Artificial Intelligence In Selection
Artificial Intelligence in Selection is a scholarly contribution in the field of candidate assessment that employs computational models and machine learning techniques to automate, enhance, or transform decision-making processes in personnel selection, distinguished from traditional methods by its capacity to learn from data, identify complex patterns, and make predictive evaluations with minimal human intervention.
147
Publications
7.7K
Citations
475
Authors
265
Institutions
Publications per year
2017–2026
101
Parents
147
Oihab Allal‐Chérif, Alba Yela Aránega, Rafael Castaño Sánchez · Technological Forecasting and Social Change · 2021 · 261 citations · Full text
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Khalifa University of Science and Technology, United Arab Emirates
2 publications · 44 citations
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2
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1–5 of 475
265
Purdue University West Lafayette
West Lafayette, United States
3 h-index
6 publications
462 citations

University of North Carolina at Charlotte
Charlotte, United States
2 h-index
3 publications
138 citations

National Agriculture and Food Research Organization
Tsukuba, Japan
2 h-index
4 publications
105 citations
Kingdom University
Ar Rifā‘, Bahrain
2 h-index
2 publications
84 citations
Galgotias University
Greater Noida, India
2 h-index
4 publications
66 citations
Khalifa University of Science and Technology
Abu Dhabi, United Arab Emirates
2 h-index
10 publications
220 citations
George Washington University
Washington, United States
2 h-index
2 publications
169 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
2 publications
102 citations
1–8 of 265
5 publications · 865 citations
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Repository · 3 publications · 78 citations
3
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2 publications · 92 citations
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2 publications · 132 citations
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2 publications · 96 citations
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