017 | 58 | |
| 5 | 2019 | 50 | |
| 6 | 2013 | 48 | |
| 7 | 2012 | 41 | |
| 8 | 2020 | 29 | |
| 9 | 2021 | 29 | |
| 10 | 2014 | 27 | |
| 11 | 2020 | 24 | |
| 12 | 2023 | 23 | |
| 13 | 2018 | 18 | |
| 14 | 2016 | 17 | |
| 15 | 2016 | 14 | |
| 16 | 2015 | 14 | |
| 17 | 2021 | 13 | |
| 18 | 2020 | 13 | |
| 19 | 2019 | 12 | |
| 20 | 2022 | 9 |
About Barbaros Yet
Barbaros Yet is a scholar working on Artificial Intelligence, Management Science and Operations Research, Statistics, Probability and Uncertainty, Health Information Management and Safety, Risk, Reliability and Quality, having authored 41 papers that have together received 765 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (17 papers), Risk and Safety Analysis (4 papers), Multi-Criteria Decision Making (4 papers), Electronic Health Records Systems (4 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers), Reliability and Maintenance Optimization (3 papers), Software Reliability and Analysis Research (3 papers) and Fuzzy Systems and Optimization (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (72 citations), Management Science and Operations Research (124 citations), Critical Care and Intensive Care Medicine (34 citations), Health Informatics (9 citations) and Emergency Medicine (51 citations). Barbaros Yet has collaborated with scholars based in United Kingdom, Türkiye and United States. Frequent co-authors include Zane Perkins, William Marsh, Nigel Tai, Norman Fenton, Martin Neil, Anthony C. Constantinou, Todd E. Rasmussen, Keith Shepherd, Simon Glasgow and Eike Luedeling. Their work appears in journals such as Expert Systems with Applications, Journal of Biomedical Informatics, Annals of Operations Research, Annals of Surgery and Knowledge-Based Systems.
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.