Gary Sterle

751 total citations · 1 hit paper
12 papers, 529 citations indexed

About

Gary Sterle is a scholar working on Water Science and Technology, Environmental Chemistry and Global and Planetary Change. According to data from OpenAlex, Gary Sterle has authored 12 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Water Science and Technology, 6 papers in Environmental Chemistry and 5 papers in Global and Planetary Change. Recurrent topics in Gary Sterle's work include Hydrology and Watershed Management Studies (7 papers), Soil and Water Nutrient Dynamics (6 papers) and Groundwater and Isotope Geochemistry (4 papers). Gary Sterle is often cited by papers focused on Hydrology and Watershed Management Studies (7 papers), Soil and Water Nutrient Dynamics (6 papers) and Groundwater and Isotope Geochemistry (4 papers). Gary Sterle collaborates with scholars based in United States, Switzerland and Canada. Gary Sterle's co-authors include A. A. Harpold, Li Li, Wei Zhi, Chaopeng Shen, Dapeng Feng, Wen‐Ping Tsai, Julia Perdrial, Donna M. Rizzo, Kristen L. Underwood and Hang Wen and has published in prestigious journals such as Environmental Science & Technology, Water Resources Research and Global Biogeochemical Cycles.

In The Last Decade

Gary Sterle

12 papers receiving 523 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.

From Hydrometeorology to River Water Quality: Can a Deep Learning Model Predict Dissolved Oxygen at the Continental Scale?

2021 204 citations Wei Zhi, Dapeng Feng et al. Environmental Science & Technology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gary Sterle United States	9	342	216	182	104	92	12	529
Benny Selle Germany	12	420 1.2×	263 1.2×	264 1.5×	188 1.8×	137 1.5×	29	705
Jacob Kidmose Denmark	17	311 0.9×	293 1.4×	170 0.9×	221 2.1×	185 2.0×	35	649
James Sample Norway	13	284 0.8×	83 0.4×	201 1.1×	34 0.3×	140 1.5×	32	540
David Brito Portugal	15	259 0.8×	98 0.5×	172 0.9×	33 0.3×	105 1.1×	30	493
John R. Mullaney United States	7	141 0.4×	126 0.6×	91 0.5×	89 0.9×	70 0.8×	25	379
Hongyin Han China	4	271 0.8×	94 0.4×	131 0.7×	100 1.0×	58 0.6×	6	395
Renhua Yan China	13	307 0.9×	71 0.3×	166 0.9×	40 0.4×	163 1.8×	27	451
Thomas R. Doody United States	7	163 0.5×	135 0.6×	102 0.6×	41 0.4×	39 0.4×	9	374
Silvia Terziotti United States	9	274 0.8×	87 0.4×	223 1.2×	104 1.0×	76 0.8×	22	376
Robert T. Hensley United States	12	484 1.4×	139 0.6×	442 2.4×	83 0.8×	73 0.8×	34	730

Countries citing papers authored by Gary Sterle

Since Specialization

Citations

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

Fields of papers citing papers by Gary Sterle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary Sterle

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Sterle, Gary, Julia Perdrial, Dustin W. Kincaid, et al.. (2024). CAMELS-Chem: augmenting CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) with atmospheric and stream water chemistry data. Hydrology and earth system sciences. 28(3). 611–630. 14 indexed citations

2.

Underwood, Kristen L., Donna M. Rizzo, John Hanley, et al.. (2023). Machine‐Learning Reveals Equifinality in Drivers of Stream DOC Concentration at Continental Scales. Water Resources Research. 59(3). 8 indexed citations

3.

Krogh, Sebastian A., et al.. (2022). Diel streamflow cycles suggest more sensitive snowmelt-driven streamflow to climate change than land surface modeling does. Hydrology and earth system sciences. 26(13). 3393–3417. 5 indexed citations

4.

Li, Li, Wei Zhi, Kayalvizhi Sadayappan, et al.. (2022). Climate Controls on River Chemistry. Earth s Future. 10(6). 62 indexed citations

5.

Zhi, Wei, et al.. (2022). Soil CO₂ Controls Short‐Term Variation but Climate Regulates Long‐Term Mean of Riverine Inorganic Carbon. Global Biogeochemical Cycles. 36(8). 25 indexed citations

6.

Shanley, James B., James W. Kirchner, David Norris, et al.. (2021). Streams as Mirrors: Reading Subsurface Water Chemistry From Stream Chemistry. Water Resources Research. 58(1). 84 indexed citations

7.

Krogh, Sebastian A., et al.. (2021). Diel streamflow cycles suggest more sensitive snowmelt-driven streamflow to climate change than land surface modeling. 2 indexed citations

8.

Adler, Thomas, Kristen L. Underwood, Donna M. Rizzo, et al.. (2021). Drivers of Dissolved Organic Carbon Mobilization From Forested Headwater Catchments: A Multi Scaled Approach. Frontiers in Water. 3. 12 indexed citations

9.

Zhi, Wei, Dapeng Feng, Wen‐Ping Tsai, et al.. (2021). From Hydrometeorology to River Water Quality: Can a Deep Learning Model Predict Dissolved Oxygen at the Continental Scale?. Environmental Science & Technology. 55(4). 2357–2368. 204 indexed citations breakdown →

10.

Wen, Hang, Julia Perdrial, Benjamin W. Abbott, et al.. (2020). Temperature controls production but hydrology regulates export of dissolved organic carbon at the catchment scale. Hydrology and earth system sciences. 24(2). 945–966. 91 indexed citations

11.

Harpold, A. A., et al.. (2020). Increasing the efficacy of forest thinning for snow using high‐resolution modeling: A proof of concept in the Lake Tahoe Basin, California, USA. Ecohydrology. 13(4). 21 indexed citations

12.

Sterle, Gary, et al.. (2019). Using Land Surface Temperature to Quantify Fuel Moisture in Complex Terrain. AGUFM. 2019. 1 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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