Rule-based Screening
Rule-Based Screening is a resume screening method that systematically evaluates job applicants by applying predefined, logic-driven criteria to assess alignment with essential qualifications, distinguishing it from statistical or machine learning approaches through its reliance on explicit, human-encoded rules.
16
Publications
776
Citations
72
Authors
30
Institutions
Publications per year
2017–2026
8
Parents
16
Randy Jalem, Masanobu Nakayama, Toshihiro Kasuga · Journal of Materials Chemistry A · 2013 · 98 citations
1–5 of 16
72
3
h-index
1
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1
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1
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1
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1–5 of 72
30
China Agricultural University
Beijing, China
3 h-index
6 publications
122 citations

Nagoya Institute of Technology
Nagoya, Japan
2 h-index
6 publications
594 citations

Pacific Northwest National Laboratory
Richland, United States
1 h-index
2 publications
392 citations

Boğaziçi University
Istanbul, Türkiye
1 h-index
2 publications
130 citations
Université Paris Cité
Paris, France
1 h-index
1 publications
30 citations

McMaster University
Hamilton, Canada
1 h-index
1 publications
12 citations
Liverpool John Moores University
Liverpool, United Kingdom
1 h-index
4 publications
96 citations
Université Claude Bernard Lyon 1
Villeurbanne, France
1 h-index
1 publications
24 citations
1–8 of 30
1 publications · 24 citations
1
h-index
1 publications · 196 citations
1
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1 publications · 20 citations
1
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1 publications · 25 citations
1
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1 publications · 38 citations
1
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1–5