Dilan Görür

11 papers and 383 indexed citations i.

About

Dilan Görür is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dilan Görür has authored 11 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Statistics and Probability and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dilan Görür’s work include Bayesian Methods and Mixture Models (9 papers), Statistical Distribution Estimation and Applications (2 papers) and Data Management and Algorithms (2 papers). Dilan Görür is often cited by papers focused on Bayesian Methods and Mixture Models (9 papers), Statistical Distribution Estimation and Applications (2 papers) and Data Management and Algorithms (2 papers). Dilan Görür collaborates with scholars based in United Kingdom, Germany and United States. Dilan Görür's co-authors include Yee Whye Teh, Carl Edward Rasmussen, Zoubin Ghahramani, Frank Jäkel, Katherine Heller, Frank Wood, Jan Gasthaus, Balaji Lakshminarayanan, Eric Nalisnick and Max Welling and has published in prestigious journals such as Journal of Computational and Graphical Statistics, Journal of Computer Science and Technology and MPG.PuRe (Max Planck Society).

In The Last Decade

Co-authorship network of co-authors of Dilan Görür i

Fields of papers citing papers by Dilan Görür

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dilan Görür

Since Specialization
Citations

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