Mario Frank

13 papers and 692 indexed citations i.

About

Mario Frank is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Mario Frank has authored 13 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Signal Processing. Recurrent topics in Mario Frank’s work include Access Control and Trust (3 papers), Advanced Malware Detection Techniques (3 papers) and Natural Language Processing Techniques (3 papers). Mario Frank is often cited by papers focused on Access Control and Trust (3 papers), Advanced Malware Detection Techniques (3 papers) and Natural Language Processing Techniques (3 papers). Mario Frank collaborates with scholars based in United States, Switzerland and Germany. Mario Frank's co-authors include Dawn Song, Ivan Martinović, Ralf Biedert, Neil Zhenqiang Gong, David Basin, Prateek Mittal, Joachim M. Buhmann, Daniele Perito, Tomas Ros and Dawn Song and has published in prestigious journals such as Journal of Machine Learning Research, IEEE Transactions on Information Forensics and Security and ACM Transactions on Information and System Security.

In The Last Decade

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

Fields of papers citing papers by Mario Frank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Frank

Since Specialization
Citations

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