Markus Rückert

31 total papers · 789 total citations
6 papers, 35 citations indexed

About

Markus Rückert is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Organic Chemistry. According to data from OpenAlex, Markus Rückert has authored 6 papers receiving a total of 35 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Electrical and Electronic Engineering and 1 paper in Organic Chemistry. Recurrent topics in Markus Rückert's work include Cryptography and Data Security (4 papers), Coding theory and cryptography (2 papers) and Cryptographic Implementations and Security (2 papers). Markus Rückert is often cited by papers focused on Cryptography and Data Security (4 papers), Coding theory and cryptography (2 papers) and Cryptographic Implementations and Security (2 papers). Markus Rückert collaborates with scholars based in Germany, Democratic Republic of the Congo and Slovakia. Markus Rückert's co-authors include Johannes Buchmann, Erik Dahmen, Andreas Hülsing, Richard Lindner, Michael Schneider, Pierre-Louis Cayrel, Wael Saeb, Virima Mudogo and Gerhard Bringmann and has published in prestigious journals such as Magnetic Resonance in Chemistry, Computing and Tatra Mountains Mathematical Publications.

In The Last Decade

Markus Rückert

6 papers receiving 33 citations

Author Peers

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

Author Last Decade Papers Cites
Markus Rückert 27 16 11 5 4 6 35
Thomas Prest 37 1.4× 18 1.1× 11 1.0× 6 1.2× 5 1.3× 6 43
Björn Tackmann 34 1.3× 26 1.6× 17 1.5× 4 0.8× 8 2.0× 7 45
Aurore Guillevic 38 1.4× 27 1.7× 8 0.7× 3 0.6× 3 0.8× 8 47
Daniel Cabarcas 25 0.9× 28 1.8× 13 1.2× 3 0.6× 8 2.0× 8 47
Yan-Cheng Chang 24 0.9× 6 0.4× 11 1.0× 5 1.0× 5 1.3× 5 31
Huaxiong Wang 28 1.0× 11 0.7× 5 0.5× 8 1.6× 6 1.5× 4 33
Zi Wang 34 1.3× 25 1.6× 9 0.8× 2 0.4× 4 1.0× 7 58
E. Golobardes 20 0.7× 7 0.4× 8 0.7× 4 0.8× 3 0.8× 5 37
Saikrishna Badrinarayanan 22 0.8× 13 0.8× 4 0.4× 5 1.0× 7 1.8× 6 31
Hüseyin Hışıl 33 1.2× 30 1.9× 6 0.5× 6 1.2× 6 1.5× 10 39

Countries citing papers authored by Markus Rückert

Since Specialization
Citations

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

Fields of papers citing papers by Markus Rückert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Rückert

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