Gerhard Goos

119 papers and 3.4k indexed citations i.

About

Gerhard Goos is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gerhard Goos has authored 119 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 20 papers in Computer Networks and Communications and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gerhard Goos’s work include Chaos-based Image/Signal Encryption (9 papers), Logic, Reasoning, and Knowledge (9 papers) and Distributed and Parallel Computing Systems (8 papers). Gerhard Goos is often cited by papers focused on Chaos-based Image/Signal Encryption (9 papers), Logic, Reasoning, and Knowledge (9 papers) and Distributed and Parallel Computing Systems (8 papers). Gerhard Goos collaborates with scholars based in United States, The Netherlands and Germany. Gerhard Goos's co-authors include Jan Van Leeuwen, Keith Marzullo, Jan Van Leeuwen, Jan Van Leeuwen, Mihir Bellare, Wolfgang Banzhaf, Marc Schoenauer, Riccardo Poli, Terence C. Fogarty and Yuliang Zheng and has published in prestigious journals such as Lecture notes in computer science and ACM SIGPLAN Notices.

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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