Michael McTear

4.3k citations
88 papers · 2.2k indexed · h-index 23

Impact in

Papers in

    • Speech and dialogue systems 37
    • Natural Language Processing Techniques 20
    • Multi-Agent Systems and Negotiation 20
    • Topic Modeling 12
    • AI in Service Interactions 11
    • Semantic Web and Ontologies 5
    • Mobile Health and mHealth Applications 9

Michael McTear

83 papers receiving 2.0k citations

Peers

Michael McTear
Comparison fields: 5 of 118
  • Applied Psychology 287
  • Human-Computer Interaction 251
  • Artificial Intelligence 1.4k
  • Health Informatics 40
  • Social Psychology 367
Replace Naomi Yamashita with:
Naomi Yamashita Japan
Benjamin R. Cowan Ireland
Ellen R. Tauber United States
Ron Artstein United States
David Traum United States
Cosmin Munteanu Canada
Dakuo Wang United States
Fabio Pianesi Italy
Massimo Zancanaro Italy
Gary Hsieh United States
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Citations per field
00.5×3.0×
Naomi Yamashita · 1×
Citations per year

Countries citing papers authored by Michael McTear

Since Specialization
Citations

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

Fields of papers citing papers by Michael McTear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002228
2 2016224
3 2016138
4 2004138
5 2019112
6 2021102
7
Pragmatic Disability in Children
199290
8 202080
9 200876
10 200476
11 201776
12 199366
13 201058
14
Understanding Knowledge Engineering
199054
15 199853
16 202152
17 198845
18 201844
19 200938
20 202129

About Michael McTear

Michael McTear is a scholar working on Artificial Intelligence, General Health Professions, Applied Psychology, Human-Computer Interaction and Information Systems, having authored 88 papers that have together received 2.2k indexed citations. Recurring topics across this work include Speech and dialogue systems (37 papers), Natural Language Processing Techniques (20 papers), Multi-Agent Systems and Negotiation (20 papers), Topic Modeling (12 papers), AI in Service Interactions (11 papers), Mobile Health and mHealth Applications (9 papers), Digital Mental Health Interventions (9 papers) and Semantic Web and Ontologies (5 papers). The work is most often cited by research in Applied Psychology (287 citations), Human-Computer Interaction (251 citations), Artificial Intelligence (1.4k citations), Health Informatics (40 citations) and Social Psychology (367 citations). Michael McTear has collaborated with scholars based in United Kingdom, Ireland and Spain. Frequent co-authors include Zoraida Callejas, David Griol, Kristiina Jokinen, Raymond Bond, Gina Conti‐Ramsden, Maurice Mulvenna, Siobhan O’Neill, David Smith, Anne Moorhead and Huiru Zheng. Their work appears in journals such as Artificial Intelligence Review, International Journal of Language & Communication Disorders, Science of Computer Programming, Diabetes Technology & Therapeutics and Electronics.

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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