Sarvnaz Karimi

49 papers and 754 indexed citations i.

About

Sarvnaz Karimi is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Sarvnaz Karimi has authored 49 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 20 papers in Molecular Biology and 8 papers in Information Systems. Recurrent topics in Sarvnaz Karimi’s work include Topic Modeling (24 papers), Biomedical Text Mining and Ontologies (19 papers) and Natural Language Processing Techniques (10 papers). Sarvnaz Karimi is often cited by papers focused on Topic Modeling (24 papers), Biomedical Text Mining and Ontologies (19 papers) and Natural Language Processing Techniques (10 papers). Sarvnaz Karimi collaborates with scholars based in Australia, United States and China. Sarvnaz Karimi's co-authors include Cécile Paris, Chen Wang, Alejandro Metke‐Jimenez, Madonna Kemp, Falk Scholer, Xiang Dai, Ben Hachey, Anthony Nguyen, Ross Sparks and Raj Gaire and has published in prestigious journals such as PLoS ONE, BMC Bioinformatics and ACM Computing Surveys.

In The Last Decade

Co-authorship network of co-authors of Sarvnaz Karimi i

Fields of papers citing papers by Sarvnaz Karimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sarvnaz Karimi

Since Specialization
Citations

This map shows the geographic impact of Sarvnaz Karimi'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 Sarvnaz Karimi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarvnaz Karimi 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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2025