Mark Scanlon

1.9k citations
82 papers · 1.1k · h-index 17

Impact in

Papers in

Mark Scanlon

78 papers receiving 1.1k citations

Peers

Mark Scanlon
Comparison fields: 5 of 99
  • Signal Processing 599
  • Information Systems 582
  • Small Animals 116
  • Computer Networks and Communications 322
  • Health Informatics 16
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Citations per field
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Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside Mark Scanlon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Scanlon Line = papers co-authored together Mark Scanlon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018156
2
Proceedings of 10th International Conference on Availability, Reliability and Security (ARES 2015)
2015135
3 2005122
4 202336
5 202233
6 202328
7 201627
8 202126
9 201425
10 201525
11 202023
12 201722
13 202120
14
Tiered Forensic Methodology Model for Digital Field Triage by Non-Digital Evidence Specialists
201819
15 201818
16 202118
17 201517
18 201816
19 202016
20 201416

About Mark Scanlon

Mark Scanlon is a scholar working on Information Systems, Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, having authored 82 papers that have together received 1.1k indexed citations. Recurring topics across this work include Digital and Cyber Forensics (46 papers), Advanced Malware Detection Techniques (46 papers), Digital Media Forensic Detection (19 papers), Internet Traffic Analysis and Secure E-voting (15 papers), User Authentication and Security Systems (9 papers), Network Security and Intrusion Detection (8 papers), Peer-to-Peer Network Technologies (7 papers) and Cryptographic Implementations and Security (7 papers). The work is most often cited by research in Signal Processing (599 citations), Information Systems (582 citations), Small Animals (116 citations), Computer Networks and Communications (322 citations) and Health Informatics (16 citations). Mark Scanlon has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Nhien‐An Le‐Khac, Quan Le, Oisín Boydell, Brian Mac Namee, Frank Breitinger, Iwen Coisel, Tahar Kechadi, Christopher Hargreaves, David Lillis and Syed S. H. Rizvi. Their work appears in journals such as Forensic Science International Digital Investigation, Digital Investigation, IEEE Access, Letters in Applied Microbiology and Electronics.

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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