Arif Gülten

26 papers and 479 indexed citations i.

About

Arif Gülten is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Arif Gülten has authored 26 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Arif Gülten’s work include Chaos control and synchronization (6 papers), Chaos-based Image/Signal Encryption (4 papers) and Imbalanced Data Classification Techniques (3 papers). Arif Gülten is often cited by papers focused on Chaos control and synchronization (6 papers), Chaos-based Image/Signal Encryption (4 papers) and Imbalanced Data Classification Techniques (3 papers). Arif Gülten collaborates with scholars based in Türkiye, Slovenia and Italy. Arif Gülten's co-authors include Akın Özçift, Mattia Frasca, Engin Avcı, Şengül Doğan, Türker Tuncer, Hasan Kürüm, Merve Yıldırım, Yakup Demir, Mustafa Poyraz and M. Köksal and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Journal of the Franklin Institute.

In The Last Decade

Co-authorship network of co-authors of Arif Gülten i

Fields of papers citing papers by Arif Gülten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arif Gülten

Since Specialization
Citations

This map shows the geographic impact of Arif Gülten'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 Arif Gülten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arif Gülten 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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2025