Lowri Williams

14 papers and 471 indexed citations i.

About

Lowri Williams is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Lowri Williams has authored 14 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 4 papers in Signal Processing. Recurrent topics in Lowri Williams’s work include Network Security and Intrusion Detection (5 papers), Advanced Text Analysis Techniques (5 papers) and Sentiment Analysis and Opinion Mining (5 papers). Lowri Williams is often cited by papers focused on Network Security and Intrusion Detection (5 papers), Advanced Text Analysis Techniques (5 papers) and Sentiment Analysis and Opinion Mining (5 papers). Lowri Williams collaborates with scholars based in United Kingdom. Lowri Williams's co-authors include Pete Burnap, Eirini Anthi, George Theodorakopoulos, ‪Irena Spasić, Matilda Rhode, Michael Arribas‐Ayllon, Amir Javed, Alun Preece, Christian Bannister and Kevin Jones and has published in prestigious journals such as Expert Systems with Applications, IEEE Internet of Things Journal and Computers & Security.

In The Last Decade

Co-authorship network of co-authors of Lowri Williams i

Fields of papers citing papers by Lowri Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Lowri Williams

Since Specialization
Citations

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).

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.

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2025