Robert Layton

2.7k citations
35 papers · 621 indexed · h-index 15
Topics
Spam and Phishing Detection (18 papers)Authorship Attribution and Profiling (15 papers)Advanced Malware Detection Techniques (10 papers)

In The Last Decade

Robert Layton

35 papers receiving 588 citations

Peers

Robert Layton
Comparison fields: 5 of 71
  • Information Systems 392
  • Artificial Intelligence 340
  • Computer Networks and Communications 174
  • Signal Processing 171
  • Sociology and Political Science 110
Replace Roxana Geambasu with:
Roxana Geambasu United States
Jason Polakis United States
Matteo Dell’Amico France
Sergio Pastrana Spain
Dawn M. Cappelli United States
Gabriele Tolomei Italy
Kara Nance United States
Xianghang Mi United States
Sherif Saad Canada
Ali Abdallah United Kingdom
Robert Layton relative to Roxana Geambasu United States Roxana Geambasu's profile →
Citations per field
00.5×
Roxana Geambasu · 1×
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-authorship network of co-authors of Robert Layton

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Layton. A scholar is included among the top collaborators of Robert Layton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert Layton. Robert Layton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Online Romance Scam: Expensive e-Living for romantic happiness
1
2
The Online Romance Scam: A Complex Two-Layer Scam
12
3
A Simple Local n-gram Ensemble for Authorship Verification.
2
4 10
5
Local n-grams for author identification: notebook for PAN at CLEF 2013
4
6 10
7 10
8 36
9 21
10 17
11 13
12 12
13 30
14 4
15 31
16
Malware Detection Based on Structural and Behavioural Features of API Calls
34
17 34
18 26
19 92
20 10

About Robert Layton

Robert Layton is a scholar working on Information Systems, Signal Processing and Artificial Intelligence, having authored 35 papers that have together received 621 indexed citations. Recurring topics across this work include Spam and Phishing Detection (18 papers), Authorship Attribution and Profiling (15 papers) and Advanced Malware Detection Techniques (10 papers). The work is most often cited by research in Information Systems (392 citations), Signal Processing (171 citations) and Artificial Intelligence (340 citations). Robert Layton has collaborated with scholars based in Australia, New Zealand and Kuwait. Frequent co-authors include Paul Watters, Richard Dazeley, Mamoun Alazab, Iqbal Gondal, Ahmad Azab, Roderic Broadhurst, Jonathan Oliver, Brigitte Bouhours, Stephen McCombie and Simon Brown. Their work appears in journals such as Australasian Journal of Paramedicine, Computers & Security and Neural Processing Letters.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026