Güneş Erkan

10 papers and 1.7k indexed citations i.

About

Güneş Erkan is a scholar working on Artificial Intelligence, Molecular Biology and Industrial relations. According to data from OpenAlex, Güneş Erkan has authored 10 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Molecular Biology and 0 papers in Industrial relations. Recurrent topics in Güneş Erkan’s work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Advanced Text Analysis Techniques (5 papers). Güneş Erkan is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Advanced Text Analysis Techniques (5 papers). Güneş Erkan collaborates with scholars based in United States. Güneş Erkan's co-authors include Dragomir Radev, Arzucan Özgür, Thuy Vu, Jahna Otterbacher, Anthony Fader, Aaron Elkiss and David States and has published in prestigious journals such as Bioinformatics, Information Processing & Management and Journal of Artificial Intelligence Research.

In The Last Decade

Co-authorship network of co-authors of Güneş Erkan i

Fields of papers citing papers by Güneş Erkan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Güneş Erkan

Since Specialization
Citations

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