Mark Scanlon

51 papers and 566 indexed citations i.

About

Mark Scanlon is a scholar working on Information Systems, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mark Scanlon has authored 51 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Information Systems, 32 papers in Signal Processing and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mark Scanlon’s work include Advanced Malware Detection Techniques (32 papers), Digital and Cyber Forensics (31 papers) and Digital Media Forensic Detection (15 papers). Mark Scanlon is often cited by papers focused on Advanced Malware Detection Techniques (32 papers), Digital and Cyber Forensics (31 papers) and Digital Media Forensic Detection (15 papers). Mark Scanlon collaborates with scholars based in Ireland, United States and United Kingdom. Mark Scanlon's co-authors include Nhien‐An Le‐Khac, Tahar Kechadi, Brian Mac Namee, Quan Le, Xiaoyu Du, Oisín Boydell, Iwen Coisel, David Lillis, R. Bey and John Fetrow and has published in prestigious journals such as Journal of Dairy Science, IEEE Access and Journal of Applied Microbiology.

In The Last Decade

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

Fields of papers citing papers by Mark Scanlon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mark Scanlon

Since Specialization
Citations

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