Rüdiger Loos

45 total papers · 1.6k total citations
22 papers, 494 citations indexed

About

Rüdiger Loos is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Applied Mathematics. According to data from OpenAlex, Rüdiger Loos has authored 22 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 3 papers in Applied Mathematics. Recurrent topics in Rüdiger Loos's work include Polynomial and algebraic computation (5 papers), Logic, programming, and type systems (4 papers) and Model-Driven Software Engineering Techniques (2 papers). Rüdiger Loos is often cited by papers focused on Polynomial and algebraic computation (5 papers), Logic, programming, and type systems (4 papers) and Model-Driven Software Engineering Techniques (2 papers). Rüdiger Loos collaborates with scholars based in Germany, United States and Austria. Rüdiger Loos's co-authors include George E. Collins, Bruno Buchberger, R. Albrecht, David R. Musser, Mehdi Jazayeri, R. Albrecht, Jacques Calmet, Anthony C. Hearn, Sibylle Schupp and Roland Weiß and has published in prestigious journals such as SIAM Journal on Computing, Lecture notes in computer science and The Computer Journal.

In The Last Decade

Rüdiger Loos

19 papers receiving 435 citations

Author Peers

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

Author Last Decade Papers Cites
Rüdiger Loos 334 187 73 69 51 22 494
S. R. Czapor 224 0.7× 114 0.6× 49 0.7× 47 0.7× 46 0.9× 14 406
B. F. Caviness 329 1.0× 117 0.6× 80 1.1× 93 1.3× 12 0.2× 23 487
Alkiviadis G. Akritas 273 0.8× 76 0.4× 73 1.0× 52 0.8× 23 0.5× 41 482
Thorsten Theobald 222 0.7× 75 0.4× 71 1.0× 82 1.2× 11 0.2× 42 421
B. David Saunders 318 1.0× 134 0.7× 27 0.4× 60 0.9× 32 0.6× 42 416
Bican Xia 342 1.0× 110 0.6× 113 1.5× 71 1.0× 16 0.3× 51 515
Walter Bäur 274 0.8× 114 0.6× 26 0.4× 109 1.6× 15 0.3× 18 444
Mark Giesbrecht 408 1.2× 238 1.3× 61 0.8× 63 0.9× 78 1.5× 50 538
Zhengfeng Yang 333 1.0× 100 0.5× 87 1.2× 12 0.2× 20 0.4× 45 513
Jaime Gutiérrez 216 0.6× 176 0.9× 74 1.0× 147 2.1× 84 1.6× 60 489

Countries citing papers authored by Rüdiger Loos

Since Specialization
Citations

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

Fields of papers citing papers by Rüdiger Loos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rüdiger Loos

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