Emine Uçar

15 papers and 541 indexed citations i.

About

Emine Uçar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Emine Uçar has authored 15 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Emine Uçar’s work include Speech and Audio Processing (3 papers), Digital Imaging for Blood Diseases (2 papers) and AI in cancer detection (2 papers). Emine Uçar is often cited by papers focused on Speech and Audio Processing (3 papers), Digital Imaging for Blood Diseases (2 papers) and AI in cancer detection (2 papers). Emine Uçar collaborates with scholars based in Türkiye and United States. Emine Uçar's co-authors include Murat Uçar, Ümit Atila, Kemal Akyol, Baha Şen, Dursun Delen, Utku Köse and Abdullah Çavuşoğlu and has published in prestigious journals such as Expert Systems with Applications, Environmental Science and Pollution Research and Biomedical Signal Processing and Control.

In The Last Decade

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

Fields of papers citing papers by Emine Uçar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Emine Uçar

Since Specialization
Citations

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