Daniel P. Ames
- Water Science and Technology top 1%
- Hydrology and Watershed Management Studies 41
- Geology top 1%
- Environmental Monitoring and Data Management 47
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- Scientific Computing and Data Management 36
- Environmental Engineering top 1%
- Hydrological Forecasting Using AI 13
- Global and Planetary Change top 2%
- Flood Risk Assessment and Management 18
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- Geographic Information Systems Studies 21
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- Advanced Computational Techniques and Applications 14
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- Research Data Management Practices 13
- Co-authors
- Sudhanshu PandaSuranjan PanigrahiE. James NelsonDavid G. TarbotonGustavious P. WilliamsNorman L. JonesMichael W. MorrisKwok Leung
- Journals
- Environmental Modelling & Software (29 papers)JAWRA Journal of the American Water Resources Association (6 papers)Water (5 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Daniel P. Ames
127 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 137
- Water Science and Technology 1.1k
- Geology 412
- Information Systems and Management 386
- Environmental Engineering 716
- Global and Planetary Change 916
Countries citing papers authored by Daniel P. Ames
This map shows the geographic impact of Daniel P. Ames'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 Daniel P. Ames with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Ames more than expected).
Fields of papers citing papers by Daniel P. Ames
This network shows the impact of papers produced by Daniel P. Ames. 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 Daniel P. Ames. The network helps show where Daniel P. Ames may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel P. Ames, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 15 | |
| 6 | 2021 | 9 | |
| 7 | Hydroviewer: A Web Application to Localize Global Hydrologic Forecasts | 2021 | 9 |
| 8 | Open web-distributed integrated geographic modelling and simulation to enable broader participation and applications (Position paper) | 2020 | 1 |
| 9 | 2019 | 1 | |
| 10 | Global Water Sustainability Tools from Earth Observations for the Americas | 2019 | 1 |
| 11 | HydroShare: A Platform for Collaborative Data and Model Sharing in Hydrology | 2017 | 1 |
| 12 | HydroShare GIS: Visualizing Spatial Data in the Cloud | 2017 | 7 |
| 13 | Open Water Data Solutions for Accessing the National Water Model | 2017 | 9 |
| 14 | Open Hydrology Courseware Using the United States Geological Survey’s National Water Census Data Portal | 2017 | 1 |
| 15 | An Extensible, Modular Architecture Coupling HydroShare and Tethys Platform to Deploy Water Science Web Apps | 2016 | 1 |
| 16 | Advancing Collaboration through Hydrologic Data and Model Sharing | 2015 | 1 |
| 17 | Design of a High Resolution Open Access Global Snow Cover Web Map Service Using Ground and Satellite Observations | 2014 | 1 |
| 18 | A Method for Extracting Stream Channel Flow Paths from LiDAR Point Cloud Data | 2011 | 2 |
| 19 | Spatiotemporal analysis of stream network structure based on snow-on and snow-off LiDAR | 2011 | 2 |
| 20 | Effects of LiDAR Derived DEM Resolution on Hydrographic Feature Extraction | 2010 | 2 |
About Daniel P. Ames
Daniel P. Ames is a scholar working on Geology, Information Systems and Management, Geography, Planning and Development, Water Science and Technology and Environmental Engineering, having authored 141 papers that have together received 2.9k indexed citations. Recurring topics across this work include Environmental Monitoring and Data Management (47 papers), Hydrology and Watershed Management Studies (41 papers), Scientific Computing and Data Management (36 papers), Geographic Information Systems Studies (21 papers), Flood Risk Assessment and Management (18 papers), Advanced Computational Techniques and Applications (14 papers), Hydrological Forecasting Using AI (13 papers) and Research Data Management Practices (13 papers). The work is most often cited by research in Water Science and Technology (1.1k citations), Geology (412 citations), Information Systems and Management (386 citations), Environmental Engineering (716 citations) and Global and Planetary Change (916 citations). Daniel P. Ames has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Sudhanshu Panda, Suranjan Panigrahi, E. James Nelson, David G. Tarboton, Gustavious P. Williams, Norman L. Jones, Michael W. Morris, Kwok Leung, Brian Lickel and Jeffery S. Horsburgh. Their work appears in journals such as Environmental Modelling & Software, JAWRA Journal of the American Water Resources Association, Water, Remote Sensing and Journal of Hydroinformatics.
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.