Gerhard Goos

26 total papers · 501 total citations
8 papers, 186 citations indexed

About

Gerhard Goos is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Gerhard Goos has authored 8 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 2 papers in Software. Recurrent topics in Gerhard Goos's work include Model-Driven Software Engineering Techniques (1 paper), Computability, Logic, AI Algorithms (1 paper) and Software Testing and Debugging Techniques (1 paper). Gerhard Goos is often cited by papers focused on Model-Driven Software Engineering Techniques (1 paper), Computability, Logic, AI Algorithms (1 paper) and Software Testing and Debugging Techniques (1 paper). Gerhard Goos collaborates with scholars based in United States, Netherlands and Germany. Gerhard Goos's co-authors include Juris Hartmanis, Jan Van Leeuwen, J. Hartmanis, Jan Van Leeuwen, Shang‐Hua Teng, Eiji Okamoto, Jennifer Seberry and Josef Pieprzyk and has published in prestigious journals such as Mathematics of Computation, Fertility and Sterility and Lecture notes in computer science.

In The Last Decade

Gerhard Goos

8 papers receiving 165 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Gerhard Goos	108	96	84	49	24	8	186
Scott Oaks	177 1.6×	37 0.4×	109 1.3×	79 1.6×	19 0.8×	9	280
Liping Peng	116 1.1×	98 1.0×	111 1.3×	70 1.4×	6 0.3×	13	223
Stefan Heule	160 1.5×	86 0.9×	168 2.0×	68 1.4×	25 1.0×	8	274
Clark Weissman	123 1.1×	76 0.8×	178 2.1×	75 1.5×	20 0.8×	13	290
T. Milo	126 1.2×	96 1.0×	139 1.7×	68 1.4×	16 0.7×	10	233
C.J. Date	187 1.7×	134 1.4×	156 1.9×	89 1.8×	6 0.3×	11	288
Emad Soroush	213 2.0×	102 1.1×	77 0.9×	74 1.5×	12 0.5×	10	286
Octavian Procopiuc	91 0.8×	127 1.3×	77 0.9×	54 1.1×	32 1.3×	9	215
Ralf Rantzau	105 1.0×	86 0.9×	41 0.5×	72 1.5×	10 0.4×	12	159
Eirinaios Michelakis	127 1.2×	115 1.2×	143 1.7×	63 1.3×	12 0.5×	9	250

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).

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.

Co-authorship network of co-authors of Gerhard Goos

This figure shows the co-authorship network connecting the top 25 collaborators of Gerhard Goos. A scholar is included among the top collaborators of Gerhard Goos 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 Gerhard Goos. Gerhard Goos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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