John S. Bridle

47 total papers · 2.6k total citations
32 papers, 770 citations indexed

About

John S. Bridle is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, John S. Bridle has authored 32 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 23 papers in Signal Processing and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in John S. Bridle's work include Speech Recognition and Synthesis (25 papers), Speech and Audio Processing (18 papers) and Music and Audio Processing (12 papers). John S. Bridle is often cited by papers focused on Speech Recognition and Synthesis (25 papers), Speech and Audio Processing (18 papers) and Music and Audio Processing (12 papers). John S. Bridle collaborates with scholars based in United Kingdom, United States and Israel. John S. Bridle's co-authors include Stephen Cox, E.S. Parris, Michael J. Carey, Leslie G. Dodd, David Mackay, Melvyn J. Hunt, Erik Marchi, Siddharth Sigtia, Richard Chamberlain and Simón Cox and has published in prestigious journals such as Speech Communication, Computer Speech & Language and Proceedings of the Institution of Electrical Engineers.

In The Last Decade

John S. Bridle

31 papers receiving 654 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John S. Bridle 594 402 140 69 34 32 770
Shuang Xu 587 1.0× 382 1.0× 225 1.6× 44 0.6× 25 0.7× 16 880
Jean‐Paul Haton 546 0.9× 451 1.1× 98 0.7× 38 0.6× 35 1.0× 84 728
R. Reddy 362 0.6× 232 0.6× 260 1.9× 22 0.3× 31 0.9× 30 780
Xiaofei Wang 566 1.0× 380 0.9× 73 0.5× 18 0.3× 15 0.4× 41 763
Tian Tan 576 1.0× 516 1.3× 134 1.0× 26 0.4× 46 1.4× 25 825
Lan Wang 377 0.6× 182 0.5× 216 1.5× 103 1.5× 11 0.3× 63 656
C. A. McGonegal 345 0.6× 681 1.7× 312 2.2× 78 1.1× 53 1.6× 17 828
Björn Hoffmeister 715 1.2× 488 1.2× 81 0.6× 37 0.5× 25 0.7× 38 848
Edmondo Trentin 456 0.8× 188 0.5× 168 1.2× 25 0.4× 31 0.9× 51 730
Daniel Keren 271 0.5× 197 0.5× 206 1.5× 17 0.2× 49 1.4× 56 826

Countries citing papers authored by John S. Bridle

Since Specialization
Citations

This map shows the geographic impact of John S. Bridle'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 John S. Bridle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John S. Bridle more than expected).

Fields of papers citing papers by John S. Bridle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John S. Bridle. 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 John S. Bridle. The network helps show where John S. Bridle may publish in the future.

Co-authorship network of co-authors of John S. Bridle

This figure shows the co-authorship network connecting the top 25 collaborators of John S. Bridle. A scholar is included among the top collaborators of John S. Bridle based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John S. Bridle. John S. Bridle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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