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Emilio Ferrara

Thomas Lord Department of Computer Science, University of Southern California

161 papers hereh-index 6922.6k citations266 works total

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

author position
  • sole author15
  • first author17
  • middle author62
  • last author65

Across the 159 of 161 papers where every author was matched, so the position is known.

fields
  • cs.SI92
  • cs.CY14
  • cs.LG10
  • cs.AI8
  • cs.HC8
  • cs.CL7
affiliations
  • Thomas Lord Department of Computer Science, University of Southern California
  • Information Sciences Institute, University of Southern California, Los Angeles, CA, United States.
Homepage
same name
  • Emilio Ferrara — 22 papers, h 8
  • Emilio Ferrara — 12 papers
  • Emilio Ferrara — 12 papers, h 3
  • Emilio Ferrara — 10 papers, h 3
  • Emilio Ferrara — 7 papers, h 2
  • Emilio Ferrara — 5 papers, h 2

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
20102026
most citedGraph Embedding Techniques, Applications, and Performance: A Survey

1.9k citations · 16k across the 151 of their papers we have counts for

collaborators
Showing 2011 · cs.AIShow all

3 papers · 2 filters

cs.AI2011★ 3 cited

Intelligent Self-Repairable Web Wrappers

Emilio Ferrara, Robert Baumgartner

The amount of information available on the Web grows at an incredible high rate. Systems and procedures devised to extract these data from Web sources already exist, and different…

cs.AI2011★ 7 cited

Design of Automatically Adaptable Web Wrappers

Emilio Ferrara, Robert Baumgartner

Nowadays, the huge amount of information distributed through the Web motivates studying techniques to be adopted in order to extract relevant data in an efficient and reliable way.…

cs.AI2011★ 23 cited

Automatic Wrapper Adaptation by Tree Edit Distance Matching

Emilio Ferrara, Robert Baumgartner

Information distributed through the Web keeps growing faster day by day, and for this reason, several techniques for extracting Web data have been suggested during last years. Ofte…

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