Hierarchical Analytics
Hierarchical Analytics is a distributed data processing framework that organizes analytical computations across multiple tiers of networked devices, from edge nodes to cloud servers, to optimize latency, bandwidth utilization, and decision-making efficiency by executing progressively refined analysis at each hierarchical level.
14
Publications
2K
Citations
35
Authors
22
Institutions
Publications per year
2017–2026
8
Parents
14
1–5 of 14
35
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22
Shenzhen Research Institute of Big Data
Shenzhen, China
1 h-index
1 publications
12 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
1 h-index
2 publications
248 citations

Maulana Azad National Institute of Technology
Bhopal, India
1 h-index
2 publications
184 citations
Nanyang Technological University
Singapore, Singapore
1 h-index
1 publications
169 citations

Universidad Carlos III de Madrid
Madrid, Spain
1 h-index
1 publications
47 citations
Colorado State University
Fort Collins, United States
1 h-index
2 publications
24 citations

University of Lübeck
Lübeck, Germany
1 h-index
1 publications
16 citations
Global Strategy Group
New York, United States
1 h-index
1 publications
71 citations
1–8 of 22
2 publications · 216 citations
2
h-index
1 publications · 42 citations
1
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1 publications · 12 citations
1
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CIM · 1 publications · 191 citations
1
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1 publications · 16 citations
1
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1–5