Candidate Screening Analytics
Candidate Screening Analytics is a methodological framework within recruitment analytics that systematically evaluates and quantifies the effectiveness, efficiency, and fairness of pre-employment screening processes through the application of data-driven models and performance metrics.
19
Publications
1.1K
Citations
78
Authors
35
Institutions
Publications per year
2017–2026
12
Parents
19
Stacked KNN with hard voting predictive approach to assist hiring process in IT organizations
Sushruta Mishra, Pradeep Kumar Mallick, Hrudaya Kumar Tripathy et al. · International Journal of Electrical Engineering Education · 2021 · 61 citations
Computing, Computer Science, Management Information Systems +17
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35
University of Kansas Medical Center
Kansas City, United States
1 h-index
4 publications
108 citations
Indian Institute of Rice Research
Hyderabad, India
1 h-index
2 publications
30 citations
Higher Institute for Tourism, Hotels and Computer
Alexandria, Egypt
1 h-index
2 publications
48 citations
Western Carolina University
Cullowhee, United States
1 h-index
2 publications
44 citations

Imperial College London
London, United Kingdom
1 h-index
4 publications
224 citations
University Canada West
Vancouver, Canada
1 h-index
1 publications
37 citations

Clalit Health Services
Tel Aviv, Israel
1 h-index
2 publications
38 citations
University Health System
San Antonio, United States
1 h-index
1 publications
49 citations
1–8 of 35
IJEEE · 1 publications · 61 citations
1
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1 publications · 24 citations
1
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ASR · 1 publications · 514 citations
1
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AJHP · 1 publications · 49 citations
1
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CJPR · 1 publications · 27 citations
1
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