Utku Evci

6 papers and 45 indexed citations i.

About

Utku Evci is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Utku Evci has authored 6 papers receiving a total of 45 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Utku Evci’s work include Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and COVID-19 diagnosis using AI (1 paper). Utku Evci is often cited by papers focused on Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and COVID-19 diagnosis using AI (1 paper). Utku Evci collaborates with scholars based in United States, United Kingdom and Israel. Utku Evci's co-authors include Yann Dauphin, Erich Elsen, Jacob Menick, Trevor Gale, Pablo Samuel Castro, V. Uğur Güney, Léon Bottou, Levent Sagun, Cem Keskin and Yani Ioannou and has published in prestigious journals such as Infoscience (Ecole Polytechnique Fédérale de Lausanne), Neural Information Processing Systems and International Conference on Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Utku Evci i

Fields of papers citing papers by Utku Evci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Utku Evci

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025