Tunga Güngör

52 papers and 591 indexed citations i.

About

Tunga Güngör is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Tunga Güngör has authored 52 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 11 papers in Information Systems. Recurrent topics in Tunga Güngör’s work include Topic Modeling (29 papers), Natural Language Processing Techniques (28 papers) and Text and Document Classification Technologies (12 papers). Tunga Güngör is often cited by papers focused on Topic Modeling (29 papers), Natural Language Processing Techniques (28 papers) and Text and Document Classification Technologies (12 papers). Tunga Güngör collaborates with scholars based in Türkiye, United States and Canada. Tunga Güngör's co-authors include Haşim Sak, Murat Saraçlar, Şerafettin Taşcı, Fikret Gürgen, A. Sumru Özsoy, Bülent Sankur, Can Özturan, Pınar Yolum, Suzan Üsküdarlı and Can Alkan and has published in prestigious journals such as Bioinformatics, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Tunga Güngör i

Fields of papers citing papers by Tunga Güngör

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tunga Güngör

Since Specialization
Citations

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