Ayşegül Uçar

41 papers and 797 indexed citations i.

About

Ayşegül Uçar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Ayşegül Uçar has authored 41 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 11 papers in Control and Systems Engineering. Recurrent topics in Ayşegül Uçar’s work include Advanced Neural Network Applications (11 papers), Chaos control and synchronization (6 papers) and Video Surveillance and Tracking Methods (6 papers). Ayşegül Uçar is often cited by papers focused on Advanced Neural Network Applications (11 papers), Chaos control and synchronization (6 papers) and Video Surveillance and Tracking Methods (6 papers). Ayşegül Uçar collaborates with scholars based in Türkiye, United Kingdom and India. Ayşegül Uçar's co-authors include Yakup Demir, Cüneyt Güzelіș, Hüseyin Erişti, Mehmet Karaköse, Özal Yıldırım, U. E. Vincent, J. A. Laoye, Hasan Alli, Serdar Ethem Hamamcı and Jyotismita Chaki and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Physics Letters A.

In The Last Decade

Co-authorship network of co-authors of Ayşegül Uçar i

Fields of papers citing papers by Ayşegül Uçar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ayşegül Uçar

Since Specialization
Citations

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