Lowri Williams
Impact in
- Signal Processing top 2%
- Advanced Malware Detection Techniques
-
- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
Papers in
-
- Advanced Malware Detection Techniques 4
-
- Sentiment Analysis and Opinion Mining 5
- Advanced Text Analysis Techniques 5
- Topic Modeling 3
- Anomaly Detection Techniques and Applications 3
- Co-authors
- Eirini AnthiPete BurnapGeorge TheodorakopoulosIrena SpasićAmir JavedMichael Arribas‐AyllonChristian BannisterAlun Preece
- Journals
- IEEE Access (2 papers)Informatics (2 papers)Big Data and Cognitive Computing (2 papers)IEEE Internet of Things Journal (1 paper)Computers & Security (1 paper)
- Partner nations
- United KingdomIndonesiaUnited States
In The Last Decade
Lowri Williams
14 papers receiving 528 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Signal Processing 257
- Computer Networks and Communications 392
- Artificial Intelligence 366
- Control and Systems Engineering 79
- Information Systems 76
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-authorship network
The 15 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 4 | |
| 11 | 2021 | 68 | |
| 12 | 2021 | 19 | |
| 13 | A Supervised Intrusion Detection System for Smart Home IoT Devices Hit paper breakdown → | 2019 | 371 |
| 14 | 2019 | 14 | |
| 15 | 2017 | 14 | |
| 16 | 2015 | 57 | |
| 17 | 2002 | 2 |
About Lowri Williams
Lowri Williams is a scholar working on Signal Processing, Artificial Intelligence, Computer Networks and Communications, General Social Sciences and Computer Science Applications, having authored 17 papers that have together received 563 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), Digital Marketing and Social Media (2 papers) and Misinformation and Its Impacts (2 papers). The work is most often cited by research in Signal Processing (257 citations), Computer Networks and Communications (392 citations), Artificial Intelligence (366 citations), Control and Systems Engineering (79 citations) and Information Systems (76 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 IEEE Access, Informatics, Big Data and Cognitive Computing, IEEE Internet of Things Journal and Computers & Security.
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.