Serkan Günal

32 papers and 1.4k indexed citations i.

About

Serkan Günal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Serkan Günal has authored 32 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Information Systems. Recurrent topics in Serkan Günal’s work include Text and Document Classification Technologies (9 papers), Spam and Phishing Detection (7 papers) and Indoor and Outdoor Localization Technologies (3 papers). Serkan Günal is often cited by papers focused on Text and Document Classification Technologies (9 papers), Spam and Phishing Detection (7 papers) and Indoor and Outdoor Localization Technologies (3 papers). Serkan Günal collaborates with scholars based in Türkiye and Japan. Serkan Günal's co-authors include Alper Kürşat Uysal, Selcan Kaplan Berkaya, Efnan Şora Günal, Semih Ergi̇n, M. Bilginer Gülmezoğlu, Rifat Edizkan, Ömer Nezih Gerek, Cüneyt Akınlar, D.G. Ece and Kemal Özkan and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Cybernetics.

In The Last Decade

Co-authorship network of co-authors of Serkan Günal i

Fields of papers citing papers by Serkan Günal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Serkan Günal

Since Specialization
Citations

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