Real-time Data Processing
Real-Time Data Processing is a computational method within data handling that enables immediate acquisition, analysis, and response to data streams from digital instrumentation and IoT cloud platforms with minimal latency, distinguishing it from batch or offline processing by its strict temporal constraints on data throughput and system responsiveness.
713
Publications
35.1K
Citations
2.7K
Authors
924
Institutions
Publications per year
2017–2026
329
713
Denial of service in sensor networks
A.D. Wood, John A. Stankovic · Computer · 2002 · 1.7K citations
Advanced multiplexed analysis with the FlowMetrix system.
R J Fulton, Ralph L. McDade, Perry L. Smith et al. · PubMed · 1997 · 707 citations
Advanced multiplexed analysis with the FlowMetrixTM system
R J Fulton, Ralph L. McDade, Perry L. Smith et al. · Clinical Chemistry · 1997 · 645 citations · Full text
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Kyungpook National University
Daegu, South Korea
10 h-index
40 publications
2.1K citations

Chinese Academy of Sciences
Beijing, China
8 h-index
23 publications
633 citations
Wuhan University
Wuhan, China
7 h-index
18 publications
620 citations
Tsinghua University
Beijing, China
6 h-index
33 publications
1.1K citations
IBM (United States)
Armonk, United States
6 h-index
8 publications
234 citations
Argonne National Laboratory
Lemont, United States
5 h-index
17 publications
433 citations
University of Cambridge
Cambridge, United Kingdom
5 h-index
11 publications
538 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
5 h-index
12 publications
191 citations
1–8 of 924
19 publications · 1.8K citations
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21 publications · 1.3K citations
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11 publications · 940 citations
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10 publications · 219 citations
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8 publications · 594 citations
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