Mark Scanlon

1.9k citations
67 papers · 901 · h-index 15

Impact in

Papers in

Mark Scanlon

63 papers receiving 858 citations

Peers

Mark Scanlon
Comparison fields: 5 of 89
  • Signal Processing 473
  • Information Systems 453
  • Small Animals 114
  • Health Informatics 15
  • Computer Networks and Communications 250
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Mario Baldi Italy
Peter Honeyman United States
Paul Watson United Kingdom
Mohammad Saidur Rahman Australia
Mary Beth Kery United States
Mohamed Azab Egypt
Mahfooz Alam India
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Shuyuan Zhang China
Yulong Wang China
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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 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018139
2
Proceedings of 10th International Conference on Availability, Reliability and Security (ARES 2015)
2015128
3 2005121
4 202332
5 202123
6 201622
7 202021
8 201420
9 201720
10 202120
11 202219
12 201518
13
Tiered Forensic Methodology Model for Digital Field Triage by Non-Digital Evidence Specialists
201817
14 201817
15 202117
16 201514
17 201814
18 202014
19
The survival of Mycobacterium bovis in sterilized cattle slurry and its relevance to the persistence of this pathogen in the environment.
200013
20 202012

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 67 papers that have together received 901 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (35 papers), Digital and Cyber Forensics (33 papers), Digital Media Forensic Detection (15 papers), Internet Traffic Analysis and Secure E-voting (12 papers), Peer-to-Peer Network Technologies (7 papers), User Authentication and Security Systems (7 papers), Cryptographic Implementations and Security (7 papers) and Network Security and Intrusion Detection (6 papers). The work is most often cited by research in Signal Processing (473 citations), Information Systems (453 citations), Small Animals (114 citations), Health Informatics (15 citations) and Computer Networks and Communications (250 citations). Mark Scanlon has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Nhien‐An Le‐Khac, Quan Le, Brian Mac Namee, Oisín Boydell, Iwen Coisel, Christopher Hargreaves, Xiaoyu Du, Frank Breitinger, Steven Stewart and John Fetrow. Their work appears in journals such as Forensic Science International Digital Investigation, Digital Investigation, IEEE Access, Applied Sciences and Journal of Applied Microbiology.

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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