Mark Scanlon

1.8k citations
66 papers · 862 indexed · h-index 15

Impact in

Papers in

Mark Scanlon

62 papers receiving 816 citations

Peers

Mark Scanlon
Comparison fields: 5 of 92
  • Signal Processing 455
  • Information Systems 428
  • Small Animals 110
  • Health Informatics 15
  • Computer Networks and Communications 245
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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-authorship network

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
#Work
1 20257
2 20250
3 20250
4 20242
5 20240
6 20241
7 20242
8 20241
9 202012
10 20206
11 20191
12 201814
13 20182
14
Forensic Analysis of Epic Privacy Browser on Windows Operating Systems
20172
15
Evaluation of Digital Forensic Process Models with Respect to Digital Forensics as a Service
20175
16 201621
17
Proceedings of 10th International Conference on Availability, Reliability and Security (ARES 2015)
2015127
18 2005117
19
The survival of Mycobacterium bovis in sterilized cattle slurry and its relevance to the persistence of this pathogen in the environment.
200013
20 20009

About Mark Scanlon

Mark Scanlon is a scholar working on Signal Processing, Information Systems, Computer Vision and Pattern Recognition, Health Informatics and Artificial Intelligence, having authored 66 papers that have together received 862 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (34 papers), Digital and Cyber Forensics (32 papers), Digital Media Forensic Detection (14 papers), Internet Traffic Analysis and Secure E-voting (12 papers), Peer-to-Peer Network Technologies (7 papers), Cryptographic Implementations and Security (7 papers), User Authentication and Security Systems (7 papers) and Network Security and Intrusion Detection (6 papers). The work is most often cited by research in Signal Processing (455 citations), Information Systems (428 citations), Small Animals (110 citations), Health Informatics (15 citations) and Computer Networks and Communications (245 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, Oisín Boydell, Brian Mac Namee, Tahar Kechadi, Iwen Coisel, Christopher Hargreaves, Xiaoyu Du, Frank Breitinger and S. Godden. Their work appears in journals such as Forensic Science International Digital Investigation, Digital Investigation, IEEE Access, Electronics and Applied Sciences.

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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