Rita Frieske

3.2k citations
3 papers · 1.5k indexed · 1 hit paper · h-index 2
Topics
Natural Language Processing Techniques (2 papers)Topic Modeling (2 papers)Face recognition and analysis (1 paper)
Journals
ACM Computing SurveysNature Machine IntelligenceRare & Special e-Zone (The Hong Kong University of Science and Technology)

In The Last Decade

Rita Frieske

3 papers receiving 1.4k citations

Hit Papers

Survey of Hallucination in Natural Language Generation202220262023202420224008001.2k

Peers

Rita Frieske
Comparison fields: 5 of 138
  • Artificial Intelligence 885
  • Health Informatics 291
  • Information Systems 171
  • Radiology, Nuclear Medicine and Imaging 117
  • Computer Vision and Pattern Recognition 114
Replace Etsuko Ishii with:
Etsuko Ishii Hong Kong
Nayeon Lee Hong Kong
Ziwei Ji Hong Kong
Andrea Madotto Hong Kong
Tiezheng Yu Hong Kong
Shizhu He China
Tianyu Wu China
Linyi Yang China
Weizhe Yuan United States
Rita Frieske relative to Etsuko Ishii Hong Kong Etsuko Ishii's profile →
Citations per field
00.5×1.5×
Etsuko Ishii · 1×
Citations per year

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).

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.

Co-authorship network of co-authors of Rita Frieske

This figure shows the co-authorship network connecting the top 25 collaborators of Rita Frieske. A scholar is included among the top collaborators of Rita Frieske based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rita Frieske. Rita Frieske is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
#WorkIndexed citations
1 29
2 1
3
Survey of Hallucination in Natural Language Generationbreakdown →
1469

About Rita Frieske

Rita Frieske is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Artificial Intelligence, having authored 3 papers that have together received 1.5k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Face recognition and analysis (1 paper). The work is most often cited by research in Health Informatics (291 citations), Artificial Intelligence (885 citations) and Safety Research (106 citations). Rita Frieske has collaborated with scholars based in Hong Kong, Denmark and United Kingdom. Frequent co-authors include Tiezheng Yu, Yan Xu, Ziwei Ji, Etsuko Ishii, Nayeon Lee, Pascale Fung, Dan Su, Andrea Madotto, Dieuwke Hupkes and Koustuv Sinha. Their work appears in journals such as ACM Computing Surveys, Nature Machine Intelligence and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

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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