Ángel Carmona-Poyato

Ángel Carmona-Poyato

Universidad de Córdoba

H-index: 19

Europe-Spain

About Ángel Carmona-Poyato

Ángel Carmona-Poyato, With an exceptional h-index of 19 and a recent h-index of 13 (since 2020), a distinguished researcher at Universidad de Córdoba, specializes in the field of Análisis de Imagen. Visión artificial. Series temporales.

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

Optimal online time-series segmentation

ReSLAM: Reusable SLAM with heterogeneous cameras

Assessing polygonal approximations: A new measurement and a comparative study

A new approach for optimal offline time-series segmentation with error bound guarantee

Unsupervised generation of polygonal approximations based on the convex hull

A new approach for optimal time-series segmentation

Ángel Carmona-Poyato Information

University

Position

Profesor de Ciencia de la Computación.

Citations(all)

1198

Citations(since 2020)

382

Cited By

990

hIndex(all)

19

hIndex(since 2020)

13

i10Index(all)

31

i10Index(since 2020)

15

Email

University Profile Page

Universidad de Córdoba

Google Scholar

View Google Scholar Profile

Ángel Carmona-Poyato Skills & Research Interests

Análisis de Imagen. Visión artificial. Series temporales

Top articles of Ángel Carmona-Poyato

Title

Journal

Author(s)

Publication Date

Optimal online time-series segmentation

Knowledge and Information Systems

Ángel Carmona-Poyato

Nicolás-Luis Fernández-García

Francisco-José Madrid-Cuevas

Rafael Muñoz-Salinas

Francisco-José Romero-Ramírez

2024/4

ReSLAM: Reusable SLAM with heterogeneous cameras

Neurocomputing

Francisco J Romero-Ramirez

Rafael Muñoz-Salinas

Manuel J Marín-Jiménez

Angel Carmona-Poyato

Rafael Medina-Carnicer

2024/1/1

Assessing polygonal approximations: A new measurement and a comparative study

Pattern Recognition

Nicolás Luis Fernández-García

Luis Del-Moral Martínez

Ángel Carmona-Poyato

Francisco José Madrid-Cuevas

Rafael Medina-Carnicer

2023/6/1

A new approach for optimal offline time-series segmentation with error bound guarantee

Pattern Recognition

Ángel Carmona-Poyato

Nicolás Luis Fernández-Garcia

Francisco José Madrid-Cuevas

Antonio Manuel Durán-Rosal

2021/7/1

Unsupervised generation of polygonal approximations based on the convex hull

Pattern Recognition Letters

Nicolás Luis Fernández García

Luis Del-Moral Martínez

Ángel Carmona Poyato

Francisco José Madrid Cuevas

Rafael Medina Carnicer

2020/7/1

A new approach for optimal time-series segmentation

Pattern Recognition Letters

Ángel Carmona-Poyato

Nicolás Luis Fernández-García

Francisco José Madrid-Cuevas

Antonio Manuel Durán-Rosal

2020/7/1

See List of Professors in Ángel Carmona-Poyato University(Universidad de Córdoba)