Anıl Genç

4 papers and 340 indexed citations i.

About

Anıl Genç is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Anıl Genç has authored 4 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Anıl Genç’s work include Advanced Neural Network Applications (1 paper), Image Enhancement Techniques (1 paper) and Cell Image Analysis Techniques (1 paper). Anıl Genç is often cited by papers focused on Advanced Neural Network Applications (1 paper), Image Enhancement Techniques (1 paper) and Cell Image Analysis Techniques (1 paper). Anıl Genç collaborates with scholars based in Türkiye. Anıl Genç's co-authors include Hazım Kemal Ekenel, Engin Deniz, Aslı Çakır, Behçet Uğur Töreyın and Rıfat Hacioğlu and has published in prestigious journals such as Multimedia Tools and Applications, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) and World Academy of Science, Engineering and Technology, International Journal of Environmental, Chemical, Ecological, Geological and Geophysical Engineering.

In The Last Decade

Co-authorship network of co-authors of Anıl Genç i

Fields of papers citing papers by Anıl Genç

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anıl Genç

Since Specialization
Citations

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