Meliha Yetişgen

44 papers and 524 indexed citations i.

About

Meliha Yetişgen is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Meliha Yetişgen has authored 44 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 18 papers in Molecular Biology and 7 papers in Health Information Management. Recurrent topics in Meliha Yetişgen’s work include Topic Modeling (23 papers), Biomedical Text Mining and Ontologies (18 papers) and Machine Learning in Healthcare (16 papers). Meliha Yetişgen is often cited by papers focused on Topic Modeling (23 papers), Biomedical Text Mining and Ontologies (18 papers) and Machine Learning in Healthcare (16 papers). Meliha Yetişgen collaborates with scholars based in United States, United Kingdom and Chile. Meliha Yetişgen's co-authors include Sharon W. Kwan, Wen-wai Yim, William Proctor Harris, Mari Ostendorf, Özlem Uzuner, Peter Tarczy‐Hornoch, Daniel Capurro, Erik G. Van Eaton, Matthew Thompson and Asma Ben Abacha and has published in prestigious journals such as Journal of the American Medical Informatics Association, BMJ Open and Cancers.

In The Last Decade

Co-authorship network of co-authors of Meliha Yetişgen i

Fields of papers citing papers by Meliha Yetişgen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Meliha Yetişgen

Since Specialization
Citations

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