Steve Mansfield-Devine

1.3k citations
103 papers · 821 · h-index 16

Impact in

    • Advanced Malware Detection Techniques
    • Information and Cyber Security
    • Cybercrime and Law Enforcement Studies
    • Blockchain Technology Applications and Security
    • Spam and Phishing Detection

Papers in

Journals
Computer Fraud & Security (41 papers)Network Security (55 papers)Biometric Technology Today (7 papers)

In The Last Decade

Steve Mansfield-Devine

94 papers receiving 741 citations

Peers

Steve Mansfield-Devine
Comparison fields: 5 of 94
  • Signal Processing 272
  • Information Systems 468
  • Computer Networks and Communications 344
  • Artificial Intelligence 197
  • Management Information Systems 53
Replace Harjinder Singh Lallie with:
Harjinder Singh Lallie United Kingdom
Rabiah Ahmad Malaysia
Herbert J. Mattord United States
Christos Kalloniatis Greece
Johan van Niekerk South Africa
Mariki M. Eloff South Africa
Wolter Pieters Netherlands
Thomas R. Peltier United States
Andréa Cullen United Kingdom
Budi Arief United Kingdom
Steve Mansfield-Devine relative to Harjinder Singh Lallie United Kingdom Harjinder Singh Lallie's profile →
Citations per field
00.5×8.5×
Harjinder Singh Lallie · 1×
Citations per year

Countries citing papers authored by Steve Mansfield-Devine

Since Specialization
Citations

This map shows the geographic impact of Steve Mansfield-Devine'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 Steve Mansfield-Devine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Mansfield-Devine more than expected).

Fields of papers citing papers by Steve Mansfield-Devine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve Mansfield-Devine. 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 Steve Mansfield-Devine. The network helps show where Steve Mansfield-Devine may publish in the future.

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All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201660
2 201759
3 201538
4 201236
5 201631
6 200827
7 201625
8 201124
9 201523
10 201623
11 201221
12 200820
13 201720
14 201119
15 201616
16 201115
17 201214
18 201714
19 201714
20 201814

About Steve Mansfield-Devine

Steve Mansfield-Devine is a scholar working on Information Systems, Computer Networks and Communications, Signal Processing, Sociology and Political Science and Political Science and International Relations, having authored 103 papers that have together received 821 indexed citations. Recurring topics across this work include Information and Cyber Security (22 papers), Network Security and Intrusion Detection (20 papers), Cybercrime and Law Enforcement Studies (17 papers), Advanced Malware Detection Techniques (13 papers), Cybersecurity and Cyber Warfare Studies (6 papers), Privacy, Security, and Data Protection (6 papers), Spam and Phishing Detection (5 papers) and User Authentication and Security Systems (3 papers). The work is most often cited by research in Signal Processing (272 citations), Information Systems (468 citations), Computer Networks and Communications (344 citations), Artificial Intelligence (197 citations) and Management Information Systems (53 citations). Their work appears in journals such as Computer Fraud & Security, Network Security and Biometric Technology Today.

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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