Ai Conversation
AI Conversation is a scholarly contribution in the form of a method, model, framework, theory, construct, dataset, task, or metric that enables or advances the capability of artificial systems to engage in human-like dialogue within the domain of conversational interfaces.
491
Publications
41.7K
Citations
1.8K
Authors
745
Institutions
Publications per year
2017–2026
455
Parents
491
Yogesh K. Dwivedi, Nir Kshetri, Laurie Hughes et al. · International Journal of Information Management · 2023 · 3.7K citations · Full text
1–5 of 491
1.8K
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745
Stanford University
Stanford, United States
10 h-index
13 publications
2.3K citations
University of Washington
Seattle, United States
9 h-index
15 publications
2.2K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
8 h-index
17 publications
5.8K citations
University of California San Diego
San Diego, United States
8 h-index
17 publications
16.8K citations

University of Toronto
Toronto, Canada
7 h-index
25 publications
1.3K citations

The University of Melbourne
Melbourne, Australia
7 h-index
8 publications
676 citations

Cornell University
Ithaca, United States
7 h-index
16 publications
572 citations
University of Oxford
Oxford, United Kingdom
6 h-index
4 publications
1.1K citations
1–8 of 745
Repository · 18 publications · 1.9K citations
16
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Repository · 21 publications · 562 citations
16
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6 publications · 1K citations
7
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6 publications · 695 citations
6
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6 publications · 693 citations
6
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