Mark Stamp

88 papers and 1.5k indexed citations i.

About

Mark Stamp is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Mark Stamp has authored 88 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Signal Processing, 42 papers in Computer Networks and Communications and 41 papers in Artificial Intelligence. Recurrent topics in Mark Stamp’s work include Advanced Malware Detection Techniques (51 papers), Network Security and Intrusion Detection (41 papers) and Anomaly Detection Techniques and Applications (15 papers). Mark Stamp is often cited by papers focused on Advanced Malware Detection Techniques (51 papers), Network Security and Intrusion Detection (41 papers) and Anomaly Detection Techniques and Applications (15 papers). Mark Stamp collaborates with scholars based in United States, Italy and Czechia. Mark Stamp's co-authors include Fabio Di Troia, Thomas H. Austin, Peter Stavroulakis, Corrado Aaron Visaggio, Richard M. Low, Clyde F. Martin, Younghee Park, Douglas S. Reeves, William Andreopoulos and Katerina Potika and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and Communications of the ACM.

In The Last Decade

Co-authorship network of co-authors of Mark Stamp i

Fields of papers citing papers by Mark Stamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mark Stamp

Since Specialization
Citations

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