Dale Gerdemann

12 papers and 63 indexed citations i.

About

Dale Gerdemann is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dale Gerdemann has authored 12 papers receiving a total of 63 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dale Gerdemann’s work include Natural Language Processing Techniques (7 papers), Logic, programming, and type systems (5 papers) and semigroups and automata theory (3 papers). Dale Gerdemann is often cited by papers focused on Natural Language Processing Techniques (7 papers), Logic, programming, and type systems (5 papers) and semigroups and automata theory (3 papers). Dale Gerdemann collaborates with scholars based in Germany, United States and The Netherlands. Dale Gerdemann's co-authors include Gertjan van Noord, Erhard Hinrichs, Detmar Meurers, Betty J. Mohler, Guido Minnen, HH Bülthoff and Jianqiang Ma and has published in prestigious journals such as Lecture notes in computer science, New Generation Computing and ˜The œFibonacci quarterly.

In The Last Decade

Co-authorship network of co-authors of Dale Gerdemann i

Fields of papers citing papers by Dale Gerdemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dale Gerdemann

Since Specialization
Citations

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