Ryan Engstrom

Ryan Engstrom

George Washington University

H-index: 27

North America-United States

About Ryan Engstrom

Ryan Engstrom, With an exceptional h-index of 27 and a recent h-index of 24 (since 2020), a distinguished researcher at George Washington University, specializes in the field of Remote Sensing, Climate Change, GIS, Population, Poverty.

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

Towards a scalable and transferable approach to map deprived areas using Sentinel-2 images and machine learning

Mapping Deprived Urban Areas Using Open Geospatial Data and Machine Learning in Africa

Evaluating the Ability to Use Contextual Features to Map Deprived Areas ‘Slums’ in Multiple Cities

Reflecting on the YouthMappers Movement

A methodology for georeferencing and mosaicking corona imagery in semi-arid environments

Small area estimation of non-monetary poverty with geospatial data

Development of a Multi-City Deprived Area Mapping Ecosystem

Welfare Tracking in the Aftermath of Crisis

Ryan Engstrom Information

University

Position

Department of Geography

Citations(all)

2256

Citations(since 2020)

1301

Cited By

1460

hIndex(all)

27

hIndex(since 2020)

24

i10Index(all)

38

i10Index(since 2020)

35

Email

University Profile Page

Google Scholar

Ryan Engstrom Skills & Research Interests

Remote Sensing

Climate Change

GIS

Population

Poverty

Top articles of Ryan Engstrom

Towards a scalable and transferable approach to map deprived areas using Sentinel-2 images and machine learning

Computers, Environment and Urban Systems

2024/4/1

Mapping Deprived Urban Areas Using Open Geospatial Data and Machine Learning in Africa

Urban Science

2023/11/8

Evaluating the Ability to Use Contextual Features to Map Deprived Areas ‘Slums’ in Multiple Cities

2023/7/16

Reflecting on the YouthMappers Movement

2022/11/29

A methodology for georeferencing and mosaicking corona imagery in semi-arid environments

Remote Sensing

2022/10/27

Ryan Engstrom
Ryan Engstrom

H-Index: 18

Small area estimation of non-monetary poverty with geospatial data

Statistical Journal of the IAOS

2022/1/1

Ryan Engstrom
Ryan Engstrom

H-Index: 18

Development of a Multi-City Deprived Area Mapping Ecosystem

2021/7/11

Ryan Engstrom
Ryan Engstrom

H-Index: 18

Monika Kuffer
Monika Kuffer

H-Index: 18

Welfare Tracking in the Aftermath of Crisis

2021

Ryan Engstrom
Ryan Engstrom

H-Index: 18

Welfare Tracking in the Aftermath of Crisis: The Central Sulawesi Disaster Response

2021

Ryan Engstrom
Ryan Engstrom

H-Index: 18

Poverty from Space: Using High Resolution Satellite Imagery for Estimating Economic Well-being

The World Bank Economic Review

2021

Ryan Engstrom
Ryan Engstrom

H-Index: 18

Policy Research Working Paper 9383

Policy

2020/9

Ryan Engstrom
Ryan Engstrom

H-Index: 18

Estimating small-area population density in Sri Lanka using surveys and Geo-spatial data

PLoS ONE

2020/8/5

Ryan Engstrom
Ryan Engstrom

H-Index: 18

Mapping Income Poverty in Belize Using Satellite Features and Machine Learning

2020/5

Ryan Engstrom
Ryan Engstrom

H-Index: 18

Michael Mann
Michael Mann

H-Index: 19

The role of earth observation in an integrated deprived area mapping “system” for low-to-middle income countries

2020/3/18

Open data for algorithms: mapping poverty in Belize using open satellite derived features and machine learning

Information Technology for Development

2021/4/3

Ryan Engstrom
Ryan Engstrom

H-Index: 18

Michael Mann
Michael Mann

H-Index: 19

See List of Professors in Ryan Engstrom University(George Washington University)

Co-Authors

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