T. Whiteaker

1.1k total citations
20 papers, 714 citations indexed

About

T. Whiteaker is a scholar working on Geology, Water Science and Technology and Artificial Intelligence. According to data from OpenAlex, T. Whiteaker has authored 20 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Geology, 8 papers in Water Science and Technology and 6 papers in Artificial Intelligence. Recurrent topics in T. Whiteaker's work include Environmental Monitoring and Data Management (8 papers), Hydrology and Watershed Management Studies (8 papers) and Advanced Computational Techniques and Applications (6 papers). T. Whiteaker is often cited by papers focused on Environmental Monitoring and Data Management (8 papers), Hydrology and Watershed Management Studies (8 papers) and Advanced Computational Techniques and Applications (6 papers). T. Whiteaker collaborates with scholars based in United States. T. Whiteaker's co-authors include William E. Galloway, Patricia Ganey-Curry, Jeffery S. Horsburgh, David R. Maidment, Jonathan L. Goodall, D. W. Valentine, Daniel P. Ames, Yang Cao, David G. Tarboton and John W. Snedden and has published in prestigious journals such as Journal of Hydrology, Environmental Modelling & Software and Computers & Geosciences.

In The Last Decade

T. Whiteaker

20 papers receiving 662 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Whiteaker United States 11 257 182 163 158 158 20 714
Dirk Hoffmeister Germany 18 162 0.6× 218 1.2× 20 0.1× 23 0.1× 97 0.6× 51 970
Helen M. Snaith United Kingdom 10 63 0.2× 247 1.4× 22 0.1× 18 0.1× 106 0.7× 24 950
Karin Allenbach Switzerland 9 33 0.1× 125 0.7× 26 0.2× 26 0.2× 51 0.3× 16 613
Timm Schoening Germany 18 37 0.1× 52 0.3× 13 0.1× 83 0.5× 43 0.3× 42 1.0k
Adam Lewis Australia 13 21 0.1× 169 0.9× 33 0.2× 219 1.4× 41 0.3× 27 1.0k
Bert Jagers Netherlands 10 20 0.1× 107 0.6× 30 0.2× 69 0.4× 373 2.4× 36 587
J. M. Adams United States 8 11 0.0× 132 0.7× 22 0.1× 114 0.7× 85 0.5× 24 383
Alexander Kmoch Estonia 12 23 0.1× 115 0.6× 15 0.1× 169 1.1× 18 0.1× 32 583
R. K. H. Falconer New Zealand 12 207 0.8× 110 0.6× 4 0.0× 15 0.1× 83 0.5× 22 670
Tom Kwasnitschka Germany 14 85 0.3× 175 1.0× 4 0.0× 20 0.1× 80 0.5× 32 633

Countries citing papers authored by T. Whiteaker

Since Specialization
Citations

This map shows the geographic impact of T. Whiteaker'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 T. Whiteaker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Whiteaker more than expected).

Fields of papers citing papers by T. Whiteaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Whiteaker. 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 T. Whiteaker. The network helps show where T. Whiteaker may publish in the future.

Co-authorship network of co-authors of T. Whiteaker

This figure shows the co-authorship network connecting the top 25 collaborators of T. Whiteaker. A scholar is included among the top collaborators of T. Whiteaker 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 T. Whiteaker. T. Whiteaker 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
1.
2.
Nietch, Christopher T., et al.. (2021). Stochastic reliability-based risk evaluation and mapping for watershed systems and sustainability (STREAMS). Journal of Hydrology. 596. 126030–126030. 1 indexed citations
3.
Snedden, John W., et al.. (2015). A basin-scale perspective on Cenomanian-Turonian (Cretaceous) depositional systems, greater Gulf of Mexico (USA). Interpretation. 4(1). SC1–SC22. 20 indexed citations
4.
Fulthorpe, Craig S., William E. Galloway, John W. Snedden, Patricia Ganey-Curry, & T. Whiteaker. (2014). New Insights into Cenozoic Depositional Systems of the Gulf of Mexico Basin. 64. 119–129. 10 indexed citations
5.
Snedden, John W., William E. Galloway, T. Whiteaker, & Patricia Ganey-Curry. (2012). Eastward Shift of Deepwater Fan Axes during the Miocene in the Gulf of Mexico: Possible Causes and Models. 12 indexed citations
6.
Ames, Daniel P., et al.. (2012). HydroDesktop: Web services-based software for hydrologic data discovery, download, visualization, and analysis. Environmental Modelling & Software. 37. 146–156. 133 indexed citations
7.
McKinney, Daene C., et al.. (2012). Raster – Network regionalization process applied to the Rio Grande/Bravo basin. 1 indexed citations
8.
Whiteaker, T., et al.. (2011). GIS-based data model and tools for creating and managing two-dimensional cross sections. Computers & Geosciences. 39. 42–49. 5 indexed citations
9.
Galloway, William E., T. Whiteaker, & Patricia Ganey-Curry. (2011). History of Cenozoic North American drainage basin evolution, sediment yield, and accumulation in the Gulf of Mexico basin. Geosphere. 7(4). 938–973. 276 indexed citations
10.
Valentine, D. W., Ilya Zaslavsky, Maciej Piasecki, et al.. (2010). Hydrologic Metadata Catalog and Semantic Search Services in CUAHSI HIS. Digital Commons - USU (Utah State University). 2 indexed citations
11.
Muste, Marian, et al.. (2010). Digital catchment inception using community project components. Proceedings of the Institution of Civil Engineers - Water Management. 163(1). 13–25. 4 indexed citations
12.
Valentine, D. W., David R. Maidment, David G. Tarboton, et al.. (2009). The evolution of the CUAHSI Water Markup Language (WaterML). EGUGA. 6824. 3 indexed citations
13.
Tarboton, David G., Jeffery S. Horsburgh, David R. Maidment, et al.. (2009). Development of a Community Hydrologic Information System. Digital Commons - USU (Utah State University). 988–994. 52 indexed citations
14.
Ames, Daniel P., Jeffery S. Horsburgh, Jonathan L. Goodall, et al.. (2009). Introducing the Open Source CUAHSI Hydrologic Information System Desktop Application (HIS Desktop). Digital Commons - USU (Utah State University). 4353–4359. 24 indexed citations
15.
Johnson, Stephanie, T. Whiteaker, & David R. Maidment. (2009). A Tool for Automated Load Duration Curve Creation1. JAWRA Journal of the American Water Resources Association. 45(3). 654–663. 11 indexed citations
16.
Maidment, David R., T. Whiteaker, Ilya Zaslavsky, et al.. (2008). CUAHSI Hydrologic Information System. Digital Commons - USU (Utah State University). 87(52). 11 indexed citations
17.
Goodall, Jonathan L., et al.. (2007). A first approach to web services for the National Water Information System. Environmental Modelling & Software. 23(4). 404–411. 96 indexed citations
18.
Whiteaker, T., et al.. (2006). Integrating Arc Hydro Features with a Schematic Network. Transactions in GIS. 10(2). 219–237. 18 indexed citations
19.
Whiteaker, T., et al.. (2006). Raster‐network regionalization for watershed data processing. International Journal of Geographical Information Systems. 21(3). 341–353. 10 indexed citations
20.
Whiteaker, T., et al.. (2005). From a NEXRAD Rainfall Map to a Flood Inundation Map. Journal of Hydrologic Engineering. 11(1). 37–45. 19 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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