Ali Emre Kavur

9 papers and 173 indexed citations i.

About

Ali Emre Kavur is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ali Emre Kavur has authored 9 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ali Emre Kavur’s work include COVID-19 diagnosis using AI (4 papers), Medical Image Segmentation Techniques (3 papers) and Advanced Data Compression Techniques (2 papers). Ali Emre Kavur is often cited by papers focused on COVID-19 diagnosis using AI (4 papers), Medical Image Segmentation Techniques (3 papers) and Advanced Data Compression Techniques (2 papers). Ali Emre Kavur collaborates with scholars based in Türkiye, South Sudan and Germany. Ali Emre Kavur's co-authors include M. Alper Selver, Naciye Sinem Gezer, Pierre-Henri Conze, Yannick Le Meur, François Rousseau, Émilie Cornec-Le Gall, Oğuz Dıcle, Gözde Bozdağı Akar, Savaş Özkan and Bora Baydar and has published in prestigious journals such as Expert Systems with Applications, Medical Physics and Artificial Intelligence in Medicine.

In The Last Decade

Co-authorship network of co-authors of Ali Emre Kavur i

Fields of papers citing papers by Ali Emre Kavur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali Emre Kavur. 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 Ali Emre Kavur. The network helps show where Ali Emre Kavur may publish in the future.

Countries citing papers authored by Ali Emre Kavur

Since Specialization
Citations

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