Antonio Cavalcante Araujo Neto

About Antonio Cavalcante Araujo Neto

Antonio Cavalcante Araujo Neto, With an exceptional h-index of 5 and a recent h-index of 4 (since 2020), a distinguished researcher at University of Alberta, specializes in the field of Data Mining, Clustering, Graph Mining.

His recent articles reflect a diverse array of research interests and contributions to the field:

Core-SG: efficient computation of multiple MSTS for density-based methods

Antonio Cavalcante Araujo Neto Information

University

Position

Postdoctoral Fellow -

Citations(all)

73

Citations(since 2020)

53

Cited By

48

hIndex(all)

5

hIndex(since 2020)

4

i10Index(all)

4

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Antonio Cavalcante Araujo Neto Skills & Research Interests

Data Mining

Clustering

Graph Mining

Top articles of Antonio Cavalcante Araujo Neto

Core-SG: efficient computation of multiple MSTS for density-based methods

2022/5/9

Antonio Cavalcante Araujo Neto
Antonio Cavalcante Araujo Neto

H-Index: 4

Jörg Sander
Jörg Sander

H-Index: 28

See List of Professors in Antonio Cavalcante Araujo Neto University(University of Alberta)

Co-Authors

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