Burcu Can

31 papers and 179 indexed citations i.

About

Burcu Can is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Burcu Can has authored 31 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Signal Processing. Recurrent topics in Burcu Can’s work include Topic Modeling (24 papers), Natural Language Processing Techniques (22 papers) and Text Readability and Simplification (5 papers). Burcu Can is often cited by papers focused on Topic Modeling (24 papers), Natural Language Processing Techniques (22 papers) and Text Readability and Simplification (5 papers). Burcu Can collaborates with scholars based in Türkiye, United Kingdom and Mexico. Burcu Can's co-authors include Grigori Sidorov, Alexander Gelbukh, Suresh Manandhar, Ahmet Üstün, Murathan Kurfalı, Sevil Şen, D. Dal, Ayça Tarhan and Ibrahim M. Ziyal and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Acta Neurochirurgica.

In The Last Decade

Co-authorship network of co-authors of Burcu Can i

Fields of papers citing papers by Burcu Can

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Burcu Can

Since Specialization
Citations

This map shows the geographic impact of Burcu Can'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 Burcu Can with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Burcu Can 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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2025