Gerhard Goos

23 papers and 1.8k indexed citations i.

About

Gerhard Goos is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gerhard Goos has authored 23 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 4 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gerhard Goos’s work include Logic, programming, and type systems (2 papers), Image Retrieval and Classification Techniques (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Gerhard Goos is often cited by papers focused on Logic, programming, and type systems (2 papers), Image Retrieval and Classification Techniques (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Gerhard Goos collaborates with scholars based in United States, Germany and United Kingdom. Gerhard Goos's co-authors include Universit it Postfach, Druckhaus Beltz, Sam Toueg, Paul Spirakis, Lefteris M. Kirousis, Jan Van Leeuwen, Hans–Paul Schwefel, Yuval Davidor, Shankar Sastry and Anil Nerode and has published in prestigious journals such as Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Gerhard Goos i

Fields of papers citing papers by Gerhard Goos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gerhard Goos

Since Specialization
Citations

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