Tunç Aşuroğlu

40 papers and 284 indexed citations i.

About

Tunç Aşuroğlu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tunç Aşuroğlu has authored 40 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tunç Aşuroğlu’s work include Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced Neural Network Applications (3 papers) and Radiation Therapy and Dosimetry (3 papers). Tunç Aşuroğlu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced Neural Network Applications (3 papers) and Radiation Therapy and Dosimetry (3 papers). Tunç Aşuroğlu collaborates with scholars based in Türkiye, Finland and Norway. Tunç Aşuroğlu's co-authors include Hasan Oğul, Koray Açıcı, Mehmet Serdar Güzel, Erkan Bostancı, Çağatay Berke Erdaş, Hamit Erdem, M. Kılınç Toprak, Ricardo Colomo‐Palacios, Alejandro Baldominos and Kıvanç Kamburoğlu and has published in prestigious journals such as Scientific Reports, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Tunç Aşuroğlu i

Fields of papers citing papers by Tunç Aşuroğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tunç Aşuroğlu

Since Specialization
Citations

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