Engin Türetken

46 total papers · 2.2k total citations
29 papers, 1.3k citations indexed

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 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 12 papers in Biophysics and 5 papers in Artificial Intelligence. Recurrent topics in Engin Türetken's work include Cell Image Analysis Techniques (12 papers), Advanced Vision and Imaging (12 papers) and Retinal Imaging and Analysis (5 papers). Engin Türetken is often cited by papers focused on Cell Image Analysis Techniques (12 papers), Advanced Vision and Imaging (12 papers) and Retinal Imaging and Analysis (5 papers). Engin Türetken collaborates with scholars based in Switzerland, United States and Spain. 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

Engin Türetken

28 papers receiving 1.3k citations

Hit Papers

Multiple Object Tracking ... 2011 2026 2016 2021 2011 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Engin Türetken 955 257 193 131 122 29 1.3k
Jae-Yeal Nam 1.0k 1.1× 162 0.6× 71 0.4× 126 1.0× 62 0.5× 56 1.4k
G. Borgefors 810 0.8× 146 0.6× 196 1.0× 170 1.3× 107 0.9× 25 1.2k
Kari Saarinen 660 0.7× 156 0.6× 50 0.3× 170 1.3× 118 1.0× 38 1.3k
Alex Zelinsky 1.2k 1.3× 208 0.8× 58 0.3× 264 2.0× 61 0.5× 50 1.8k
Per‐Erik Danielsson 891 0.9× 203 0.8× 52 0.3× 83 0.6× 240 2.0× 32 1.8k
Haipeng Chen 707 0.7× 174 0.7× 98 0.5× 280 2.1× 80 0.7× 100 1.2k
Stefano Ghidoni 801 0.8× 340 1.3× 52 0.3× 142 1.1× 163 1.3× 76 1.6k
Michel Couprie 961 1.0× 84 0.3× 115 0.6× 106 0.8× 143 1.2× 67 1.4k
J. R. Parker 670 0.7× 228 0.9× 33 0.2× 181 1.4× 73 0.6× 43 1.5k
Zichen Zhang 842 0.9× 417 1.6× 29 0.2× 208 1.6× 187 1.5× 39 1.7k

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).

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.

Co-authorship network of co-authors of Engin Türetken

This figure shows the co-authorship network connecting the top 25 collaborators of Engin Türetken. A scholar is included among the top collaborators of Engin Türetken based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Engin Türetken. Engin Türetken is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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