Fatma Güney

About

Fatma Güney is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Astronomy and Astrophysics. According to data from OpenAlex, Fatma Güney has authored 13 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Astronomy and Astrophysics. Recurrent topics in Fatma Güney’s work include Video Surveillance and Tracking Methods (4 papers), Face recognition and analysis (3 papers) and Face and Expression Recognition (3 papers). Fatma Güney is often cited by papers focused on Video Surveillance and Tracking Methods (4 papers), Face recognition and analysis (3 papers) and Face and Expression Recognition (3 papers). Fatma Güney collaborates with scholars based in Türkiye, Germany and Switzerland. Fatma Güney's co-authors include Aseem Behl, Andreas Geiger, Joel Janai, Aykut Erdem, Erkut Erdem, Hazım Kemal Ekenel, João F. Henriques, T. Şahìn, S. Bilir and Robin Chan and has published in prestigious journals such as Astronomische Nachrichten, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Co-authorship network of co-authors of Fatma Güney i

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Fields of papers citing papers by Fatma Güney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fatma Güney

Since Specialization

Citations

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