Kim Gerdes

4 papers and 24 indexed citations i.

About

Kim Gerdes is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Kim Gerdes has authored 4 papers receiving a total of 24 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Experimental and Cognitive Psychology. Recurrent topics in Kim Gerdes’s work include Topic Modeling (2 papers), Natural Language Processing Techniques (2 papers) and Intellectual Property and Patents (1 paper). Kim Gerdes is often cited by papers focused on Topic Modeling (2 papers), Natural Language Processing Techniques (2 papers) and Intellectual Property and Patents (1 paper). Kim Gerdes collaborates with scholars based in France and China. Kim Gerdes's co-authors include Timothy Osborne, Cédric Gendrot and Martine Adda‐Decker and has published in prestigious journals such as Langue française, Glossa a journal of general linguistics and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Kim Gerdes i

Fields of papers citing papers by Kim Gerdes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kim Gerdes

Since Specialization
Citations

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