Ruediger Kays

111 total papers · 646 total citations
84 papers, 456 citations indexed

About

Ruediger Kays is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Biomedical Engineering. According to data from OpenAlex, Ruediger Kays has authored 84 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Electrical and Electronic Engineering, 56 papers in Computer Networks and Communications and 12 papers in Biomedical Engineering. Recurrent topics in Ruediger Kays's work include Power Line Communications and Noise (21 papers), Wireless Networks and Protocols (17 papers) and Advanced MIMO Systems Optimization (16 papers). Ruediger Kays is often cited by papers focused on Power Line Communications and Noise (21 papers), Wireless Networks and Protocols (17 papers) and Advanced MIMO Systems Optimization (16 papers). Ruediger Kays collaborates with scholars based in Germany, Pakistan and United States. Ruediger Kays's co-authors include Rolf Kraemer, Christian Schilling, Johannes Klein, Oliver Hoffmann, Gerhard Fohler, M. Methfessel, Stefan Nowak, Uwe Meier, Christian Rehtanz and Volker Jungnickel and has published in prestigious journals such as IEEE Transactions on Smart Grid, IEEE Transactions on Industrial Informatics and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Ruediger Kays

77 papers receiving 432 citations

Author Peers

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

Author Last Decade Papers Cites
Ruediger Kays 342 281 54 36 34 84 456
Matthieu Gautier 399 1.2× 238 0.8× 51 0.9× 28 0.8× 42 1.2× 53 520
Yayu Gao 302 0.9× 368 1.3× 27 0.5× 24 0.7× 32 0.9× 56 474
Sok‐Ian Sou 425 1.2× 387 1.4× 43 0.8× 23 0.6× 21 0.6× 71 532
Hervé Guyennet 198 0.6× 353 1.3× 25 0.5× 54 1.5× 36 1.1× 60 464
Tadanori Mizuno 216 0.6× 351 1.2× 23 0.4× 41 1.1× 20 0.6× 108 470
Yoram Haddad 266 0.8× 357 1.3× 28 0.5× 27 0.8× 16 0.5× 46 491
Chandramani Singh 163 0.5× 365 1.3× 17 0.3× 21 0.6× 31 0.9× 56 502
Ke Wang 320 0.9× 358 1.3× 29 0.5× 24 0.7× 23 0.7× 75 552
Alexandre Guitton 250 0.7× 304 1.1× 27 0.5× 19 0.5× 64 1.9× 53 414
N. Correia 326 1.0× 359 1.3× 28 0.5× 46 1.3× 18 0.5× 68 548

Countries citing papers authored by Ruediger Kays

Since Specialization
Citations

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

Fields of papers citing papers by Ruediger Kays

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruediger Kays

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