Mario Werner

8 papers and 75 indexed citations i.

About

Mario Werner is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Mario Werner has authored 8 papers receiving a total of 75 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Mario Werner’s work include Cryptographic Implementations and Security (6 papers), Security and Verification in Computing (6 papers) and Advanced Malware Detection Techniques (3 papers). Mario Werner is often cited by papers focused on Cryptographic Implementations and Security (6 papers), Security and Verification in Computing (6 papers) and Advanced Malware Detection Techniques (3 papers). Mario Werner collaborates with scholars based in Austria and Germany. Mario Werner's co-authors include Stefan Mangard, Thomas Unterluggauer, Daniel Gruss, Michael Schwarz, Lukas Giner, Robert Schilling and Claudio Canella and has published in prestigious journals such as Journal of Cryptographic Engineering, USENIX Security Symposium and INDIGO (University of Illinois at Chicago).

In The Last Decade

Co-authorship network of co-authors of Mario Werner i

Fields of papers citing papers by Mario Werner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Werner

Since Specialization
Citations

This map shows the geographic impact of Mario Werner'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 Mario Werner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Werner 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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2025