Ryan Riggs
Impact in
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies
- Environmental Engineering top 10%
- Soil Moisture and Remote Sensing
- Hydrological Forecasting Using AI
Papers in
-
- Hydrology and Watershed Management Studies 11
- Water Quality and Resources Studies 1
- Environmental Science and Water Management 1
-
- Soil Moisture and Remote Sensing 2
- Co-authors
- George Henry Allen (8 shared papers)Cédric Hervé David (4 shared papers)Peirong Lin (3 shared papers)Colin Joseph Gleason (3 shared papers)Tamlin M. Pavelsky (3 shared papers)Ming Pan (2 shared papers)Jida Wang (3 shared papers)Michael Durand (2 shared papers)
- Journals
- Earth system science data (2 papers)Geophysical Research Letters (2 papers)Environmental Research Letters (2 papers)Biogeosciences (1 paper)Water Resources Research (1 paper)
- Partner nations
- United StatesFranceChina
In The Last Decade
Ryan Riggs
11 papers receiving 273 citations
Peers
Comparison fields: 5 of 33
- Water Science and Technology 170
- Environmental Engineering 64
- Global and Planetary Change 96
- Oceanography 28
- Earth-Surface Processes 12
Countries citing papers authored by Ryan Riggs
This map shows the geographic impact of Ryan Riggs'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 Ryan Riggs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Riggs more than expected).
Fields of papers citing papers by Ryan Riggs
This network shows the impact of papers produced by Ryan Riggs. 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 Ryan Riggs. The network helps show where Ryan Riggs may publish in the future.
Co-authors
The 24 scholars most cited alongside Ryan Riggs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 99 | |
| 2 | 2023 | 34 | |
| 3 | 2024 | 32 | |
| 4 | 2025 | 28 | |
| 5 | 2021 | 24 | |
| 6 | 2024 | 16 | |
| 7 | 2024 | 15 | |
| 8 | 2025 | 14 | |
| 9 | 2023 | 10 | |
| 10 | 2025 | 6 | |
| 11 | 2026 | 1 | |
| 12 | 2022 | 0 |
About Ryan Riggs
Ryan Riggs is a scholar working on Water Science and Technology, Environmental Engineering, Global and Planetary Change, Ecology and Nuclear Energy and Engineering, having authored 12 papers that have together received 279 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (11 papers), Soil Moisture and Remote Sensing (2 papers), Peatlands and Wetlands Ecology (1 paper), Water Quality and Resources Studies (1 paper), Environmental Science and Water Management (1 paper) and Flood Risk Assessment and Management (1 paper). The work is most often cited by research in Water Science and Technology (170 citations), Environmental Engineering (64 citations), Global and Planetary Change (96 citations), Oceanography (28 citations) and Earth-Surface Processes (12 citations). Ryan Riggs has collaborated with scholars based in United States, France and China. Frequent co-authors include George Henry Allen, Cédric Hervé David, Peirong Lin, Colin Joseph Gleason, Tamlin M. Pavelsky, Ming Pan, Jida Wang, Michael Durand, Huilin Gao and Xiao Yang. Their work appears in journals such as Earth system science data, Geophysical Research Letters, Environmental Research Letters, Biogeosciences and Water Resources Research.
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.