Gary Sterle

751 citations
12 papers · 529 · 1 hit paper · h-index 9

Impact in

Papers in

Gary Sterle

12 papers receiving 523 citations

Hit Papers

From Hydrometeorology to River Water Quality: Can a Deep Learning Model Predict Dissolved Oxygen at the Continental Scale? 2021 · 204 citations
2040+1+3Years since publication50100150200

Peers

Gary Sterle
Comparison fields: 5 of 44
  • Water Science and Technology 342
  • Environmental Chemistry 182
  • Geochemistry and Petrology 104
  • Environmental Engineering 216
  • Nature and Landscape Conservation 73
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Benny Selle Germany
Jacob Kidmose Denmark
James Sample Norway
Hongyin Han China
David Brito Portugal
Renhua Yan China
John R. Mullaney United States
Thomas R. Doody United States
Silvia Terziotti United States
Robert T. Hensley United States
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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-authors

The 25 scholars most cited alongside Gary Sterle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gary Sterle Line = papers co-authored together Gary Sterle links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
From Hydrometeorology to River Water Quality: Can a Deep Learning Model Predict Dissolved Oxygen at the Continental Scale?
Hit paper breakdown →
2021204
2 202091
3 202184
4 202262
5 202225
6 202021
7 202414
8 202112
9 20238
10 20225
11 20212
12
Using Land Surface Temperature to Quantify Fuel Moisture in Complex Terrain
20191

About Gary Sterle

Gary Sterle is a scholar working on Water Science and Technology, Environmental Chemistry, Global and Planetary Change, Geochemistry and Petrology and Atmospheric Science, having authored 12 papers that have together received 529 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (7 papers), Soil and Water Nutrient Dynamics (6 papers), Groundwater and Isotope Geochemistry (4 papers), Cryospheric studies and observations (3 papers), Fish Ecology and Management Studies (2 papers), Marine and coastal ecosystems (2 papers), Groundwater flow and contamination studies (2 papers) and Atmospheric and Environmental Gas Dynamics (2 papers). The work is most often cited by research in Water Science and Technology (342 citations), Environmental Chemistry (182 citations), Geochemistry and Petrology (104 citations), Environmental Engineering (216 citations) and Nature and Landscape Conservation (73 citations). Gary Sterle has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include A. A. Harpold, Li Li, Wei Zhi, Wen‐Ping Tsai, Dapeng Feng, Chaopeng Shen, Julia Perdrial, Donna M. Rizzo, Hang Wen and Kristen L. Underwood. Their work appears in journals such as Hydrology and earth system sciences, Water Resources Research, Earth s Future, Environmental Science & Technology and Ecohydrology.

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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