Robert Layton

2.7k citations
41 papers · 746 · h-index 16

Impact in

Papers in

    • Spam and Phishing Detection 21
    • Cybercrime and Law Enforcement Studies 8
    • Authorship Attribution and Profiling 17
    • Hate Speech and Cyberbullying Detection 8
    • Natural Language Processing Techniques 4
    • Topic Modeling 4

Robert Layton

41 papers receiving 711 citations

Peers

Robert Layton
Comparison fields: 5 of 79
  • Information Systems 476
  • Signal Processing 212
  • Artificial Intelligence 401
  • Computer Networks and Communications 213
  • Software 13
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Citations per field
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Citations per year

Countries citing papers authored by Robert Layton

Since Specialization
Citations

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

Fields of papers citing papers by Robert Layton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Robert Layton, 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 Robert Layton Line = papers co-authored together Robert Layton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010107
2 201449
3 201346
4
Malware Detection Based on Structural and Behavioural Features of API Calls
201043
5 201442
6 201039
7 201137
8 201635
9 201132
10 201730
11 201028
12 200923
13 201222
14 201220
15 201218
16 201216
17
The Online Romance Scam: A Complex Two-Layer Scam
201614
18 201714
19 201413
20 200913

About Robert Layton

Robert Layton is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Sociology and Political Science, having authored 41 papers that have together received 746 indexed citations. Recurring topics across this work include Spam and Phishing Detection (21 papers), Authorship Attribution and Profiling (17 papers), Advanced Malware Detection Techniques (11 papers), Network Security and Intrusion Detection (9 papers), Hate Speech and Cyberbullying Detection (8 papers), Cybercrime and Law Enforcement Studies (8 papers), Natural Language Processing Techniques (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Information Systems (476 citations), Signal Processing (212 citations), Artificial Intelligence (401 citations), Computer Networks and Communications (213 citations) and Software (13 citations). Robert Layton has collaborated with scholars based in Australia, New Zealand and United States. Frequent co-authors include Paul Watters, Richard Dazeley, Mamoun Alazab, Iqbal Gondal, Ahmad Azab, Brigitte Bouhours, Roderic Broadhurst, Jonathan Oliver, Stephen McCombie and Adil Bagirov. Their work appears in journals such as Natural Language Engineering, Computers & Security, Neural Processing Letters, Australasian Journal of Paramedicine and Journal of Information Security and Applications.

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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