Onur Teymur

About

Onur Teymur is a scholar working on Artificial Intelligence, Statistics and Probability and Statistics, Probability and Uncertainty. According to data from OpenAlex, Onur Teymur has authored 5 papers receiving a total of 24 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Statistics and Probability and 2 papers in Statistics, Probability and Uncertainty. Recurrent topics in Onur Teymur’s work include Gaussian Processes and Bayesian Inference (3 papers), Statistical Methods and Bayesian Inference (1 paper) and Markov Chains and Monte Carlo Methods (1 paper). Onur Teymur is often cited by papers focused on Gaussian Processes and Bayesian Inference (3 papers), Statistical Methods and Bayesian Inference (1 paper) and Markov Chains and Monte Carlo Methods (1 paper). Onur Teymur collaborates with scholars based in United Kingdom, United States and Australia. Onur Teymur's co-authors include Ben Calderhead, Konstantinos C. Zygalakis, Chris J. Oates, Tim Sullivan, Jon Cockayne, Jackson Gorham, Philipp Hennig, François‐Xavier Briol and William Weimin Yoo and has published in prestigious journals such as Bayesian Analysis, Annual Review of Statistics and Its Application and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Onur Teymur i

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Fields of papers citing papers by Onur Teymur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Onur Teymur. 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 Onur Teymur. The network helps show where Onur Teymur may publish in the future.

Countries citing papers authored by Onur Teymur

Since Specialization

Citations

This map shows the geographic impact of Onur Teymur'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 Onur Teymur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Onur Teymur 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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