Hasan Erbay

48 papers and 516 indexed citations i.

About

Hasan Erbay is a scholar working on Artificial Intelligence, Information Systems and Applied Mathematics. According to data from OpenAlex, Hasan Erbay has authored 48 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 9 papers in Information Systems and 7 papers in Applied Mathematics. Recurrent topics in Hasan Erbay’s work include Spam and Phishing Detection (7 papers), Sentiment Analysis and Opinion Mining (6 papers) and Approximation Theory and Sequence Spaces (5 papers). Hasan Erbay is often cited by papers focused on Spam and Phishing Detection (7 papers), Sentiment Analysis and Opinion Mining (6 papers) and Approximation Theory and Sequence Spaces (5 papers). Hasan Erbay collaborates with scholars based in Türkiye, United States and Iran. Hasan Erbay's co-authors include Enes Ayan, Kemal Üreten, Ali̇ Aral, Jesse L. Barlow, Seyhan Karaçavuş, Emre Demir, Kosta Y. Mumcuoğlu, Ayşegül Taylan Özkan, Nihan Yıldırım and Zhenyue Zhang and has published in prestigious journals such as Computers and Electronics in Agriculture, Applied Sciences and Computational Statistics & Data Analysis.

In The Last Decade

Co-authorship network of co-authors of Hasan Erbay i

Fields of papers citing papers by Hasan Erbay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hasan Erbay

Since Specialization
Citations

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