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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- Data Visualization and Analytics 14
- Video Analysis and Summarization 6
- Medical Image Segmentation Techniques 5
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- Network Security and Intrusion Detection 16
- Co-authors
- Sadie Creese (8 shared papers)Michael Goldsmith (8 shared papers)Oliver Buckley (6 shared papers)I.W. Griffiths (9 shared papers)Jason R. C. Nurse (5 shared papers)Paul L. Rosin (5 shared papers)David Chung (8 shared papers)James P. Morgan (4 shared papers)
- Journals
- Human-centric Computing and Information Sciences (2 papers)Computers & Security (2 papers)IEEE Systems Journal (2 papers)IEEE Transactions on Visualization and Computer Graphics (2 papers)IEEE Computer Graphics and Applications (2 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Phil Legg
54 papers receiving 995 citations
Peers
Comparison fields: 5 of 108
- Signal Processing 275
- Computer Networks and Communications 390
- Information Systems 361
- Computer Vision and Pattern Recognition 281
- Artificial Intelligence 264
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
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 118 | |
| 2 | 2013 | 117 | |
| 3 | 2015 | 93 | |
| 4 | 2012 | 69 | |
| 5 | 2013 | 54 | |
| 6 | 2022 | 49 | |
| 7 | 2013 | 47 | |
| 8 | 2015 | 36 | |
| 9 | 2015 | 35 | |
| 10 | 2021 | 34 | |
| 11 | 2014 | 31 | |
| 12 | 2011 | 30 | |
| 13 | 2015 | 30 | |
| 14 | 2013 | 24 | |
| 15 | 2020 | 21 | |
| 16 | 2019 | 19 | |
| 17 | 2015 | 17 | |
| 18 | 2019 | 16 | |
| 19 | 2015 | 15 | |
| 20 | 2022 | 15 |
About Phil Legg
Phil Legg is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Information Systems and Signal Processing, having authored 58 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), Anomaly Detection Techniques and Applications (6 papers), Video Analysis and Summarization (6 papers), Retinal Imaging and Analysis (5 papers) and Medical Image Segmentation Techniques (5 papers). The work is most often cited by research in Signal Processing (275 citations), Computer Networks and Communications (390 citations), Information Systems (361 citations), Computer Vision and Pattern Recognition (281 citations) and Artificial Intelligence (264 citations). Phil Legg has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Sadie Creese, Michael Goldsmith, Oliver Buckley, I.W. Griffiths, Jason R. C. Nurse, Paul L. Rosin, David Chung, James P. Morgan, Andrew McCarthy and Panagiotis Andriotis. Their work appears in journals such as Human-centric Computing and Information Sciences, Computers & Security, IEEE Systems Journal, IEEE Transactions on Visualization and Computer Graphics 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.