Steve Renals

246 papers and 5.0k indexed citations i.

About

Steve Renals is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Steve Renals has authored 246 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 225 papers in Artificial Intelligence, 150 papers in Signal Processing and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Steve Renals’s work include Speech Recognition and Synthesis (169 papers), Speech and Audio Processing (119 papers) and Music and Audio Processing (112 papers). Steve Renals is often cited by papers focused on Speech Recognition and Synthesis (169 papers), Speech and Audio Processing (119 papers) and Music and Audio Processing (112 papers). Steve Renals collaborates with scholars based in United Kingdom, United States and Germany. Steve Renals's co-authors include Paweł Świętojański, Gabriel Murray, Arnab Ghoshal, Peter Bell, Jean Carletta, Johanna D. Moore, Vincent Wan, Liang Lu, Korin Richmond and Junichi Yamagishi and has published in prestigious journals such as Neural Computation, IEEE Signal Processing Magazine and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Co-authorship network of co-authors of Steve Renals i

Fields of papers citing papers by Steve Renals

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve Renals. 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 Steve Renals. The network helps show where Steve Renals may publish in the future.

Countries citing papers authored by Steve Renals

Since Specialization
Citations

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