Carlos R. Rivero

Rochester Institute of Technology

H-index: 14

North America-United States

About Carlos R. Rivero

Carlos R. Rivero, With an exceptional h-index of 14 and a recent h-index of 10 (since 2020), a distinguished researcher at Rochester Institute of Technology, specializes in the field of Knowledge Graphs, Information Integration, Graph Databases, Code Comprehension, Deep Web.

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

A Model-Agnostic Method to Interpret Link Prediction Evaluation of Knowledge Graph Embeddings

AYNEXT-tools for streamlining the evaluation of link prediction techniques

Improving program matching to automatically repair introductory programs

CAFE: Knowledge graph completion using neighborhood-aware features

Revisiting the evaluation protocol of knowledge graph completion methods for link prediction

Learning to recognize semantically similar program statements in introductory programming assignments

Flexible program alignment to deliver data-driven feedback to novice programmers

The impact of negative triple generation strategies and anomalies on knowledge graph completion

Carlos R. Rivero Information

University	Rochester Institute of Technology
Position	___
Citations(all)	673
Citations(since 2020)	361
Cited By	434
hIndex(all)	14
hIndex(since 2020)	10
i10Index(all)	23
i10Index(since 2020)	12
Email	Access Email
University Profile Page	Rochester Institute of Technology
Google Scholar	View Google Scholar Profile