Detector Response Modeling
Detector Response Modeling is a computational framework that characterizes the dynamic sensitivity and signal generation behavior of radiation detectors under varying operational conditions, distinguishing itself by quantitatively relating incident alpha particle fluxes to measurable electrical responses while accounting for temporal effects such as dead time and environmental variables encountered in fire simulations.
422
Publications
15.1K
Citations
4.3K
Authors
637
Institutions
Publications per year
2017–2026
59
422
Reinforcement Learning for Visual Object Detection
Stefan Mathe, Aleksis Pirinen, Cristian Sminchisescu · 2016 · 177 citations
1–5 of 422
4.3K
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5
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5
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4
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National Institutes for Quantum Science and Technology, Japan
3 publications · 101 citations
3
h-index
1–5 of 4.3K
637

Centre National de la Recherche Scientifique
Paris, France
17 h-index
73 publications
2.4K citations

European Organization for Nuclear Research
Geneva, Switzerland
12 h-index
51 publications
11.8K citations
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
Paris, France
12 h-index
63 publications
1.5K citations
Los Alamos National Laboratory
Los Alamos, United States
11 h-index
58 publications
1.3K citations
North Carolina State University
Raleigh, United States
10 h-index
24 publications
993 citations

Fermi National Accelerator Laboratory
Batavia, United States
10 h-index
40 publications
1.8K citations
Institut National de Physique Nucléaire et de Physique des Particules
Paris, France
9 h-index
49 publications
1.7K citations
Universidade de São Paulo
São Paulo, Brazil
8 h-index
14 publications
318 citations
1–8 of 637
61 publications · 2.2K citations
26
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24 publications · 1.2K citations
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22 publications · 729 citations
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25 publications · 837 citations
15
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15 publications · 454 citations
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1–5