Gözde Ünal

106 papers and 1.9k indexed citations i.

About

Gözde Ünal is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Gözde Ünal has authored 106 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Vision and Pattern Recognition, 19 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Biomedical Engineering. Recurrent topics in Gözde Ünal’s work include Medical Image Segmentation Techniques (31 papers), Transcranial Magnetic Stimulation Studies (15 papers) and 3D Shape Modeling and Analysis (11 papers). Gözde Ünal is often cited by papers focused on Medical Image Segmentation Techniques (31 papers), Transcranial Magnetic Stimulation Studies (15 papers) and 3D Shape Modeling and Analysis (11 papers). Gözde Ünal collaborates with scholars based in United States, Türkiye and Germany. Gözde Ünal's co-authors include Greg Slabaugh, Tong Fang, Anthony Yezzi, Marom Bikson, Andaç Hamamcı, K. Engin, N. Kucuk, Stéphane Carlier, Hamid Krim and Kutlay Karaman and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Gözde Ünal i

Fields of papers citing papers by Gözde Ünal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gözde Ünal

Since Specialization
Citations

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