Adam Beautement

532 citations
7 papers · 268 indexed · h-index 6
Topics
Information and Cyber Security (6 papers)User Authentication and Security Systems (4 papers)Spam and Phishing Detection (2 papers)
Journals
Computer Fraud & SecurityUCL Discovery (University College London)

In The Last Decade

Adam Beautement

7 papers receiving 253 citations

Peers

Adam Beautement
Comparison fields: 5 of 33
  • Information Systems 236
  • Sociology and Political Science 112
  • Signal Processing 62
  • Computer Networks and Communications 54
  • Human-Computer Interaction 27
Replace Iacovos Kirlappos with:
Iacovos Kirlappos United Kingdom
Marcus Nohlberg Sweden
Lothar Fritsch Sweden
Saurabh Panjwani India
Irwin Reyes United States
Salvatore Aurigemma United States
Mohammad Tahaei United Kingdom
Christoph Stanik Germany
Anastasia Danilova Germany
Hamza Harkous Switzerland
Adam Beautement relative to Iacovos Kirlappos United Kingdom Iacovos Kirlappos's profile →
Citations per field
00.5×1.5×2.5×
Iacovos Kirlappos · 1×
Citations per year

Countries citing papers authored by Adam Beautement

Since Specialization
Citations

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

Fields of papers citing papers by Adam Beautement

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Beautement

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Beautement. A scholar is included among the top collaborators of Adam Beautement 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 Adam Beautement. Adam Beautement is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1
Productive Security: A Scalable Methodology for Analysing Employee Security Behaviours
20
2 25
3
Systematic Decision Making in Security Management Modelling Password Usage and Support
5
4
Structured systems economics for security management
8
5
Gathering realistic authentication performance data through field trials
3
6 22
7 185

About Adam Beautement

Adam Beautement is a scholar working on Information Systems, Human-Computer Interaction and Information Systems and Management, having authored 7 papers that have together received 268 indexed citations. Recurring topics across this work include Information and Cyber Security (6 papers), User Authentication and Security Systems (4 papers) and Spam and Phishing Detection (2 papers). The work is most often cited by research in Information Systems (236 citations), Signal Processing (62 citations) and Human-Computer Interaction (27 citations). Adam Beautement has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include M. Angela Sasse, Angela Sasse, David Pym, Simon Parkin, Philip Inglesant and Brian Monahan. Their work appears in journals such as Computer Fraud & Security and UCL Discovery (University College London).

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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