Wade Roberts
Impact in
- Water Science and Technology top 10%
- Hydrology and Watershed Management Studies
- Environmental Engineering top 10%
- Hydrological Forecasting Using AI
Papers in
-
- Hydrology and Watershed Management Studies 4
-
- Flood Risk Assessment and Management 4
- Co-authors
- E. James Nelson (4 shared papers)Daniel P. Ames (5 shared papers)Gustavious P. Williams (4 shared papers)Norman L. Jones (1 shared paper)Christopher Edwards (1 shared paper)Chris Edwards (1 shared paper)Xiaohui Qiao (1 shared paper)Cédric H. David (1 shared paper)
- Journals
- Environmental Modelling & Software (2 papers)Frontiers in Environmental Science (1 paper)Value in Health (1 paper)Computer Graphics Forum (1 paper)Hydrology (1 paper)
- Partner nations
- United StatesNepalIsrael
In The Last Decade
Wade Roberts
6 papers receiving 230 citations
Peers
Comparison fields: 5 of 49
- Water Science and Technology 151
- Environmental Engineering 95
- Global and Planetary Change 133
- Geology 17
- Atmospheric Science 33
Countries citing papers authored by Wade Roberts
This map shows the geographic impact of Wade Roberts'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 Wade Roberts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wade Roberts more than expected).
Fields of papers citing papers by Wade Roberts
This network shows the impact of papers produced by Wade Roberts. 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 Wade Roberts. The network helps show where Wade Roberts may publish in the future.
Co-authors
The 14 scholars most cited alongside Wade Roberts, 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 | 2019 | 130 | |
| 2 | 2018 | 43 | |
| 3 | 2019 | 34 | |
| 4 | 2019 | 24 | |
| 5 | 1988 | 2 | |
| 6 | A Python Package for Computing Error Metrics for Observed and Predicted Time Series | 2018 | 1 |
| 7 | 2024 | 0 |
About Wade Roberts
Wade Roberts is a scholar working on Water Science and Technology, Global and Planetary Change, Environmental Engineering, Computer Networks and Communications and Signal Processing, having authored 7 papers that have together received 234 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (4 papers), Flood Risk Assessment and Management (4 papers), Hydrological Forecasting Using AI (3 papers), Cryospheric studies and observations (1 paper), Distributed and Parallel Computing Systems (1 paper), Innovation Policy and R&D (1 paper), Modular Robots and Swarm Intelligence (1 paper) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Water Science and Technology (151 citations), Environmental Engineering (95 citations), Global and Planetary Change (133 citations), Geology (17 citations) and Atmospheric Science (33 citations). Wade Roberts has collaborated with scholars based in United States, Nepal and Israel. Frequent co-authors include E. James Nelson, Daniel P. Ames, Gustavious P. Williams, Norman L. Jones, Christopher Edwards, Chris Edwards, Xiaohui Qiao, Cédric H. David, Mir A. Matin and Zhiyu Li. Their work appears in journals such as Environmental Modelling & Software, Frontiers in Environmental Science, Value in Health, Computer Graphics Forum and Hydrology.
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.