Georg Fuchsbauer

105 total papers · 3.0k total citations
11 papers, 129 citations indexed

About

Georg Fuchsbauer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Geometry and Topology. According to data from OpenAlex, Georg Fuchsbauer has authored 11 papers receiving a total of 129 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Geometry and Topology. Recurrent topics in Georg Fuchsbauer's work include Cryptography and Data Security (8 papers), Chaos-based Image/Signal Encryption (3 papers) and Privacy-Preserving Technologies in Data (3 papers). Georg Fuchsbauer is often cited by papers focused on Cryptography and Data Security (8 papers), Chaos-based Image/Signal Encryption (3 papers) and Privacy-Preserving Technologies in Data (3 papers). Georg Fuchsbauer collaborates with scholars based in Austria, France and United Kingdom. Georg Fuchsbauer's co-authors include Christian Hanser, Daniel Slamanig, Bogdan Warinschi, David Bernhard, Nigel P. Smart, Essam Ghadafi, Olivier Blazy, Anna Lisa Ferrara, Damien Vergnaud and Kristiyan Haralambiev and has published in prestigious journals such as Journal of Cryptology, Journal of Computer Security and International Journal of Information Security.

In The Last Decade

Georg Fuchsbauer

10 papers receiving 128 citations

Author Peers

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

Author						Papers	Cites
Georg Fuchsbauer	117	59	22	13	13	11	129
Maria Dubovitskaya	150 1.3×	75 1.3×	24 1.1×	27 2.1×	9 0.7×	10	173
Shuguo Han	157 1.3×	41 0.7×	16 0.7×	15 1.2×	12 0.9×	9	178
Christian Hanser	90 0.8×	61 1.0×	25 1.1×	12 0.9×	11 0.8×	14	124
Phillipp Schoppmann	169 1.4×	29 0.5×	16 0.7×	9 0.7×	9 0.7×	11	184
Mary Maller	128 1.1×	85 1.4×	42 1.9×	7 0.5×	9 0.7×	8	158
Kunihiko Miyazaki	105 0.9×	79 1.3×	34 1.5×	13 1.0×	5 0.4×	15	138
Jens Groth	163 1.4×	65 1.1×	37 1.7×	9 0.7×	11 0.8×	13	177
Duhyeong Kim	98 0.8×	32 0.5×	14 0.6×	6 0.5×	10 0.8×	10	120
Sophia Yakoubov	65 0.6×	50 0.8×	24 1.1×	6 0.5×	9 0.7×	8	88
Ahto Buldas	55 0.5×	64 1.1×	44 2.0×	15 1.2×	10 0.8×	14	108

Countries citing papers authored by Georg Fuchsbauer

Since Specialization

Citations

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

Fields of papers citing papers by Georg Fuchsbauer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Fuchsbauer

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Fuchsbauer. A scholar is included among the top collaborators of Georg Fuchsbauer 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 Georg Fuchsbauer. Georg Fuchsbauer 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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