| Artificial Intelligence Approaches M Hu, Y., Li, W., Wright, D., Aydin, O., Wilson, D., Maher, O, and Raad The Geographic Information Science & Technology Body of Knowledge, 2019 | 40* | 2019 |
| A quantitative comparison of regionalization methods O Aydin, MV Janikas, RM Assunção, TH Lee International Journal of Geographical Information Science 35 (11), 2287-2315, 2021 | 30 | 2021 |
| SKATER-CON: Unsupervised regionalization via stochastic tree partitioning within a consensus framework using random spanning trees O Aydin, MV Janikas, R Assunçao, TH Lee Proceedings of the 2nd ACM SIGSPATIAL international workshop on AI for …, 2018 | 24 | 2018 |
| Quantifying structural uncertainty on fault networks using a marked point process within a Bayesian framework O Aydin, JK Caers Tectonophysics 712, 101-124, 2017 | 23 | 2017 |
| Sensitivity analysis for covid-19 epidemiological models within a geographic framework Z Wang, O Aydin Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and …, 2020 | 13 | 2020 |
| Image transforms for determining fit-for-purpose complexity of geostatistical models in flow modeling O Aydin, J Caers Computational Geosciences 17, 417-429, 2013 | 8 | 2013 |
| A five-year milestone: reflections on advances and limitations in GeoAI research Y Hu, M Goodchild, AX Zhu, M Yuan, O Aydin, B Bhaduri, S Gao, W Li, ... Annals of GIS 30 (1), 1-14, 2024 | 6 | 2024 |
| Environmental and demographic factors affecting childhood academic performance in Los Angeles County: A generalized linear elastic net regression model B Minaravesh, O Aydin Remote Sensing Applications: Society and Environment 30, 100942, 2023 | 5 | 2023 |
| Conservation planning implications of modeling seagrass habitats with sparse absence data: a balanced random forest approach O Aydin, C Osorio-Murillo, KA Butler, D Wright Journal of Coastal Conservation 26 (3), 22, 2022 | 3 | 2022 |
| Exploring structural uncertainty using a flow proxy in the depositional domain O Aydin, J Caers SPE Annual Technical Conference and Exhibition?, SPE-170884-MS, 2014 | 2 | 2014 |
| Efficient Node Localization on Sensor Internet of Things Networks Using Deep Learning and Virtual Node Simulation V Kanwar, O Aydin Electronics 13 (8), 1542, 2024 | 1 | 2024 |
| Probabilistic Regionalization via Evidence Accumulation with Random Spanning Trees as Weak Spatial Representations O Aydin, MV Janikas, RM Assunção, TH Lee Geographical Analysis 56 (2), 328-357, 2024 | 1 | 2024 |
| arcgisbinding: An R package for integrating R and ArcGIS O Aydin, D Pavlushko, S Walbridge, S Kopp, MV Janikas Environmental Modelling & Software 172, 105904, 2024 | 1 | 2024 |
| Quantifying the Impact of a Tsunami on Data-Driven Earthquake Relief Zone Planning in Los Angeles County via Multivariate Spatial Optimization Y Gu, O Aydin, J Sosa Geosciences 11 (2), 99, 2021 | 1 | 2021 |
| A workflow for building a synthetic benchmark dataset for fractured reservoirs A Roy*, Y Shin, T Mukerji, J Caers, O Aydin SEG Technical Program Expanded Abstracts 2014, 2428-2432, 2014 | 1 | 2014 |
| A Benchmark Dataset for Fractured Reservoirs A Roy, Y Shin, P Li, O Aydin, A Jung, T Mukerji, J Caers, SG Solutions Stanford University, 2012 | 1 | 2012 |
| An improved localization algorithm to replace faulty nodes for an IoT network using weighted grey wolf optimization V Kanwar, O Aydin International Journal of Communication Systems 37 (13), e5853, 2024 | | 2024 |
| Tracking and Mapping Riverine Plastic Waste Along the Mississippi: A Study Using Low-Cost Sensors and Edge-Enabled Object Detection Models V Kanwar, O Aydin WaterSciCon24, 2024 | | 2024 |
| Graph Neural Network Double Q-Learning for Road Network Resilience Planning Under Climate Change-Induced Flooding Events O Aydin AGU Fall Meeting 2023, 2023 | | 2023 |
| Sub-seasonal Atmospheric River Forecasting with a Random Forest Model Using Teleconnection Pattern Indices R Kelly, O Aydin AGU Fall Meeting 2023, 2023 | | 2023 |
Jef CaersStanford University, Professor of Geological SciencesVerified email at stanford.edu
