Edward de Villiers

2 papers and 62 indexed citations i.

About

Edward de Villiers is a scholar working on Artificial Intelligence, Signal Processing and Industrial relations. According to data from OpenAlex, Edward de Villiers has authored 2 papers receiving a total of 62 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Signal Processing and 0 papers in Industrial relations. Recurrent topics in Edward de Villiers’s work include Music and Audio Processing (2 papers), Speech Recognition and Synthesis (2 papers) and Speech and Audio Processing (2 papers). Edward de Villiers is often cited by papers focused on Music and Audio Processing (2 papers), Speech Recognition and Synthesis (2 papers) and Speech and Audio Processing (2 papers). Edward de Villiers collaborates with scholars based in Italy and Czechia. Edward de Villiers's co-authors include Niko Brümmer, Mohammed Senoussaoui, Patrick Kenny, Pierre Dumouchel, Sandro Cumani, Ondřej Glembek and Pietro Laface and has published in prestigious journals such as PORTO Publications Open Repository TOrino (Politecnico di Torino) and Interspeech 2022.

In The Last Decade

Co-authorship network of co-authors of Edward de Villiers i

Fields of papers citing papers by Edward de Villiers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward de Villiers. 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 Edward de Villiers. The network helps show where Edward de Villiers may publish in the future.

Countries citing papers authored by Edward de Villiers

Since Specialization
Citations

This map shows the geographic impact of Edward de Villiers'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 Edward de Villiers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward de Villiers 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025