Engin Erzin

75 papers and 935 indexed citations i.

About

Engin Erzin is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Engin Erzin has authored 75 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Signal Processing, 35 papers in Computer Vision and Pattern Recognition and 32 papers in Artificial Intelligence. Recurrent topics in Engin Erzin’s work include Speech and Audio Processing (39 papers), Speech Recognition and Synthesis (20 papers) and Music and Audio Processing (18 papers). Engin Erzin is often cited by papers focused on Speech and Audio Processing (39 papers), Speech Recognition and Synthesis (20 papers) and Music and Audio Processing (18 papers). Engin Erzin collaborates with scholars based in Türkiye, United States and Belgium. Engin Erzin's co-authors include Y. Yemez, A. Murat Tekalp, A. Enis Çetin, Mehmet Emre Sargin, Orhan Arıkan, Elif Bozkurt, H. Ertan Çetingül, F. Jabloun, A. Tanju Erdem and Ferda Ofli and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Signal Processing.

In The Last Decade

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

Fields of papers citing papers by Engin Erzin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Engin Erzin

Since Specialization
Citations

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