Resume Screening Analytics
Resume Screening Analytics is a methodological framework within Talent Acquisition Analytics that systematically evaluates and quantifies the effectiveness, efficiency, and bias of automated and manual processes used to assess candidate resumes during the initial stages of recruitment.
11
Publications
527
Citations
45
Authors
14
Institutions
Publications per year
2017–2026
9
Parents
11
Mitigating Demographic Bias in AI-based Resume Filtering
Ketki V. Deshpande, Shimei Pan, James R. Foulds · 2020 · 63 citations
1–5 of 11
45
1
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1
h-index
1 publications · 34 citations
1
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1
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1
h-index
1–5 of 45
14
Massachusetts Institute of Technology
Cambridge, United States
1 h-index
3 publications
36 citations
Tecnológico Nacional de México
Mexico City, Mexico
1 h-index
4 publications
64 citations
Instituto Tecnológico de Hermosillo
Hermosillo, Mexico
1 h-index
4 publications
64 citations
Columbia University
New York, United States
1 h-index
2 publications
24 citations
University of Pennsylvania
Philadelphia, United States
1 h-index
1 publications
211 citations
Idiap Research Institute
Martigny-Combe, Switzerland
1 h-index
2 publications
146 citations
Nagpur Institute of Technology
Nagpur, India
1 h-index
6 publications
96 citations
Institute of Engineering
Pulchowk, Nepal
1 h-index
1 publications
39 citations
1–8 of 14
Conference · 1 publications · 25 citations
1
h-index
1 publications · 73 citations
1
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1 publications · 211 citations
1
h-index
1 publications · 34 citations
1
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Conference · 1 publications · 39 citations
1
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1–5