Eyüp Gedіklі

14 papers and 321 indexed citations i.

About

Eyüp Gedіklі is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Eyüp Gedіklі has authored 14 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Computational Theory and Mathematics. Recurrent topics in Eyüp Gedіklі’s work include Metaheuristic Optimization Algorithms Research (5 papers), Gesture Recognition in Human-Computer Interaction (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Eyüp Gedіklі is often cited by papers focused on Metaheuristic Optimization Algorithms Research (5 papers), Gesture Recognition in Human-Computer Interaction (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Eyüp Gedіklі collaborates with scholars based in Türkiye and Kazakhstan. Eyüp Gedіklі's co-authors include Sefa Aras, Hamdi Tolga Kahraman, Murat Ekіncі, Mehmet Özeren, Mehmet Alkanat, Yusuf Sönmez and Uğur Güvenç and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Knowledge-Based Systems.

In The Last Decade

Co-authorship network of co-authors of Eyüp Gedіklі i

Fields of papers citing papers by Eyüp Gedіklі

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eyüp Gedіklі

Since Specialization
Citations

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