Fergus McInnes

919 citations
63 papers · 650 · h-index 15

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Speech and dialogue systems
    • Natural Language Processing Techniques

Papers in

    • Speech Recognition and Synthesis 24
    • Speech and dialogue systems 15
    • Natural Language Processing Techniques 11
    • Speech and Audio Processing 16
    • Music and Audio Processing 8

Fergus McInnes

59 papers receiving 587 citations

Peers

Fergus McInnes
Comparison fields: 5 of 91
  • Signal Processing 253
  • Artificial Intelligence 399
  • Human-Computer Interaction 46
  • Experimental and Cognitive Psychology 79
  • Computer Vision and Pattern Recognition 119
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Carmén García Mateo Spain
Fadi Biadsy United States
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Reima Karhila Finland
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Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Fergus McInnes

Since Specialization
Citations

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

Fields of papers citing papers by Fergus McInnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fergus McInnes, 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 Fergus McInnes Line = papers co-authored together Fergus McInnes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Proceedings of EUROSPEECH-97
199773
2
Proceedings 6th European Conference on Speech Communication and Technology (Eurospeech 99)
199955
3 200244
4 199534
5 199626
6 201322
7 199221
8 199819
9 199618
10 199816
11 200216
12 200215
13 201014
14 200914
15 200214
16 200114
17 200413
18 199712
19 199612
20 200212

About Fergus McInnes

Fergus McInnes is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Human-Computer Interaction and Physiology, having authored 63 papers that have together received 650 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (24 papers), Speech and Audio Processing (16 papers), Speech and dialogue systems (15 papers), Natural Language Processing Techniques (11 papers), Music and Audio Processing (8 papers), Advanced Data Compression Techniques (8 papers), Voice and Speech Disorders (6 papers) and Phonetics and Phonology Research (4 papers). The work is most often cited by research in Signal Processing (253 citations), Artificial Intelligence (399 citations), Human-Computer Interaction (46 citations), Experimental and Cognitive Psychology (79 citations) and Computer Vision and Pattern Recognition (119 citations). Fergus McInnes has collaborated with scholars based in United Kingdom, Brazil and United States. Frequent co-authors include Mervyn Jack, M.A. Jack, Jeng‐Shyang Pan, Néstor Becerra Yoma, Steve Renals, Mark S. Schmidt, Peter Bell, Diane Dawson, Maria Goddard and Russell Mannion. Their work appears in journals such as Electronics Letters, Behaviour and Information Technology, The Journal of the Acoustical Society of America, Journal of the Royal Society of Medicine and Speech Communication.

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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