Michael McTear

63 papers and 1.2k indexed citations i.

About

Michael McTear is a scholar working on Artificial Intelligence, General Health Professions and Applied Psychology. According to data from OpenAlex, Michael McTear has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 8 papers in General Health Professions and 8 papers in Applied Psychology. Recurrent topics in Michael McTear’s work include Speech and dialogue systems (27 papers), Multi-Agent Systems and Negotiation (17 papers) and Natural Language Processing Techniques (13 papers). Michael McTear is often cited by papers focused on Speech and dialogue systems (27 papers), Multi-Agent Systems and Negotiation (17 papers) and Natural Language Processing Techniques (13 papers). Michael McTear collaborates with scholars based in United Kingdom, Ireland and United States. Michael McTear's co-authors include Zoraida Callejas, David Griol, Raymond Bond, David Smith, Maurice Mulvenna, Siobhan O’Neill, Kristiina Jokinen, Vivien Coates, Anne Moorhead and Huiru Zheng and has published in prestigious journals such as PLoS ONE, Communications of the ACM and Sensors.

In The Last Decade

Co-authorship network of co-authors of Michael McTear i

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.

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).

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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