T. S. Hogue

6.0k total citations · 1 hit paper
158 papers, 4.5k citations indexed

About

T. S. Hogue is a scholar working on Global and Planetary Change, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, T. S. Hogue has authored 158 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Global and Planetary Change, 82 papers in Environmental Engineering and 82 papers in Water Science and Technology. Recurrent topics in T. S. Hogue's work include Hydrology and Watershed Management Studies (71 papers), Urban Stormwater Management Solutions (46 papers) and Flood Risk Assessment and Management (35 papers). T. S. Hogue is often cited by papers focused on Hydrology and Watershed Management Studies (71 papers), Urban Stormwater Management Solutions (46 papers) and Flood Risk Assessment and Management (35 papers). T. S. Hogue collaborates with scholars based in United States, Netherlands and South Africa. T. S. Hogue's co-authors include Soroosh Sorooshian, Hoshin V. Gupta, A. M. Kinoshita, Jong‐Youn Kim, Kristie J. Franz, Stéphanie Pincetl, John E. McCray, Samuel Saxe, Ashley Rust and Thorsten Wagener and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

T. S. Hogue

156 papers receiving 4.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops

2005 536 citations Hoshin V. Gupta, Lauren E. Hay et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T. S. Hogue United States	37	2.9k	2.1k	1.7k	1.1k	441	158	4.5k
Norman L. Miller United States	32	2.4k 0.8×	1.6k 0.7×	970 0.6×	1.5k 1.4×	220 0.5×	84	4.4k
Thian Yew Gan Canada	48	5.1k 1.8×	3.1k 1.5×	1.4k 0.9×	2.4k 2.2×	477 1.1×	173	7.3k
Deepak Khare India	35	2.5k 0.9×	1.5k 0.7×	1.1k 0.6×	760 0.7×	333 0.8×	118	3.9k
Minha Choi South Korea	37	2.2k 0.8×	1.4k 0.7×	2.0k 1.2×	1.5k 1.4×	179 0.4×	160	4.1k
Venkataramana Sridhar United States	37	3.6k 1.3×	2.3k 1.1×	849 0.5×	1.5k 1.3×	316 0.7×	126	4.9k
Chengguang Lai China	33	3.1k 1.1×	1.5k 0.7×	958 0.6×	1.3k 1.2×	205 0.5×	89	4.1k
Kaoru Takara Japan	31	2.0k 0.7×	1.7k 0.8×	732 0.4×	823 0.8×	231 0.5×	273	3.6k
Mou Leong Tan Malaysia	38	2.6k 0.9×	1.9k 0.9×	1.2k 0.7×	1.6k 1.5×	166 0.4×	203	4.7k
Youpeng Xu China	35	2.8k 1.0×	2.2k 1.0×	1.1k 0.7×	692 0.6×	231 0.5×	118	3.9k
Shaun Harrigan United Kingdom	26	3.3k 1.1×	1.8k 0.9×	996 0.6×	1.9k 1.7×	150 0.3×	55	4.8k

Countries citing papers authored by T. S. Hogue

Since Specialization

Citations

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

Fields of papers citing papers by T. S. Hogue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. S. Hogue

This figure shows the co-authorship network connecting the top 25 collaborators of T. S. Hogue. A scholar is included among the top collaborators of T. S. Hogue 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. S. Hogue. T. S. Hogue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hogue, T. S., et al.. (2025). Machine learning in stream and river water temperature modeling: a review and metrics for evaluation. Hydrology and earth system sciences. 29(12). 2521–2549. 2 indexed citations

Rust, Ashley, et al.. (2024). A machine learning model for estimating the temperature of small rivers using satellite-based spatial data. Remote Sensing of Environment. 311. 114271–114271. 7 indexed citations

Wolfand, Jordyn M., et al.. (2023). Impact of wastewater reuse on contaminants of emerging concern in an effluent-dominated river. Frontiers in Environmental Science. 11. 2 indexed citations

Saxe, Samuel, William Farmer, Jessica M. Driscoll, & T. S. Hogue. (2021). Implications of model selection: a comparison of publicly available, conterminous US-extent hydrologic component estimates. Hydrology and earth system sciences. 25(3). 1529–1568. 16 indexed citations

Rust, Ashley, et al.. (2020). Modelling Post-Fire Hydrologic Recovery in Snow Dominated Catchments in Colorado's San Juan Mountains. AGU Fall Meeting Abstracts. 2020. 1 indexed citations

Saxe, Samuel, William Farmer, Jessica M. Driscoll, & T. S. Hogue. (2020). Implications of Model Selection: A Comparison of Publicly Available, CONUS-Extent Hydrologic Component Estimates. 3 indexed citations

Saxe, Samuel, William Farmer, Jessica M. Driscoll, & T. S. Hogue. (2019). Implications of Model Selection: Inter-Comparison of Publicly-Available CONUS Extent Hydrologic Component Estimates. AGU Fall Meeting Abstracts. 2019. 1 indexed citations

Alamdari, Nasrin, et al.. (2019). Assessing Climate Change Impacts on Urban Stromwater Control Measures in the Los Angeles Basin. AGU Fall Meeting Abstracts. 2019. 1 indexed citations

Saxe, Samuel, T. S. Hogue, & Lauren E. Hay. (2018). Characterization and evaluation of controls on post-fire streamflow response across western US watersheds. Hydrology and earth system sciences. 22(2). 1221–1237. 66 indexed citations

10.

Hogue, T. S., et al.. (2017). Stormwater Infrastructure at Risk: Predicting the Impacts of Increased Imperviousness due to Infill Development in a Semi-arid Urban Neighborhood. AGU Fall Meeting Abstracts. 2017. 1 indexed citations

11.

Clark, Martyn, Marc F. P. Bierkens, Ximing Cai, et al.. (2017). A vision for Water Resources Research. Water Resources Research. 53(6). 4530–4532. 1 indexed citations

12.

Wolfand, Jordyn M., T. S. Hogue, & Richard G. Luthy. (2016). Predicting Fecal Indicator Bacteria Fate and Removal in Urban Stormwater at the Watershed Scale. AGU Fall Meeting Abstracts. 2016. 1 indexed citations

13.

Vahmani, Pouya & T. S. Hogue. (2014). High-resolution land surface modeling utilizing remote sensing parameters and the Noah UCM: a case study in the Los Angeles Basin. Hydrology and earth system sciences. 18(12). 4791–4806. 24 indexed citations

14.

Kinoshita, A. M., et al.. (2014). Application of MODIS snow cover products: wildfire impacts on snow and melt in the Sierra Nevada. Hydrology and earth system sciences. 18(11). 4601–4615. 27 indexed citations

15.

He, Minxue, T. S. Hogue, S. A. Margulis, & Kristie J. Franz. (2012). An integrated uncertainty and ensemble-based data assimilation approach for improved operational streamflow predictions. Hydrology and earth system sciences. 16(3). 815–831. 27 indexed citations

16.

Franz, Kristie J. & T. S. Hogue. (2011). Evaluating uncertainty estimates in hydrologic models: borrowing measures from the forecast verification community. Hydrology and earth system sciences. 15(11). 3367–3382. 56 indexed citations

17.

Hogue, T. S., et al.. (2009). Contaminant Flushing From An Urban Fringe Watershed: Insight Into Hydrologic and Soil Dynamics During the Wet Season. AGUFM. 2009. 1 indexed citations

18.

Hogue, T. S., et al.. (2008). Regional Parameter Sensitivity and Uncertainty Estimates for the NWS SACramento Soil Moisture Accounting Model (SAC-SMA). AGUFM. 2008. 1 indexed citations

19.

Meixner, T., et al.. (2005). Changes in Nutrient Concentrations After a Chaparral Wildfire. AGU Fall Meeting Abstracts. 2005. 1 indexed citations

20.

Sorooshian, Soroosh, et al.. (1999). A multi-step automatic calibration scheme (MACS) for river forecasting models utilizing the national weather service river forecast system (NWSRFS). UA Campus Repository (The University of Arizona). 3 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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