ProfessorsProfessors of University of GreenwichChris Walshaw

Chris Walshaw

University of Greenwich

H-index: 28

Europe-United Kingdom

About Chris Walshaw

Chris Walshaw, With an exceptional h-index of 28 and a recent h-index of 12 (since 2020), a distinguished researcher at University of Greenwich, specializes in the field of data science & AI, combinatorial optimisation, multilevel refinement, graph partitioning, music information retrieval.

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

Asignaci´ on de cabezales radio a procesadores banda base mediante redes neuronales de grafos (" Assignment of radio heads to baseband processors through graph neural networks")

Asignación de cabezales radio a procesadores banda base mediante redes neuronales de grafos.

A comparison of time-series predictions for healthcare emergency department indicators and the impact of COVID-19

Improving Black Box Classification Model Veracity for Electronics Anomaly Detection

A tale of two KTPs–an academic perspective

Failure mode & effect analysis and another methodology for improving data veracity and validity

Chris Walshaw Information

University	University of Greenwich
Position	___
Citations(all)	4143
Citations(since 2020)	588
Cited By	3602
hIndex(all)	28
hIndex(since 2020)	12
i10Index(all)	61
i10Index(since 2020)	13
Email	Access Email
University Profile Page	University of Greenwich
Google Scholar	View Google Scholar Profile

Chris Walshaw Skills & Research Interests

data science & AI

combinatorial optimisation

multilevel refinement

graph partitioning

music information retrieval

Top articles of Chris Walshaw

Title	Journal	Author(s)	Publication Date
Asignaci´ on de cabezales radio a procesadores banda base mediante redes neuronales de grafos (" Assignment of radio heads to baseband processors through graph neural networks")		Joaquin M Sanchez-Martin Chris Walshaw Juan Luis Bejarano-Luque Carolina Gijon	2023/6/2
Asignación de cabezales radio a procesadores banda base mediante redes neuronales de grafos.		Joaquín Manuel Sánchez-Martín Matías Toril-Genovés Chris Walshaw Juan Luis Bejarano-Luque Carolina Gijón-Martín	2023
A comparison of time-series predictions for healthcare emergency department indicators and the impact of COVID-19	Applied Sciences	Diego Duarte Chris Walshaw Nadarajah Ramesh	2021/4/15
Improving Black Box Classification Model Veracity for Electronics Anomaly Detection		Ana Elsa Hinojosa Herrera Chris Walshaw Chris Bailey	2020/11/9
A tale of two KTPs–an academic perspective	Mathematics Today	Christopher Walshaw	2020/10/1
Failure mode & effect analysis and another methodology for improving data veracity and validity	Annals of Emerging Technologies in Computing (AETiC), Print ISSN	Ana Elsa Hinojosa Herrera Chris Walshaw Chris Bailey	2020/7/1