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Sam Comber

Sam Comber

University of Liverpool

H-index: 6

Europe-United Kingdom

Contact Sam Comber

About Sam Comber

Sam Comber, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at University of Liverpool, specializes in the field of Applied Statistics, Spatial Data Science, Machine Learning, Retail, Data Science.

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

An image library: The potential of imagery in (quantitative) social sciences

Dynamic-IMD (D-IMD): Introducing activity spaces to deprivation measurement in London, Birmingham and Liverpool

Retail Research in the Age of Big Data: Guiding the Search for Answers

A geographic data science framework for the functional and contextual analysis of human dynamics within global cities

Using convolutional autoencoders to extract visual features of leisure and retail environments

Building hierarchies of retail centers using Bayesian multilevel models

Demonstrating the utility of machine learning innovations in address matching to spatial socio-economic applications

Sam Comber Information

University

Position

PhD candidate

Citations(all)

129

Citations(since 2020)

127

Cited By

21

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Sam Comber Skills & Research Interests

Applied Statistics

Spatial Data Science

Machine Learning

Retail

Data Science

Top articles of Sam Comber

An image library: The potential of imagery in (quantitative) social sciences

2022/11/15

Francisco Rowe
Francisco Rowe

H-Index: 14

Meixu Chen
Meixu Chen

H-Index: 2

Sam Comber
Sam Comber

H-Index: 3

Dynamic-IMD (D-IMD): Introducing activity spaces to deprivation measurement in London, Birmingham and Liverpool

Cities

2022/8/1

Sam Comber
Sam Comber

H-Index: 3

Retail Research in the Age of Big Data: Guiding the Search for Answers

2021

Sam Comber
Sam Comber

H-Index: 3

A geographic data science framework for the functional and contextual analysis of human dynamics within global cities

Computers, Environment and Urban Systems

2021/1/1

Alessia Calafiore
Alessia Calafiore

H-Index: 5

Gregory Palmer
Gregory Palmer

H-Index: 8

Sam Comber
Sam Comber

H-Index: 3

Alex Singleton
Alex Singleton

H-Index: 0

Using convolutional autoencoders to extract visual features of leisure and retail environments

Landscape and Urban Planning

2020/10/1

Sam Comber
Sam Comber

H-Index: 3

Alex Singleton
Alex Singleton

H-Index: 0

Les Dolega
Les Dolega

H-Index: 9

Building hierarchies of retail centers using Bayesian multilevel models

Annals of the American Association of Geographers

2020/7/3

Sam Comber
Sam Comber

H-Index: 3

Alex Singleton
Alex Singleton

H-Index: 0

Guanpeng Dong
Guanpeng Dong

H-Index: 13

Les Dolega
Les Dolega

H-Index: 9

Demonstrating the utility of machine learning innovations in address matching to spatial socio-economic applications

Region

2020/1/13

Sam Comber
Sam Comber

H-Index: 3

See List of Professors in Sam Comber University(University of Liverpool)

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