Engin Türetken

24 papers and 1.2k indexed citations i.

About

Engin Türetken is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Artificial Intelligence. According to data from OpenAlex, Engin Türetken has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 10 papers in Biophysics and 4 papers in Artificial Intelligence. Recurrent topics in Engin Türetken’s work include Advanced Vision and Imaging (11 papers), Cell Image Analysis Techniques (10 papers) and Medical Image Segmentation Techniques (4 papers). Engin Türetken is often cited by papers focused on Advanced Vision and Imaging (11 papers), Cell Image Analysis Techniques (10 papers) and Medical Image Segmentation Techniques (4 papers). Engin Türetken collaborates with scholars based in Switzerland, United States and Czechia. Engin Türetken's co-authors include Pascal Fua, François Fleuret, Jérôme Berclaz, Fethallah Benmansour, Xinchao Wang, Germán González, Vincent Lepetit, Amos Sironi, Christian Blum and Hanspeter Pfister and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and Medical Image Analysis.

In The Last Decade

Co-authorship network of co-authors of Engin Türetken i

Fields of papers citing papers by Engin Türetken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Engin Türetken

Since Specialization
Citations

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