H. Lloyd-Thomas

1.0k citations
11 papers · 696 · h-index 5

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Biometric Identification and Security
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques

Papers in

    • Speech Recognition and Synthesis 11
    • Natural Language Processing Techniques 5
    • Topic Modeling 2
    • Speech and dialogue systems 1
    • Speech and Audio Processing 4
    • Music and Audio Processing 4

H. Lloyd-Thomas

8 papers receiving 611 citations

Peers

H. Lloyd-Thomas
Comparison fields: 5 of 46
  • Signal Processing 620
  • Artificial Intelligence 528
  • Computer Vision and Pattern Recognition 157
  • Developmental Biology 8
  • Information Systems 31
Replace Roland Auckenthaler with:
Roland Auckenthaler United Kingdom
Driss Matrouf France
Nicolas Scheffer United States
V. Gupta Canada
E.S. Parris United Kingdom
Gilles Boulianne Canada
Aaron Lawson United States
Jenthe Thienpondt Belgium
S.E. Tranter United Kingdom
Hee-Soo Heo South Korea
H. Lloyd-Thomas relative to Roland Auckenthaler United Kingdom Roland Auckenthaler's profile →
Citations per field
00.5×1.5×
Roland Auckenthaler · 1×
Citations per year

Countries citing papers authored by H. Lloyd-Thomas

Since Specialization
Citations

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

Fields of papers citing papers by H. Lloyd-Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Lloyd-Thomas. 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 H. Lloyd-Thomas. The network helps show where H. Lloyd-Thomas may publish in the future.

Co-authors

The 6 scholars most cited alongside H. Lloyd-Thomas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with H. Lloyd-Thomas Line = papers co-authored together H. Lloyd-Thomas links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown

About H. Lloyd-Thomas

H. Lloyd-Thomas is a scholar working on Artificial Intelligence, Signal Processing, Infectious Diseases, Organic Chemistry and Surgery, having authored 11 papers that have together received 696 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (11 papers), Natural Language Processing Techniques (5 papers), Speech and Audio Processing (4 papers), Music and Audio Processing (4 papers), Topic Modeling (2 papers) and Speech and dialogue systems (1 paper). The work is most often cited by research in Signal Processing (620 citations), Artificial Intelligence (528 citations), Computer Vision and Pattern Recognition (157 citations), Developmental Biology (8 citations) and Information Systems (31 citations). H. Lloyd-Thomas has collaborated with scholars based in United Kingdom. Frequent co-authors include Michael J. Carey, Roland Auckenthaler, E.S. Parris, Simon J. Bennett, J. H. Wright and Gareth J. F. Jones. Their work appears in journals such as Digital Signal Processing.

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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