Ergun Biçici

About

Ergun Biçici is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Ergun Biçici has authored 29 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Molecular Biology. Recurrent topics in Ergun Biçici’s work include Natural Language Processing Techniques (25 papers), Topic Modeling (24 papers) and Text Readability and Simplification (9 papers). Ergun Biçici is often cited by papers focused on Natural Language Processing Techniques (25 papers), Topic Modeling (24 papers) and Text Readability and Simplification (9 papers). Ergun Biçici collaborates with scholars based in Ireland, Türkiye and China. Ergun Biçici's co-authors include Deniz Yüret, Andy Way, Josef van Genabith, Qun Liu, Declan Groves, Lucia Specia, Eleftherios Avramidis, Kashif Shah and Süleyman S. Kozat and has published in prestigious journals such as IEEE Access, IEEE/ACM Transactions on Audio Speech and Language Processing and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Ergun Biçici i

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Fields of papers citing papers by Ergun Biçici

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ergun Biçici

Since Specialization

Citations

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