Response Function Modeling
Response Function Modeling is a computational framework that characterizes the relationship between incident gamma-ray photons and the measured detector output by mathematically describing the probability distribution of signal responses as a function of energy, position, and environmental conditions.
676
Publications
31.2K
Citations
1.8K
Authors
754
Institutions
Publications per year
2017–2026
87
Parents
676
1–5 of 676
1.8K
7
h-index
4
h-index
4
h-index
4
h-index
3
h-index
1–5 of 1.8K
754

Centre National de la Recherche Scientifique
Paris, France
15 h-index
39 publications
2.4K citations
North Carolina State University
Raleigh, United States
10 h-index
25 publications
936 citations
The University of Tokyo
Tokyo, Japan
10 h-index
17 publications
479 citations
Columbia University
New York, United States
9 h-index
14 publications
2.1K citations
Harvard University
Cambridge, United States
9 h-index
14 publications
856 citations
Massachusetts Institute of Technology
Cambridge, United States
9 h-index
19 publications
745 citations
Boston University
Boston, United States
8 h-index
17 publications
1.5K citations
Los Alamos National Laboratory
Los Alamos, United States
8 h-index
24 publications
413 citations
1–8 of 754
26 publications · 739 citations
18
h-index
PRB · 21 publications · 880 citations
16
h-index
17 publications · 620 citations
14
h-index
PRE · 9 publications · 188 citations
9
h-index
PRL · 9 publications · 805 citations
9
h-index
1–5