Ürün Doǧan

11 papers and 118 indexed citations i.

About

Ürün Doǧan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Ürün Doǧan has authored 11 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Mechanics. Recurrent topics in Ürün Doǧan’s work include Face and Expression Recognition (5 papers), Machine Learning and Algorithms (4 papers) and Machine Learning and ELM (3 papers). Ürün Doǧan is often cited by papers focused on Face and Expression Recognition (5 papers), Machine Learning and Algorithms (4 papers) and Machine Learning and ELM (3 papers). Ürün Doǧan collaborates with scholars based in United States, Germany and Hong Kong. Ürün Doǧan's co-authors include Tobias Glasmachers, Marius Kloft, Yunwen Lei, Christian Igel, Ding‐Xuan Zhou, Alexander Binder, Gilles Blanchard, Eren Manavoglu, Maximilian Alber and Clayton Scott and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Information Theory and Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Ürün Doǧan i

Fields of papers citing papers by Ürün Doǧan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ürün Doǧan

Since Specialization
Citations

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