Rita Frieske

3 papers and 796 indexed citations i.

About

Rita Frieske is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Rita Frieske has authored 3 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Experimental and Cognitive Psychology. Recurrent topics in Rita Frieske’s work include Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Face recognition and analysis (1 paper). Rita Frieske is often cited by papers focused on Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Face recognition and analysis (1 paper). Rita Frieske collaborates with scholars based in Hong Kong, Mongolia and France. Rita Frieske's co-authors include Tiezheng Yu, Yan Xu, Pascale Fung, Ziwei Ji, Etsuko Ishii, Andrea Madotto, Dan Su, Nayeon Lee, Verna Dankers and Mario Giulianelli and has published in prestigious journals such as ACM Computing Surveys, Nature Machine Intelligence and Interspeech 2022.

In The Last Decade

Co-authorship network of co-authors of Rita Frieske i

Fields of papers citing papers by Rita Frieske

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rita Frieske

Since Specialization
Citations

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