Measurable Spaces
Measurable Spaces is a foundational construct in measure-theoretic probability consisting of a set equipped with a σ-algebra, which together define the domain for measurable functions and serve as the basis for assigning probabilities in a rigorous mathematical framework.
1.2K
Publications
66.9K
Citations
1.5K
Authors
653
Institutions
Publications per year
2017–2026
85
1.2K
Contraction mappings in $b$-metric spaces
Stefan Czerwik · Czech digital mathematics library · 1993 · 1K citations · Full text
An Axiomatic Approach to Measurable Utility
I. N. Herstein, John Milnor · Econometrica · 1953 · 714 citations
Business, Economics, Mathematics +9
1–5 of 1.2K
1.5K
15
h-index
13
h-index
8
h-index
8
h-index
7
h-index
1–5 of 1.5K
653
University of California, Berkeley
Berkeley, United States
14 h-index
18 publications
1.5K citations

Flinders University
Adelaide, Australia
13 h-index
26 publications
772 citations

Centre National de la Recherche Scientifique
Paris, France
13 h-index
20 publications
1K citations
Institute of Mathematics
Warsaw, Poland
11 h-index
15 publications
368 citations
University of Oxford
Oxford, United Kingdom
10 h-index
19 publications
914 citations
University of Wisconsin–Madison
Madison, United States
9 h-index
13 publications
1.2K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
8 h-index
9 publications
280 citations
University of Washington
Seattle, United States
8 h-index
9 publications
288 citations
1–8 of 653
TRAN · 103 publications · 5.3K citations
37
h-index
72 publications · 3K citations
32
h-index
38 publications · 2.5K citations
25
h-index
PROC · 63 publications · 1.5K citations
22
h-index
25 publications · 1.1K citations
17
h-index
1–5