Jared Willard
Impact in
- Environmental Engineering top 2%
- Hydrological Forecasting Using AI
- Water Science and Technology top 2%
- Hydrology and Watershed Management Studies
- Water Quality Monitoring Technologies
Papers in
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- Hydrological Forecasting Using AI 17
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- Hydrology and Watershed Management Studies 8
- Co-authors
- Vipin Kumar (13 shared papers)Xiaowei Jia (12 shared papers)Michael S. Steinbach (9 shared papers)Shaoming Xu (4 shared papers)Jordan S. Read (9 shared papers)Jacob A. Zwart (7 shared papers)Anuj Karpatne (5 shared papers)Samantha K. Oliver (4 shared papers)
- Journals
- Geoscientific model development (2 papers)Water Resources Research (2 papers)Limnology and Oceanography Letters (1 paper)ACM Computing Surveys (1 paper)Hydrological Processes (1 paper)
- Partner nations
- United States
In The Last Decade
Jared Willard
18 papers receiving 1.6k citations
Jared Willard's Hit Papers
Peers
Comparison fields: 5 of 117
- Environmental Engineering 487
- Water Science and Technology 406
- Statistical and Nonlinear Physics 233
- Global and Planetary Change 266
- Nature and Landscape Conservation 114
Countries citing papers authored by Jared Willard
This map shows the geographic impact of Jared Willard'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 Jared Willard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jared Willard more than expected).
Fields of papers citing papers by Jared Willard
This network shows the impact of papers produced by Jared Willard. 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 Jared Willard. The network helps show where Jared Willard may publish in the future.
Co-authors
The 25 scholars most cited alongside Jared Willard, 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 | Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems Hit paper breakdown → | 2022 | 444 |
| 2 | Process‐Guided Deep Learning Predictions of Lake Water Temperature Hit paper breakdown → | 2019 | 302 |
| 3 | Integrating Physics-Based Modeling with Machine Learning: A Survey | 2020 | 207 |
| 4 | Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles Hit paper breakdown → | 2021 | 194 |
| 5 | 2019 | 170 | |
| 6 | 2021 | 74 | |
| 7 | 2021 | 68 | |
| 8 | 2022 | 64 | |
| 9 | 2022 | 28 | |
| 10 | 2022 | 23 | |
| 11 | 2025 | 11 | |
| 12 | 2022 | 7 | |
| 13 | 2025 | 5 | |
| 14 | 2025 | 5 | |
| 15 | 2025 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2020 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2022 | 0 | |
| 20 | 2025 | 0 |
About Jared Willard
Jared Willard is a scholar working on Environmental Engineering, Water Science and Technology, Global and Planetary Change, Nature and Landscape Conservation and Statistical and Nonlinear Physics, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (17 papers), Hydrology and Watershed Management Studies (8 papers), Fish Ecology and Management Studies (4 papers), Model Reduction and Neural Networks (4 papers), Meteorological Phenomena and Simulations (4 papers), Flood Risk Assessment and Management (3 papers), Climate variability and models (3 papers) and Gaussian Processes and Bayesian Inference (2 papers). The work is most often cited by research in Environmental Engineering (487 citations), Water Science and Technology (406 citations), Statistical and Nonlinear Physics (233 citations), Global and Planetary Change (266 citations) and Nature and Landscape Conservation (114 citations). Jared Willard has collaborated with scholars based in United States. Frequent co-authors include Vipin Kumar, Xiaowei Jia, Michael S. Steinbach, Shaoming Xu, Jordan S. Read, Jacob A. Zwart, Anuj Karpatne, Samantha K. Oliver, Alison Appling and Gretchen J. A. Hansen. Their work appears in journals such as Geoscientific model development, Water Resources Research, Limnology and Oceanography Letters, ACM Computing Surveys and Hydrological Processes.
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.