Konrad Rieck

39 papers and 2.6k indexed citations i.

About

Konrad Rieck is a scholar working on Signal Processing, Artificial Intelligence and Information Systems. According to data from OpenAlex, Konrad Rieck has authored 39 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Signal Processing, 18 papers in Artificial Intelligence and 18 papers in Information Systems. Recurrent topics in Konrad Rieck’s work include Advanced Malware Detection Techniques (28 papers), Network Security and Intrusion Detection (15 papers) and Digital Media Forensic Detection (6 papers). Konrad Rieck is often cited by papers focused on Advanced Malware Detection Techniques (28 papers), Network Security and Intrusion Detection (15 papers) and Digital Media Forensic Detection (6 papers). Konrad Rieck collaborates with scholars based in Germany, United Kingdom and Italy. Konrad Rieck's co-authors include Daniel J. Arp, Hugo Gascón, Michael Huebner, Michael Spreitzenbarth, Fabian Yamaguchi, Thorsten Holz, Carsten Willems, Philipp Trinius, Nico Golde and Ulf Brefeld and has published in prestigious journals such as Journal of Machine Learning Research, Journal of Artificial Intelligence Research and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Konrad Rieck i

Fields of papers citing papers by Konrad Rieck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Konrad Rieck

Since Specialization
Citations

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

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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