Semih Ergi̇n

About

Semih Ergi̇n is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Semih Ergi̇n has authored 36 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Semih Ergi̇n’s work include Face and Expression Recognition (7 papers), Text and Document Classification Technologies (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Semih Ergi̇n is often cited by papers focused on Face and Expression Recognition (7 papers), Text and Document Classification Technologies (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Semih Ergi̇n collaborates with scholars based in Türkiye and Czechia. Semih Ergi̇n's co-authors include M. Bilginer Gülmezoğlu, Alper Kürşat Uysal, Efnan Şora Günal, Serkan Günal, Selcan Kaplan Berkaya, Şahin Işık, Kemal Özkan, Ömer Nezih Gerek, Rifat Edizkan and Atalay Barkana and has published in prestigious journals such as Expert Systems with Applications, Waste Management and Computers in Biology and Medicine.

In The Last Decade

Co-authorship network of co-authors of Semih Ergi̇n i

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Fields of papers citing papers by Semih Ergi̇n

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Semih Ergi̇n

Since Specialization

Citations

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