Barbaros Yet

38 papers and 628 indexed citations i.

About

Barbaros Yet is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, Barbaros Yet has authored 38 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 9 papers in Management Science and Operations Research and 8 papers in Statistics, Probability and Uncertainty. Recurrent topics in Barbaros Yet’s work include Bayesian Modeling and Causal Inference (15 papers), Trauma and Emergency Care Studies (6 papers) and Vascular Procedures and Complications (5 papers). Barbaros Yet is often cited by papers focused on Bayesian Modeling and Causal Inference (15 papers), Trauma and Emergency Care Studies (6 papers) and Vascular Procedures and Complications (5 papers). Barbaros Yet collaborates with scholars based in United Kingdom, Türkiye and United States. Barbaros Yet's co-authors include William Marsh, Zane Perkins, Nigel Tai, Norman Fenton, Martin Neil, Anthony C. Constantinou, Todd E. Rasmussen, Keith Shepherd, Eike Luedeling and Simon Glasgow and has published in prestigious journals such as PLoS ONE, Annals of Surgery and International Journal of Pharmaceutics.

In The Last Decade

Co-authorship network of co-authors of Barbaros Yet i

Fields of papers citing papers by Barbaros Yet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Barbaros Yet

Since Specialization
Citations

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).

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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2025