Lowri Williams
Impact in
- Signal Processing top 2%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
Papers in
-
- Sentiment Analysis and Opinion Mining 5
- Advanced Text Analysis Techniques 5
- Topic Modeling 3
- Anomaly Detection Techniques and Applications 3
- Adversarial Robustness in Machine Learning 2
-
- Network Security and Intrusion Detection 6
- Co-authors
- Eirini Anthi (12 shared papers)Pete Burnap (9 shared papers)George Theodorakopoulos (1 shared paper)Irena Spasić (3 shared papers)Amir Javed (2 shared papers)Michael Arribas‐Ayllon (2 shared papers)Christian Bannister (1 shared paper)Alun Preece (1 shared paper)
- Journals
- Big Data and Cognitive Computing (2 papers)Informatics (2 papers)IEEE Access (2 papers)IEEE Transactions on Intelligent Transportation Systems (1 paper)Journal of Classification (1 paper)
- Partner nations
- United KingdomIndonesiaUnited States
In The Last Decade
Lowri Williams
16 papers receiving 552 citations
Lowri Williams's Hit Papers
Peers
Comparison fields: 5 of 54
- Signal Processing 263
- Computer Networks and Communications 404
- Artificial Intelligence 369
- Information Systems 79
- Control and Systems Engineering 80
Countries citing papers authored by Lowri Williams
This map shows the geographic impact of Lowri Williams'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 Lowri Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lowri Williams more than expected).
Fields of papers citing papers by Lowri Williams
This network shows the impact of papers produced by Lowri Williams. 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 Lowri Williams. The network helps show where Lowri Williams may publish in the future.
Co-authors
The 16 scholars most cited alongside Lowri Williams, 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 | A Supervised Intrusion Detection System for Smart Home IoT Devices Hit paper breakdown → | 2019 | 387 |
| 2 | 2021 | 68 | |
| 3 | 2015 | 57 | |
| 4 | 2021 | 21 | |
| 5 | 2019 | 14 | |
| 6 | 2017 | 14 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2002 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 |
About Lowri Williams
Lowri Williams is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Control and Systems Engineering and Sociology and Political Science, having authored 18 papers that have together received 584 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (6 papers), Sentiment Analysis and Opinion Mining (5 papers), Advanced Text Analysis Techniques (5 papers), Advanced Malware Detection Techniques (4 papers), Topic Modeling (3 papers), Anomaly Detection Techniques and Applications (3 papers), Adversarial Robustness in Machine Learning (2 papers) and Misinformation and Its Impacts (2 papers). The work is most often cited by research in Signal Processing (263 citations), Computer Networks and Communications (404 citations), Artificial Intelligence (369 citations), Information Systems (79 citations) and Control and Systems Engineering (80 citations). Lowri Williams has collaborated with scholars based in United Kingdom, Indonesia and United States. Frequent co-authors include Eirini Anthi, Pete Burnap, George Theodorakopoulos, Irena Spasić, Amir Javed, Michael Arribas‐Ayllon, Christian Bannister, Alun Preece, Kevin Jones and Andreas Artemiou. Their work appears in journals such as Big Data and Cognitive Computing, Informatics, IEEE Access, IEEE Transactions on Intelligent Transportation Systems and Journal of Classification.
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.