Nicholas Micallef
- Sociology and Political Science
- Information Systems top 10%
- Signal Processing
- Artificial Intelligence
- Communication
- Co-authors
- Lynne BaillieSameer PatilMike JustNasir MemonStephen UzorMihai AvramFilippo MenczerNalin Asanka Gamagedara Arachchilage
- Topics
- User Authentication and Security Systems (6 papers)Advanced Malware Detection Techniques (5 papers)Privacy, Security, and Data Protection (4 papers)
- Journals
- IEEE Transactions on Visualization and Computer GraphicsPersonal and Ubiquitous ComputingProceedings of the ACM on Human-Computer Interaction
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Nicholas Micallef
16 papers receiving 165 citations
Peers
Comparison fields: 5 of 56
- Sociology and Political Science 103
- Information Systems 72
- Signal Processing 39
- Artificial Intelligence 31
- Communication 26
Countries citing papers authored by Nicholas Micallef
This map shows the geographic impact of Nicholas Micallef'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 Nicholas Micallef with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Micallef more than expected).
Fields of papers citing papers by Nicholas Micallef
This network shows the impact of papers produced by Nicholas Micallef. 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 Nicholas Micallef. The network helps show where Nicholas Micallef may publish in the future.
Co-authorship network of co-authors of Nicholas Micallef
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Micallef. A scholar is included among the top collaborators of Nicholas Micallef 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 Nicholas Micallef. Nicholas Micallef is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Towards Co-Designing a Continuous-Learning Human-AI Interface: A Case Study in Online Grooming Detection | 1 |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 37 | |
| 6 | 7 | |
| 7 | 29 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 6 | |
| 12 | 17 | |
| 13 | 20 | |
| 14 | 7 | |
| 15 | 25 | |
| 16 | 2 | |
| 17 | Using avatars for improved authentication with challenge questions | 6 |
About Nicholas Micallef
Nicholas Micallef is a scholar working on Signal Processing, Information Systems and Computer Science Applications, having authored 17 papers that have together received 174 indexed citations. Recurring topics across this work include User Authentication and Security Systems (6 papers), Advanced Malware Detection Techniques (5 papers) and Privacy, Security, and Data Protection (4 papers). The work is most often cited by research in Human-Computer Interaction (25 citations), Communication (26 citations) and Signal Processing (39 citations). Nicholas Micallef has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Lynne Baillie, Sameer Patil, Mike Just, Nasir Memon, Stephen Uzor, Mihai Avram, Filippo Menczer, Nalin Asanka Gamagedara Arachchilage, H. Güneş Kayacık and Martin Halvey. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Personal and Ubiquitous Computing and Proceedings of the ACM on Human-Computer Interaction.
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.