Uğur Erkan

57 papers and 1.5k indexed citations i.

About

Uğur Erkan is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Uğur Erkan has authored 57 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 19 papers in Statistical and Nonlinear Physics and 12 papers in Artificial Intelligence. Recurrent topics in Uğur Erkan’s work include Chaos-based Image/Signal Encryption (31 papers), Chaos control and synchronization (19 papers) and Image and Signal Denoising Methods (13 papers). Uğur Erkan is often cited by papers focused on Chaos-based Image/Signal Encryption (31 papers), Chaos control and synchronization (19 papers) and Image and Signal Denoising Methods (13 papers). Uğur Erkan collaborates with scholars based in Türkiye, China and Australia. Uğur Erkan's co-authors include Abdurrahim Toktaş, Serdar Enginoğlu, Qiang Lai, Levent GÖKREM, Samet Memiş, Suo Gao, Dang N. H. Thanh, Deniz Üstün, Le Minh Hieu and Zekí Yetgín and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Uğur Erkan i

Fields of papers citing papers by Uğur Erkan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Uğur Erkan

Since Specialization
Citations

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