| Essential terrestrial variable data workflows for distributed water resources modeling L Leonard, CJ Duffy Environmental modelling & software 50, 85-96, 2013 | 48 | 2013 |
| Development of a participatory Green Infrastructure design, visualization and evaluation system in a cloud supported jupyter notebook computing environment L Leonard, B Miles, B Heidari, L Lin, AM Castronova, B Minsker, J Lee, ... Environmental Modelling & Software 111, 121-133, 2019 | 32 | 2019 |
| Automating data-model workflows at a level 12 HUC scale: Watershed modeling in a distributed computing environment L Leonard, CJ Duffy Environmental modelling & software 61, 174-190, 2014 | 32 | 2014 |
| Artificial intelligence for modeling complex systems: taming the complexity of expert models to improve decision making Y Gil, D Garijo, D Khider, CA Knoblock, V Ratnakar, M Osorio, H Vargas, ... ACM Transactions on Interactive Intelligent Systems 11 (2), 1-49, 2021 | 30 | 2021 |
| Hydrological modeling and prehistoric settlement on Santa Rosa Island, California, USA CS Jazwa, CJ Duffy, L Leonard, DJ Kennett Geoarchaeology 31 (2), 101-120, 2016 | 23 | 2016 |
| Visualization workflows for level-12 HUC scales: Towards an expert system for watershed analysis in a distributed computing environment L Leonard, C Duffy Environmental modelling & software 78, 163-178, 2016 | 16 | 2016 |
| Selecting up-stream HUC-12s using depth-first graphs anywhere in the continental USA L Leonard, C Duffy 11th International Conference on Hydroinformatics HIC 2014, 2014 | 10 | 2014 |
| Graph-based visual analysis for large-scale hydrological modeling L Leonard, AM MacEachren, K Madduri Information Visualization 16 (3), 205-216, 2017 | 8 | 2017 |
| Tuning heterogeneous computing platforms for large-scale hydrology data management L Leonard, K Madduri, CJ Duffy IEEE Transactions on Parallel and Distributed Systems 27 (9), 2753-2765, 2015 | 8 | 2015 |
| Using machine learning models to predict and choose meshes reordered by graph algorithms to improve execution times for hydrological modeling L Leonard Environmental modelling & software 119, 84-98, 2019 | 5 | 2019 |
| Cyber-innovated watershed research at the shale hills critical zone observatory X Yu, C Duffy, Y Gil, L Leonard, G Bhatt, E Thomas IEEE Systems Journal 10 (3), 1239-1250, 2015 | 5 | 2015 |
| HydroTerre: Towards an expert system for scaling hydrological data and models from hill-slopes to major-river basins LN Leonard The Pennsylvania State University, 2015 | 5 | 2015 |
| Watershed reanalysis: Towards a national strategy for model-data integration C Duffy, L Leonard, G Bhatt, X Yu, L Giles 2011 IEEE Seventh International Conference on e-Science Workshops, 61-65, 2011 | 5 | 2011 |
| Data-intensive hydrologic modeling: A Cloud strategy for integrating PIHM, GIS, and Web-Services LN Leonard, C Duffy, G Bhatt AGU Fall Meeting Abstracts 2010, H53H-08, 2010 | 4 | 2010 |
| Visualization of an F3 tornado within a simulated supercell thunderstorm R Patterson, D Cox ACM SIGGRAPH 2005 Electronic Art and Animation Catalog, 248-249, 2005 | 4 | 2005 |
| Multilevel mesh workflows towards CONUS scale watersheds: How small should triangles be to capture stream curvature for hydrological modeling? L Leonard Environmental modelling & software 122, 104104, 2019 | 2 | 2019 |
| Crowd Sourcing to Improve Urban Stormwater Management BS Minsker, LE Band, B Heidari Haratmeh, NL Law, LN Leonard, A Rai AGU Fall Meeting Abstracts 2017, PA31C-07, 2017 | 1 | 2017 |
| Automating Data-model Workflows at a level-12 HUC scale in a Distributed Computing Environment L Leonard, CJ Duffy | 1 | 2014 |
| Web applications that share level-12 HUC data and models of the CONUS L Leonard, CJ Duffy | 1 | 2014 |
| Designing a Virtual Reality Nyungar Dreamtime Landscape Narrative L LEONARD Fourth International Seminar of New Technologies of the International Master …, 2003 | 1 | 2003 |
