J. Toby Minear

2.2k total citations · 1 hit paper
39 papers, 1.3k citations indexed

About

J. Toby Minear is a scholar working on Ecology, Water Science and Technology and Soil Science. According to data from OpenAlex, J. Toby Minear has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Ecology, 18 papers in Water Science and Technology and 12 papers in Soil Science. Recurrent topics in J. Toby Minear's work include Hydrology and Sediment Transport Processes (26 papers), Hydrology and Watershed Management Studies (16 papers) and Soil erosion and sediment transport (12 papers). J. Toby Minear is often cited by papers focused on Hydrology and Sediment Transport Processes (26 papers), Hydrology and Watershed Management Studies (16 papers) and Soil erosion and sediment transport (12 papers). J. Toby Minear collaborates with scholars based in United States, France and Italy. J. Toby Minear's co-authors include G. M. Kondolf, Zan Rubin, Koren R. Nydick, Heather M. Rueth, Jill S. Baron, Timothy J. Randle, Scott A. Wright, Michael L. McHenry, Patrick B. Shafroth and George R. Pess and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Water Resources Research.

In The Last Decade

J. Toby Minear

32 papers receiving 1.2k citations

Hit Papers

Dams on the Mekong: Cumulative sediment starvation 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Toby Minear United States 15 727 512 420 417 189 39 1.3k
Jonathan A. Czuba United States 20 948 1.3× 679 1.3× 398 0.9× 526 1.3× 186 1.0× 55 1.5k
Joann Mossa United States 17 620 0.9× 407 0.8× 293 0.7× 262 0.6× 174 0.9× 62 1.2k
Shibao Dai China 17 840 1.2× 540 1.1× 370 0.9× 376 0.9× 104 0.6× 24 1.4k
Jorma Koponen Finland 16 475 0.7× 688 1.3× 655 1.6× 220 0.5× 165 0.9× 39 1.4k
Les Basher New Zealand 23 569 0.8× 267 0.5× 305 0.7× 645 1.5× 135 0.7× 60 1.3k
Juha Sarkkula Finland 17 483 0.7× 497 1.0× 511 1.2× 200 0.5× 179 0.9× 51 1.3k
Pamela S. Naden United Kingdom 17 818 1.1× 553 1.1× 250 0.6× 405 1.0× 303 1.6× 28 1.4k
Chantha Oeurng Cambodia 22 457 0.6× 1.0k 2.0× 792 1.9× 471 1.1× 117 0.6× 67 1.7k
Thomas Gumbricht Sweden 17 688 0.9× 326 0.6× 621 1.5× 191 0.5× 118 0.6× 33 1.6k
James F. Fox United States 26 778 1.1× 756 1.5× 341 0.8× 715 1.7× 268 1.4× 87 1.8k

Countries citing papers authored by J. Toby Minear

Since Specialization
Citations

This map shows the geographic impact of J. Toby Minear'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 J. Toby Minear with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Toby Minear more than expected).

Fields of papers citing papers by J. Toby Minear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Toby Minear. 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 J. Toby Minear. The network helps show where J. Toby Minear may publish in the future.

Co-authorship network of co-authors of J. Toby Minear

This figure shows the co-authorship network connecting the top 25 collaborators of J. Toby Minear. A scholar is included among the top collaborators of J. Toby Minear 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 J. Toby Minear. J. Toby Minear 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.
Wang, Yang, Y. Jade Morton, J. Toby Minear, et al.. (2025). Measuring river slope using spaceborne GNSS reflectometry: Methodology and first performance assessment. Remote Sensing of Environment. 318. 114597–114597. 5 indexed citations
3.
Sermet, Yusuf, Sayan Dey, Marian Muste, et al.. (2024). River morphology information system: A web cyberinfrastructure for advancing river morphology research. Environmental Modelling & Software. 183. 106222–106222. 2 indexed citations
5.
Merwade, Venkatesh, İbrahim Demir, Marian Muste, et al.. (2024). Towards an open and integrated cyberinfrastructure for river morphology research in the big data era. Environmental Modelling & Software. 183. 106240–106240. 2 indexed citations
6.
Yao, Fangfang, Ben Livneh, Balaji Rajagopalan, et al.. (2024). Leveraging ICESat, ICESat‐2, and Landsat for Global‐Scale, Multi‐Decadal Reconstruction of Lake Water Levels. Water Resources Research. 60(2). 8 indexed citations
7.
8.
Yao, Fangfang, J. Toby Minear, Balaji Rajagopalan, et al.. (2023). Estimating Reservoir Sedimentation Rates and Storage Capacity Losses Using High‐Resolution Sentinel‐2 Satellite and Water Level Data. Geophysical Research Letters. 50(16). 16 indexed citations
9.
Livneh, Ben, et al.. (2022). Evaluation of a new observationally based channel parameterization for the National Water Model. Hydrology and earth system sciences. 26(23). 6121–6136. 12 indexed citations
10.
Badger, Andrew M., et al.. (2021). A multi‐sensor evaluation of precipitation uncertainty for landslide‐triggering storm events. Hydrological Processes. 35(7). e14260–e14260. 6 indexed citations
11.
Garambois, Pierre‐André, Stéphane Calmant, Pascal Finaud‐Guyot, et al.. (2019). Wavelet‐Based River Segmentation Using Hydraulic Control‐Preserving Water Surface Elevation Profile Properties. Geophysical Research Letters. 46(12). 6534–6543. 14 indexed citations
12.
Wright, Scott A. & J. Toby Minear. (2019). Field-scale sediment feed flume: Upper Santa Ana River, California. 1 indexed citations
13.
Langhorst, Theodore, Tamlin M. Pavelsky, Renato Prata de Moraes Frasson, et al.. (2019). Anticipated Improvements to River Surface Elevation Profiles From the Surface Water and Ocean Topography Mission. Frontiers in Earth Science. 7. 16 indexed citations
14.
Pavelsky, Tamlin M. & J. Toby Minear. (2018). How Much Land Surface Is Under Water at Any Given Time?. Eos. 99. 1 indexed citations
15.
Thomas, Michael J., Richard R. McDonald, Alex Hearn, et al.. (2017). Fine-scale habitat selection of green sturgeon (Acipenser medirostris) within three spawning locations in the Sacramento River, California. Canadian Journal of Fisheries and Aquatic Sciences. 75(5). 779–791. 17 indexed citations
16.
Wright, Scott A., et al.. (2015). Assessing geomorphic change along the Trinity River downstream from Lewiston Dam, California, 1980-2011. Scientific investigations report. 8 indexed citations
17.
Storesund, Rune & J. Toby Minear. (2006). Evaluation of Ground-Based LiDAR for use in Fluvial Geomorphology and River Restoration. AGU Fall Meeting Abstracts. 2006. 3 indexed citations
18.
Sklar, L. S., et al.. (2006). Laboratory simulation of gravel augmentation downstream of dams: the effect of hydrographs on sediment pulse dynamics. AGUFM. 2006. 1 indexed citations
19.
Wooster, John K., Jeremy G. Venditti, J. Toby Minear, et al.. (2006). Investigations of Sediment Pulse Morphodynamics in a Flume with Fixed Bars. AGU Fall Meeting Abstracts. 2006. 2 indexed citations
20.
Baron, Jill S., et al.. (2000). Ecosystem Responses to Nitrogen Deposition in the Colorado Front Range. Ecosystems. 3(4). 352–368. 266 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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