Underwriting Analytics
Underwriting Analytics is a subfield of insurance analytics that applies statistical modeling, machine learning, and other data-driven methods to evaluate and price individual and portfolio-level risks, thereby informing and optimizing underwriting decisions and policies.
42
Publications
2.1K
Citations
103
Authors
66
Institutions
Publications per year
2017–2026
26
42
1–5 of 42
103
2
h-index
IBM Research - Thomas J. Watson Research Center, United States
2 publications · 55 citations
2
h-index
2
h-index
IBM Research - Thomas J. Watson Research Center, United States
2 publications · 55 citations
2
h-index
1
h-index
1–5 of 103
66
University of Oxford
Oxford, United Kingdom
3 h-index
11 publications
222 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
2 h-index
10 publications
292 citations
University of Kent
Canterbury, United Kingdom
2 h-index
2 publications
42 citations

University of Minnesota
Minneapolis, United States
2 h-index
2 publications
141 citations

McGill University
Montreal, Canada
2 h-index
2 publications
141 citations
Ball State University
Muncie, United States
1 h-index
1 publications
15 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
1 h-index
1 publications
28 citations
Munich Re (United States)
Princeton, United States
1 h-index
1 publications
38 citations
1–8 of 66
NAAJ · 4 publications · 101 citations
4
h-index
2 publications · 420 citations
2
h-index
2 publications · 91 citations
2
h-index
2 publications · 128 citations
2
h-index
1 publications · 15 citations
1
h-index
1–5