Muhittin Gökmen

27 papers and 619 indexed citations i.

About

Muhittin Gökmen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Muhittin Gökmen has authored 27 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Muhittin Gökmen’s work include Face and Expression Recognition (12 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Face recognition and analysis (8 papers). Muhittin Gökmen is often cited by papers focused on Face and Expression Recognition (12 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Face recognition and analysis (8 papers). Muhittin Gökmen collaborates with scholars based in Türkiye, United States and Denmark. Muhittin Gökmen's co-authors include Emrah Başaran, Mustafa E. Kamaşak, Mubarak Shah, Mahdi M. Kalayeh, Anil K. Jain, Alper Yılmaz, Birkan Tunç, Sune Darkner, Rasmus Larsen and Richard Hall and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Muhittin Gökmen i

Fields of papers citing papers by Muhittin Gökmen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Muhittin Gökmen

Since Specialization
Citations

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