Stephen Isard

3.0k citations
36 papers · 1.9k · 1 hit paper · h-index 15

Impact in

Papers in

Stephen Isard

36 papers receiving 1.5k citations

Stephen Isard's Hit Papers

The Hcrc Map Task Corpus 1991 · 649 citations
6490+11+23Years since publication200400600

Peers

Stephen Isard
Comparison fields: 5 of 85
  • Experimental and Cognitive Psychology 753
  • Linguistics and Language 208
  • Language and Linguistics 452
  • Artificial Intelligence 1.1k
  • Developmental and Educational Psychology 303
Replace Mattias Heldner with:
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Matthew P. Aylett United Kingdom
Patti Price United States
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Stephen Isard relative to Mattias Heldner Sweden Mattias Heldner's profile →
Citations per field
00.5×1.5×1.9×
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Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Hcrc Map Task Corpus
Hit paper breakdown →
1991649
2 1963301
3 1997278
4 1964142
5 1991103
6 199870
7 199836
8 197435
9 198534
10 200224
11 199720
12 199919
13 199518
14 200918
15 199715
16
Why to speak, what to say and how to say it: Modelling language production in discourse.
198714
17 197011
18
Proc. Eurospeech'97
19977
19 19996
20 19916

About Stephen Isard

Stephen Isard is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 36 papers that have together received 1.9k indexed citations. Recurring topics across this work include Speech and dialogue systems (16 papers), Speech Recognition and Synthesis (11 papers), Phonetics and Phonology Research (10 papers), Natural Language Processing Techniques (9 papers), Topic Modeling (4 papers), Music and Audio Processing (3 papers), Speech and Audio Processing (3 papers) and Neurobiology of Language and Bilingualism (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (753 citations), Linguistics and Language (208 citations), Language and Linguistics (452 citations), Artificial Intelligence (1.1k citations) and Developmental and Educational Psychology (303 citations). Stephen Isard has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include George A. Miller, Jacqueline Kowtko, Anne H. Anderson, W. Nick Campbell, Catherine Sotillo, Jim Miller, Ellen Gurman Bard, Elizabeth Boyle, Jan McAllister and Simon Garrod. Their work appears in journals such as Journal of Phonetics, Speech Communication, Language and Speech, Computational Linguistics and Journal of the London Mathematical Society.

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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