Real-time Processing
Real-Time Processing is a computational paradigm within edge and distributed systems that enables immediate data analysis and response within strict temporal constraints, distinguishing it from batch or delayed processing by guaranteeing timely execution critical for latency-sensitive applications in edge computing, IoT, and electroacoustic systems.
17.2K
Publications
889.8K
Citations
58.2K
Authors
7.8K
Institutions
Publications per year
2017–2026
6.1K
17.2K
Face recognition using eigenfaces
Matthew Turk, Alex Pentland · 2002 · 5.2K citations
Cellular neural networks: theory
Leon O. Chua, L. Yang · IEEE Transactions on Circuits and Systems · 1988 · 4.8K citations
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58.2K
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7.8K
University of California, Berkeley
Berkeley, United States
61 h-index
434 publications
53.1K citations
Massachusetts Institute of Technology
Cambridge, United States
56 h-index
362 publications
42.4K citations
Stanford University
Stanford, United States
55 h-index
354 publications
43.8K citations

Centre National de la Recherche Scientifique
Paris, France
49 h-index
663 publications
28.6K citations
Carnegie Mellon University
Pittsburgh, United States
48 h-index
315 publications
25.3K citations

Chinese Academy of Sciences
Beijing, China
48 h-index
605 publications
25.8K citations
University of California San Diego
San Diego, United States
48 h-index
286 publications
22.6K citations
Georgia Institute of Technology
Atlanta, United States
48 h-index
361 publications
19.2K citations
1–8 of 7.8K
241 publications · 13.2K citations
60
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346 publications · 14.2K citations
55
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101 publications · 10.9K citations
53
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TOG · 71 publications · 12.7K citations
49
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114 publications · 5.6K citations
42
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