Phil Legg
Impact in
- Signal Processing top 2%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
Papers in
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- Advanced Malware Detection Techniques 12
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- Data Visualization and Analytics 14
- Video Analysis and Summarization 6
- Medical Image Segmentation Techniques 5
- Co-authors
- Michael GoldsmithSadie CreeseOliver BuckleyI.W. GriffithsJason R. C. NursePaul L. RosinJames P. MorganDavid Chung
- Journals
- IEEE Transactions on Visualization and Computer Graphics (2 papers)IEEE Systems Journal (2 papers)Human-centric Computing and Information Sciences (2 papers)Computers & Security (2 papers)IEEE Computer Graphics and Applications (2 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Phil Legg
54 papers receiving 966 citations
Peers
Comparison fields: 5 of 111
- Signal Processing 268
- Computer Networks and Communications 380
- Information Systems 358
- Computer Vision and Pattern Recognition 281
- Artificial Intelligence 257
Countries citing papers authored by Phil Legg
This map shows the geographic impact of Phil Legg'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 Phil Legg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phil Legg more than expected).
Fields of papers citing papers by Phil Legg
This network shows the impact of papers produced by Phil Legg. 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 Phil Legg. The network helps show where Phil Legg may publish in the future.
Co-authors
The 25 scholars most cited alongside Phil Legg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 33 | |
| 10 | 2015 | 34 | |
| 11 | 2015 | 91 | |
| 12 | 2014 | 3 | |
| 13 | 2013 | 47 | |
| 14 | 2013 | 23 | |
| 15 | 2013 | 54 | |
| 16 | 2013 | 6 | |
| 17 | 2011 | 30 | |
| 18 | 2011 | 3 | |
| 19 | 2011 | 7 | |
| 20 | 2009 | 12 |
About Phil Legg
Phil Legg is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Computer Science Applications, Computer Graphics and Computer-Aided Design and Computer Networks and Communications, having authored 57 papers that have together received 1.0k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (16 papers), Data Visualization and Analytics (14 papers), Advanced Malware Detection Techniques (12 papers), Information and Cyber Security (9 papers), Video Analysis and Summarization (6 papers), Anomaly Detection Techniques and Applications (6 papers), Medical Image Segmentation Techniques (5 papers) and Adversarial Robustness in Machine Learning (5 papers). The work is most often cited by research in Signal Processing (268 citations), Computer Networks and Communications (380 citations), Information Systems (358 citations), Computer Vision and Pattern Recognition (281 citations) and Artificial Intelligence (257 citations). Phil Legg has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Michael Goldsmith, Sadie Creese, Oliver Buckley, I.W. Griffiths, Jason R. C. Nurse, Paul L. Rosin, James P. Morgan, David Chung, Gordon Wright and Monica T. Whitty. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Systems Journal, Human-centric Computing and Information Sciences, Computers & Security and IEEE Computer Graphics 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.