Gülşen Eryiğit

33 papers and 1.4k indexed citations i.

About

Gülşen Eryiğit is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Gülşen Eryiğit has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Gülşen Eryiğit’s work include Natural Language Processing Techniques (26 papers), Topic Modeling (24 papers) and Text Readability and Simplification (7 papers). Gülşen Eryiğit is often cited by papers focused on Natural Language Processing Techniques (26 papers), Topic Modeling (24 papers) and Text Readability and Simplification (7 papers). Gülşen Eryiğit collaborates with scholars based in Türkiye, Sweden and Italy. Gülşen Eryiğit's co-authors include Joakim Nivre, Jens Nilsson, Svetoslav Marinov, Johan Hall, Sandra Kübler, Kemal Oflazer, Erwin Marsi, Bing Qin, Yanyan Zhao and Véronique Hoste and has published in prestigious journals such as Knowledge-Based Systems, Information Processing & Management and Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Gülşen Eryiğit i

Fields of papers citing papers by Gülşen Eryiğit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gülşen Eryiğit

Since Specialization
Citations

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