Stephen Isard

3.0k total citations · 1 hit paper
36 papers, 1.9k citations indexed

About

Stephen Isard is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Signal Processing. According to data from OpenAlex, Stephen Isard has authored 36 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 12 papers in Experimental and Cognitive Psychology and 5 papers in Signal Processing. Recurrent topics in Stephen Isard's work include Speech and dialogue systems (16 papers), Speech Recognition and Synthesis (11 papers) and Phonetics and Phonology Research (10 papers). Stephen Isard is often cited by papers focused on Speech and dialogue systems (16 papers), Speech Recognition and Synthesis (11 papers) and Phonetics and Phonology Research (10 papers). Stephen Isard collaborates with scholars based in United Kingdom and United States. Stephen Isard's co-authors include George A. Miller, Jacqueline Kowtko, Anne H. Anderson, W. Nick Campbell, Miles Bader, Simon Garrod, Elizabeth Boyle, Jan McAllister, G. K. Doherty and Regina Weinert and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computational Linguistics and Journal of Phonetics.

In The Last Decade

Stephen Isard

36 papers receiving 1.5k citations

Hit Papers

The Hcrc Map Task Corpus 1991 2026 2002 2014 1991 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Hcrc Map Task Corpus
    1991 649 citations Anne H. Anderson, Ellen Gurman Bard et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stephen Isard United Kingdom 15 1.1k 753 452 318 303 36 1.9k
Mattias Heldner Sweden 21 884 0.8× 917 1.2× 531 1.2× 187 0.6× 158 0.5× 90 1.5k
David House Sweden 22 765 0.7× 683 0.9× 241 0.5× 115 0.4× 207 0.7× 115 1.4k
Matthew P. Aylett United Kingdom 20 1.1k 1.0× 986 1.3× 454 1.0× 411 1.3× 261 0.9× 93 2.0k
Lou Boves Netherlands 24 1.8k 1.6× 895 1.2× 416 0.9× 167 0.5× 306 1.0× 228 2.5k
Patti Price United States 17 1.1k 1.0× 971 1.3× 324 0.7× 159 0.5× 218 0.7× 35 1.7k
Kim Silverman United States 11 742 0.7× 890 1.2× 229 0.5× 182 0.6× 101 0.3× 29 1.3k
Catherine Sotillo United Kingdom 7 576 0.5× 526 0.7× 347 0.8× 156 0.5× 129 0.4× 11 970
Jens Edlund Sweden 20 960 0.9× 611 0.8× 490 1.1× 153 0.5× 138 0.5× 108 1.6k
Henry S. Thompson United Kingdom 17 1.1k 1.0× 373 0.5× 297 0.7× 95 0.3× 83 0.3× 57 1.6k
Ellen Gurman Bard United Kingdom 22 1.7k 1.5× 1.5k 1.9× 910 2.0× 623 2.0× 558 1.8× 75 3.2k

Countries citing papers authored by Stephen Isard

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Isard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Isard

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Isard. A scholar is included among the top collaborators of Stephen Isard 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 Stephen Isard. Stephen Isard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yuan, Jiahong, Stephen Isard, & Mark Liberman. (2008). Different roles of pitch and duration in distinguishing word stress in English.. Conference of the International Speech Communication Association. 885. 3 indexed citations
2.
Hastie, Helen, Massimo Poesio, & Stephen Isard. (2002). Automatically predicting dialogue structure using prosodic features. Speech Communication. 36(1-2). 63–79. 24 indexed citations
3.
Taylor, Paul, et al.. (2002). Using prosodic information to constrain language models for spoken dialogue. ERA. 1. 216–219. 1 indexed citations
4.
Steedman, Mark, Stephen Isard, & Helen Hastie. (2002). Using Prosody in ASR: the Segmentation of Broadcast Radio News. 3 indexed citations
5.
Poesio, Massimo, et al.. (1999). Using high level dialogue information for dialogue act recognition using prosodic features.. ERA. 279(16). 16128–35. 19 indexed citations
6.
Isard, Stephen, et al.. (1999). Synthesis of regional English using a keyword lexicon. 823–826. 6 indexed citations
7.
King, Simon, et al.. (1998). Speech recognition via phonetically featured syllables. paper 0557–0. 36 indexed citations
8.
Carletta, Jean, Stephen Isard, Gwyneth Doherty‐Sneddon, et al.. (1997). The reliability of a dialogue structure coding scheme. Computational Linguistics. 23(1). 13–31. 278 indexed citations
9.
Hockey, Beth Ann, et al.. (1997). Yes/No Questions and Answers in the Map Task Corpus. Scholarly Commons (University of Pennsylvania). 2 indexed citations
10.
Isard, Stephen, et al.. (1997). A keyvowel approach to the synthesis of regional accents of English. 2435–2438. 4 indexed citations
11.
Stone, James V. & Stephen Isard. (1995). Adaptive scale filtering: a general method for obtaining shape from texture. IEEE Transactions on Pattern Analysis and Machine Intelligence. 17(7). 713–718. 18 indexed citations
12.
Carletta, Jean, et al.. (1995). Simulating time-constrained language production. Language and Cognitive Processes. 10(3-4). 357–361. 2 indexed citations
13.
Isard, Stephen, Simon King, Paul Taylor, & Jacqueline Kowtko. (1995). IEEE Workshop in speech recognition. 3 indexed citations
14.
Bader, Michael D. M., Ellen Gurman Bard, Gwyneth Doherty‐Sneddon, et al.. (1993). The HCRC Map Task Corpus: A Natural Spoken Dialogue Corpus. UEA Digital Repository (University of East Anglia). 3 indexed citations
15.
Isard, Stephen, et al.. (1992). Evaluation of speech synthesis techniques in a comprehension task. Speech Communication. 11(2-3). 189–194. 5 indexed citations
16.
Taylor, Paul & Stephen Isard. (1992). A new model of intonation for use with speech synthesis and recognition. 1287–1290. 3 indexed citations
17.
Houghton, George & Stephen Isard. (1987). Why to speak, what to say and how to say it: Modelling language production in discourse.. 14 indexed citations
18.
Scott, Donia R., Stephen Isard, & Bénédicte de Boysson-Bardies. (1985). Perceptual isochrony in English and in French. Journal of Phonetics. 13(2). 155–162. 34 indexed citations
19.
Isard, Stephen. (1977). A finitely axiomatizable undecidable extension of K. Theoria. 43(3). 195–202. 4 indexed citations
20.
Miller, George A. & Stephen Isard. (1964). Free recall of self-embedded english sentences. Information and Control. 7(3). 292–303. 142 indexed citations

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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