Daniel P. Ames

4.4k total citations
141 papers, 2.9k citations indexed

About

Daniel P. Ames is a scholar working on Geology, Water Science and Technology and Information Systems and Management. According to data from OpenAlex, Daniel P. Ames has authored 141 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Geology, 46 papers in Water Science and Technology and 36 papers in Information Systems and Management. Recurrent topics in Daniel P. Ames's work include Environmental Monitoring and Data Management (47 papers), Hydrology and Watershed Management Studies (41 papers) and Scientific Computing and Data Management (36 papers). Daniel P. Ames is often cited by papers focused on Environmental Monitoring and Data Management (47 papers), Hydrology and Watershed Management Studies (41 papers) and Scientific Computing and Data Management (36 papers). Daniel P. Ames collaborates with scholars based in United States, China and United Kingdom. Daniel P. Ames's 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 and has published in prestigious journals such as Journal of Personality and Social Psychology, Academy of Management Review and Journal of Hydrology.

In The Last Decade

Daniel P. Ames

127 papers receiving 2.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel P. Ames United States 27 1.1k 916 716 468 412 141 2.9k
Min Chen China 37 585 0.5× 1.2k 1.3× 856 1.2× 264 0.6× 313 0.8× 270 4.7k
Jonathan L. Goodall United States 33 1.3k 1.2× 1.4k 1.6× 889 1.2× 271 0.6× 565 1.4× 137 3.5k
Guonian Lü China 34 330 0.3× 1.3k 1.4× 636 0.9× 199 0.4× 262 0.6× 158 4.0k
İbrahim Demir United States 38 1.7k 1.6× 1.8k 2.0× 1.3k 1.9× 180 0.4× 228 0.6× 157 4.2k
Jeffery S. Horsburgh United States 24 875 0.8× 258 0.3× 364 0.5× 116 0.2× 779 1.9× 114 2.0k
Nengcheng Chen China 44 1.1k 1.0× 3.0k 3.3× 2.0k 2.8× 670 1.4× 169 0.4× 306 6.8k
Suzanne A. Pierce United States 15 1.3k 1.1× 1.0k 1.1× 718 1.0× 239 0.5× 33 0.1× 29 3.1k
Ferdinando Villa United States 32 450 0.4× 2.5k 2.7× 312 0.4× 744 1.6× 47 0.1× 79 3.9k
Cheng‐Zhi Qin China 32 637 0.6× 1.0k 1.1× 1.3k 1.8× 794 1.7× 89 0.2× 125 3.3k
C. J. A. Macleod United Kingdom 24 795 0.7× 485 0.5× 326 0.5× 370 0.8× 59 0.1× 79 1.8k

Countries citing papers authored by Daniel P. Ames

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Daniel P. Ames

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel P. Ames. A scholar is included among the top collaborators of Daniel P. Ames 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 Daniel P. Ames. Daniel P. Ames 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
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Nelson, E. James, et al.. (2024). Historical simulation performance evaluation and monthly flow duration curve quantile-mapping (MFDC-QM) of the GEOGLOWS ECMWF streamflow hydrologic model. Environmental Modelling & Software. 183. 106235–106235. 4 indexed citations
3.
Razavi, Saman, Daniel P. Ames, & Min Chen. (2023). EnviroFutures: Envisioning the next century of environmental sciences. Environmental Modelling & Software. 171. 105880–105880. 3 indexed citations
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Peters, Heinrich, Friedrich M. Götz, Tobias Ebert, et al.. (2022). Regional personality differences predict variation in early COVID-19 infections and mobility patterns indicative of social distancing.. Journal of Personality and Social Psychology. 124(4). 848–872. 15 indexed citations
6.
Qiao, Xiaohui, Zhiyu Li, Feng‐Yuan Zhang, et al.. (2021). A container-based approach for sharing environmental models as web services. International Journal of Digital Earth. 14(8). 1067–1086. 9 indexed citations
7.
Ames, Daniel P., et al.. (2021). Hydroviewer: A Web Application to Localize Global Hydrologic Forecasts. ScholarsArchive (Brigham Young University). 7(1). 9. 9 indexed citations
8.
Voinov, Alexey, Daniel P. Ames, Albert J. Kettner, et al.. (2020). Open web-distributed integrated geographic modelling and simulation to enable broader participation and applications (Position paper). EPrints - HR Wallingford (HR Wallingford). 1 indexed citations
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Nelson, James A., et al.. (2019). Global Water Sustainability Tools from Earth Observations for the Americas. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
11.
Tarboton, David G., Jeffery S. Horsburgh, Daniel P. Ames, et al.. (2017). HydroShare: A Platform for Collaborative Data and Model Sharing in Hydrology. ScholarsArchive (Brigham Young University). 2017. 9834. 1 indexed citations
12.
Ames, Daniel P., et al.. (2017). HydroShare GIS: Visualizing Spatial Data in the Cloud. Utah State Research and Scholarship (Utah State University). 4(1). 2. 7 indexed citations
13.
Stealey, Michael, et al.. (2017). Open Water Data Solutions for Accessing the National Water Model. 4(1). 3. 9 indexed citations
14.
Nelson, Jake R., Daniel P. Ames, & D. L. Blodgett. (2017). Open Hydrology Courseware Using the United States Geological Survey’s National Water Census Data Portal. ScholarsArchive (Brigham Young University). 5(1). 1–14. 1 indexed citations
15.
Ames, Daniel P., et al.. (2016). An Extensible, Modular Architecture Coupling HydroShare and Tethys Platform to Deploy Water Science Web Apps. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
16.
Tarboton, David G., Jeffery S. Horsburgh, Daniel P. Ames, et al.. (2015). Advancing Collaboration through Hydrologic Data and Model Sharing. Digital Commons - USU (Utah State University). 2015. 1 indexed citations
17.
Ames, Daniel P., et al.. (2014). Design of a High Resolution Open Access Global Snow Cover Web Map Service Using Ground and Satellite Observations. 2014 AGU Fall Meeting. 2014. 1 indexed citations
18.
Ames, Daniel P., et al.. (2011). A Method for Extracting Stream Channel Flow Paths from LiDAR Point Cloud Data. 11(1). 2 indexed citations
19.
Ames, Daniel P., et al.. (2011). Spatiotemporal analysis of stream network structure based on snow-on and snow-off LiDAR. AGUFM. 2011. 2 indexed citations
20.
Ames, Daniel P., et al.. (2010). Effects of LiDAR Derived DEM Resolution on Hydrographic Feature Extraction. AGU Fall Meeting Abstracts. 2010. 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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