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researcher

Christos Anagnostopoulos

University of Glasgow

14 papers hereh-index 262.8k citations193 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • middle author6
  • last author7

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.DB4
  • cs.DC4
  • cs.LG4
  • cs.IR1
  • cs.NI1
affiliations
  • University of Glasgow
Homepage
same name
  • Christos Anagnostopoulos — 10 papers, h 3
  • Christos Anagnostopoulos — 6 papers, h 4
  • Christos Anagnostopoulos — 5 papers, h 4
  • Christos Anagnostopoulos — 3 papers, h 2
  • Christos Anagnostopoulos — 2 papers, h 3
  • Christos Anagnostopoulos — 2 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedExplaining Aggregates for Exploratory Analytics

14 citations · 32 across the 14 of their papers we have counts for

collaborators
Showing cs.DCShow all

4 papers · 1 filter

cs.DC2021★ 1 cited

Local Learning at the Network Edge for Efficient & Secure Real-Time Predictive Analytics

Natascha Harth, Hans-Joerg Voegel, Kostas Kolomvatsos +1

The ability to perform computation on devices, such as smartphones, cars, or other nodes present at the Internet of Things leads to constraints regarding bandwidth, storage, and en…

cs.DC2021

A Soft Method for Outliers Detection at the Edge of the Network

Kostas Kolomvatsos, Christos Anagnostopoulos

The combination of the Internet of Things and the Edge Computing gives many opportunities to support innovative applications close to end users. Numerous devices present in both in…

cs.DC2020

On the Road from Edge Computing to the Edge Mesh

Panagiotis Oikonomou, Anna Karanika, Christos Anagnostopoulos +1

Nowadays, we are witnessing the advent of the Internet of Things (EC) with numerous devices performing interactions between them or with end users. The huge number of devices leads…

cs.DC2020

Data Synopses Management based on a Deep Learning Model

Panagiotis Fountas, Kostas Kolomvatsos, Christos Anagnostopoulos

Pervasive computing involves the placement of processing services close to end users to support intelligent applications. With the advent of the Internet of Things (IoT) and the Ed…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.