Ryan Engstrom

2.0k total citations
54 papers, 1.5k citations indexed

About

Ryan Engstrom is a scholar working on Global and Planetary Change, Atmospheric Science and Media Technology. According to data from OpenAlex, Ryan Engstrom has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Global and Planetary Change, 18 papers in Atmospheric Science and 13 papers in Media Technology. Recurrent topics in Ryan Engstrom's work include Land Use and Ecosystem Services (25 papers), Impact of Light on Environment and Health (20 papers) and Climate change and permafrost (16 papers). Ryan Engstrom is often cited by papers focused on Land Use and Ecosystem Services (25 papers), Impact of Light on Environment and Health (20 papers) and Climate change and permafrost (16 papers). Ryan Engstrom collaborates with scholars based in United States, Netherlands and United Kingdom. Ryan Engstrom's co-authors include Douglas A. Stow, David Newhouse, Jonathan Hersh, A. Hope, Jordan Graesser, Joshua Comenetz, John R. Weeks, Hyojung Kwon, Walter C. Oechel and Allen Hope and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

Ryan Engstrom

48 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ryan Engstrom 787 480 285 215 162 54 1.5k
Aneta J. Florczyk 1.1k 1.4× 312 0.7× 233 0.8× 320 1.5× 213 1.3× 43 1.7k
Lars Brabyn 607 0.8× 156 0.3× 484 1.7× 172 0.8× 88 0.5× 54 1.6k
Michele Melchiorri 843 1.1× 226 0.5× 106 0.4× 277 1.3× 75 0.5× 34 1.3k
Xiaobin Jin 1.1k 1.4× 209 0.4× 227 0.8× 305 1.4× 23 0.1× 29 1.6k
Caitlin Kontgis 673 0.9× 269 0.6× 585 2.1× 47 0.2× 111 0.7× 15 1.5k
Anne Driscoll 691 0.9× 221 0.5× 114 0.4× 87 0.4× 82 0.5× 12 1.3k
Stamatis Kalogirou 629 0.8× 126 0.3× 291 1.0× 122 0.6× 88 0.5× 34 1.6k
Shawky Mansour 531 0.7× 152 0.3× 203 0.7× 159 0.7× 25 0.2× 41 1.1k
Marco Millones 1.1k 1.4× 259 0.5× 878 3.1× 58 0.3× 266 1.6× 20 1.9k

Countries citing papers authored by Ryan Engstrom

Since Specialization
Citations

This map shows the geographic impact of Ryan Engstrom's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ryan Engstrom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Engstrom more than expected).

Fields of papers citing papers by Ryan Engstrom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan Engstrom. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ryan Engstrom. The network helps show where Ryan Engstrom may publish in the future.

Co-authorship network of co-authors of Ryan Engstrom

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Engstrom. A scholar is included among the top collaborators of Ryan Engstrom based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ryan Engstrom. Ryan Engstrom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Häfner, Sebastian, Qunshan Zhao, Grant Tregonning, et al.. (2025). Towards an Indicator-Based Morphological Informality Model for Sub-Saharan Africa Using Open Building Footprint and Road Data (Version 1). ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences. XLVIII-M-7-2025. 221–228.
2.
Engstrom, Ryan, et al.. (2024). Large Area Mapping of Urban Deprivation from Sentinel-2 and Google Open Buildings using Deep Learning. University of Twente Research Information. 1567–1570.
3.
Kuffer, Monika, Ryan Engstrom, Dana R. Thomson, et al.. (2024). IDEAMAPS: Modelling Sub-Domains of Deprivation with EO and AI. University of Twente Research Information. 1562–1566.
4.
Engstrom, Ryan, et al.. (2023). Mapping Deprived Urban Areas Using Open Geospatial Data and Machine Learning in Africa. SHILAP Revista de lepidopterología. 7(4). 116–116. 8 indexed citations
5.
Masaki, Takaaki, et al.. (2022). Small area estimation of non-monetary poverty with geospatial data. Statistical Journal of the IAOS. 38(3). 1035–1051. 12 indexed citations
6.
Engstrom, Ryan, et al.. (2021). Poverty from Space: Using High Resolution Satellite Imagery for Estimating Economic Well-being. The World Bank Open Knowledge Repository (World Bank). 1 indexed citations
7.
Engstrom, Ryan, David Newhouse, & V. Soundararajan. (2020). Estimating small-area population density in Sri Lanka using surveys and Geo-spatial data. PLoS ONE. 15(8). e0237063–e0237063. 14 indexed citations
8.
Grace, Kathryn, David Wrathall, Alex de Sherbinin, et al.. (2019). People and Pixels 20 years later: the current data landscape and research trends blending population and environmental data. Population and Environment. 41(2). 209–234. 47 indexed citations
9.
Engstrom, Ryan, Jonathan Hersh, & David Newhouse. (2017). Poverty from Space: Using High-Resolution Satellite Imagery for Estimating Economic Well-Being. World Bank, Washington, DC eBooks. 90 indexed citations
10.
Mathison, David J., et al.. (2013). Primary Care Spatial Density and Nonurgent Emergency Department Utilization: A New Methodology for Evaluating Access to Care. Academic Pediatrics. 13(3). 278–285. 49 indexed citations
11.
Weeks, John R., Arthur Getis, Douglas A. Stow, et al.. (2012). Connecting the Dots Between Health, Poverty and Place in Accra, Ghana. Annals of the Association of American Geographers. 102(5). 932–941. 38 indexed citations
12.
Liljedahl, Anna, L. D. Hinzman, Yoshinobu Harazono, et al.. (2011). Nonlinear controls on evapotranspiration in Arctic coastal wetlands. 5 indexed citations
13.
Liljedahl, Anna, L. D. Hinzman, Yoshinobu Harazono, et al.. (2011). Nonlinear controls on evapotranspiration in arctic coastal wetlands. Biogeosciences. 8(11). 3375–3389. 91 indexed citations
14.
Engstrom, Ryan & Allen Hope. (2011). Parameter Sensitivity of the Arctic Biome–BGC Model for Estimating Evapotranspiration in the Arctic Coastal Plain. Arctic Antarctic and Alpine Research. 43(3). 380–388. 5 indexed citations
15.
Fu, Linda Y., et al.. (2009). Spatial Accessibility to Providers and Vaccination Compliance Among Children With Medicaid. PEDIATRICS. 124(6). 1579–1586. 29 indexed citations
16.
Sitch, Stephen, A. David McGuire, John S. Kimball, et al.. (2007). ASSESSING THE CARBON BALANCE OF CIRCUMPOLAR ARCTIC TUNDRA USING REMOTE SENSING AND PROCESS MODELING. Ecological Applications. 17(1). 213–234. 107 indexed citations
17.
Stow, Douglas A., A. K. Petersen, A. Hope, Ryan Engstrom, & Lloyd L. Coulter. (2007). Greenness trends of Arctic tundra vegetation in the 1990s: comparison of two NDVI data sets from NOAA AVHRR systems. International Journal of Remote Sensing. 28(21). 4807–4822. 84 indexed citations
18.
Engstrom, Ryan, Allen Hope, Hyojung Kwon, et al.. (2006). Modeling evapotranspiration in Arctic coastal plain ecosystems using a modified BIOME‐BGC model. Journal of Geophysical Research Atmospheres. 111(G2). 34 indexed citations
19.
Vourlitis, George L., Joseph Verfaillie, Walter C. Oechel, et al.. (2002). Spatial Variation in Regional CO 2 Exchange for the Kuparuk River Basin, Alaska Over the Summer Growing Season. AGU Fall Meeting Abstracts. 2002. 8 indexed citations
20.
Engstrom, Ryan, Allen Hope, D. A. Stow, & Hyojung Kwon. (2002). Characteristics of the Spatial Distribution of Surface Moisture in an Eddy Flux Tower Footprint in Arctic Coastal Plain Ecosystems. AGUFM. 2002. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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