Ai Scalability
AI Scalability is a strategic framework within artificial intelligence that specifies the capacity of AI systems to maintain performance efficiency and operational effectiveness as they expand in scope, complexity, or deployment scale across diverse organizational and technical environments.
17
Publications
772
Citations
45
Authors
29
Institutions
Publications per year
2017–2026
16
17
Roberto Moro Visconti, Salvador Cruz Rambaud, Joaquín López Pascual · Humanities and Social Sciences Communications · 2023 · 70 citations · Full text
Scaling games to epic proportions
Walker White, Alan Demers, Christoph Koch et al. · 2007 · 59 citations · Full text
1–5 of 17
45
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1
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1
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University of Maryland, Baltimore County, United States
1 publications · 88 citations
1
h-index
University of Maryland, Baltimore County, United States
1 publications · 88 citations
1
h-index
1–5 of 45
29

Radboud University Nijmegen
Nijmegen, The Netherlands
1 h-index
2 publications
28 citations

Università Cattolica del Sacro Cuore
Milan, Italy
1 h-index
1 publications
70 citations
Defence Electronics Application Laboratory
Dehra Dūn, India
1 h-index
3 publications
60 citations
Department for Work and Pensions
London, United Kingdom
1 h-index
1 publications
43 citations

University of St.Gallen
Saint Gallen, Switzerland
1 h-index
3 publications
351 citations

Hochschule für Angewandte Wissenschaften Kiel
Kiel, Germany
1 h-index
1 publications
40 citations

Hanken School of Economics
Helsinki, Finland
1 h-index
1 publications
117 citations

University of Vaasa
Vaasa, Finland
1 h-index
1 publications
117 citations
1–8 of 29
2 publications · 157 citations
2
h-index
1 publications · 70 citations
1
h-index
1 publications · 24 citations
1
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1 publications · 20 citations
1
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AI · 1 publications · 14 citations
1
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