Daniel Miller Runfola

William & Mary — United States

Computer Science · Physical Sciences

19h-index1.9kcitations3.2kworks5.42yr avg
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Research Topics

Advanced Computational Techniques and Applications(1641), Geographic Information Systems Studies(754), Geological Modeling and Analysis(717), Computational Physics and Python Applications(583), Coastal and Marine Management(425)

Publications3.2k total

Addressing spatial imprecision in deep learning for satellite imagery-based socioeconomic predictions
GIScience & Remote Sensing·2025· 2 citedOpen Access
BathyFormer: A Transformer-Based Deep Learning Method to Map Nearshore Bathymetry with High-Resolution Multispectral Satellite Imagery
Remote Sensing·2025· 10 citedOpen Access
From Prediction to Explanation: Using Explainable AI to Understand Satellite-Based Riot Forecasting Models
Remote Sensing·2025· 1 citedOpen Access
Spatially Adaptive Convolutional Networks with Coordinate-Conditioned Layers
2024· 3 citedOpen Access
Spatiotemporal Prediction of Conflict Fatality Risk Using Convolutional Neural Networks and Satellite Imagery
Remote Sensing·2024· 5 citedOpen Access
Predicting Protests and Riots in Urban Environments With Satellite Imagery and Deep Learning
Transactions in GIS·2024· 7 citedOpen Access
A multi-glimpse deep learning architecture to estimate socioeconomic census metrics in the context of extreme scope variance
International Journal of Geographical Information Systems·2024· 10 cited
Mapping the tidal marshes of coastal Virginia: a hierarchical transfer learning approach
GIScience & Remote Sensing·2023· 15 citedOpen Access
Tracking the industrial growth of modern China with high-resolution panchromatic imagery: A sequential convolutional approach
arXiv (Cornell University)·2023· 1 citedOpen Access
pyShore: A deep learning toolkit for shoreline structure mapping with high-resolution orthographic imagery and convolutional neural networks
Computers & Geosciences·2023· 10 cited
Deep learning fusion of satellite and social information to estimate human migratory flows
Transactions in GIS·2022· 13 citedOpen Access
Susceptibility & defense of satellite image-trained convolutional networks to backdoor attacks
Information Sciences·2022· 16 cited
Computational Geography
Geographic Information Science & Technology Body of Knowledge·2022· 1 citedOpen Access
geoBoundaries Global Administrative Zones version 6.0.0
Harvard Dataverse·2021· 1 citedOpen Access
Toponym-assisted map georeferencing: Evaluating the use of toponyms for the digitization of map collections
PLoS ONE·2021· 8 citedOpen Access
Using satellite data and deep learning to estimate educational outcomes in data-sparse environments
Remote Sensing Letters·2021· 16 cited
Predicting road quality using high resolution satellite imagery: A transfer learning approach
PLoS ONE·2021· 54 citedOpen Access
Toponym-assisted map georeferencing: Evaluating the use of toponyms for the digitization of map collections
SHILAP Revista de lepidopterología·2021Open Access
A convolutional neural network approach to predict non‐permissive environments from moderate‐resolution imagery
Transactions in GIS·2020· 16 citedOpen Access
geoBoundaries: A global database of political administrative boundaries
PLoS ONE·2020· 243 citedOpen Access
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Frequent Co-authors

Seth Goodman(7), Raphael Nawrotzki(6), Lori M. Hunter(6), Ariel BenYishay(6), Nicholas M. Giner(6), Robert Gilmore Pontius(6), Heather Baier(5), Sara Hughes(5), Fernando Riosmena(5), Zhonghui Lv(5), Ethan Brewer(5), Bradley C. Parks(4), Colin Polsky(4), Graeme M. Buchanan(4), Karen C. Seto(3), Peter J. Marcotullio(3), Stéphanie Pincetl(3), Patricia Romero‐Lankao(3), Robert Marty(3), Peter Kemper(3)