Bora Baydar

About

Bora Baydar is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Oceanography. According to data from OpenAlex, Bora Baydar has authored 3 papers receiving a total of 54 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Oceanography. Recurrent topics in Bora Baydar’s work include COVID-19 diagnosis using AI (2 papers), Speech and Audio Processing (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Bora Baydar is often cited by papers focused on COVID-19 diagnosis using AI (2 papers), Speech and Audio Processing (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Bora Baydar collaborates with scholars based in Türkiye. Bora Baydar's co-authors include Gözde Bozdağı Akar, Ali Emre Kavur, Oğuz Dıcle, Gözde Ünal, Mustafa Barış, Savaş Özkan, M. Alper Selver, Naciye Sinem Gezer and Seniha Esen Yüksel and has published in prestigious journals such as IEEE Transactions on Emerging Topics in Computational Intelligence, Diagnostic and Interventional Radiology and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Co-authorship network of co-authors of Bora Baydar i

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Fields of papers citing papers by Bora Baydar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bora Baydar

Since Specialization

Citations

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