Arda Çelebi

9 papers and 146 indexed citations i.

About

Arda Çelebi is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Arda Çelebi has authored 9 papers receiving a total of 146 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Management Science and Operations Research. Recurrent topics in Arda Çelebi’s work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Advanced Text Analysis Techniques (3 papers). Arda Çelebi is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Advanced Text Analysis Techniques (3 papers). Arda Çelebi collaborates with scholars based in Türkiye and United States. Arda Çelebi's co-authors include Arzucan Özgür, Dragomir Radev, Simone Teufel, Wai Lam, Horacio Saggion, Adam Winkel, Sasha Blair-Goldensohn, John Blitzer, Danyu Liu and Stanko Dimitrov and has published in prestigious journals such as Language Resources and Evaluation, Journal of the Association for Information Science and Technology and Natural Language Engineering.

In The Last Decade

Co-authorship network of co-authors of Arda Çelebi i

Fields of papers citing papers by Arda Çelebi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arda Çelebi

Since Specialization
Citations

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