Richard Arsenault
About
In The Last Decade
Richard Arsenault
208 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Mechanical Engineering 5.1k
- Materials Chemistry 2.5k
- Ceramics and Composites 2.4k
- Water Science and Technology 2.1k
- Global and Planetary Change 2.1k
Countries citing papers authored by Richard Arsenault
This map shows the geographic impact of Richard Arsenault'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 Richard Arsenault with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Arsenault more than expected).
Fields of papers citing papers by Richard Arsenault
This network shows the impact of papers produced by Richard Arsenault. 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 Richard Arsenault. The network helps show where Richard Arsenault may publish in the future.
Co-authorship network of co-authors of Richard Arsenault
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Arsenault. A scholar is included among the top collaborators of Richard Arsenault 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 Richard Arsenault. Richard Arsenault is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | Continuous streamflow prediction in ungauged basins: long short-term memory neural networks clearly outperform traditional hydrological models breakdown → | 122 |
| 9 | 64 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 51 | |
| 14 | 6 | |
| 15 | 5 | |
| 16 | Investigating the uncertainty of potential evapotranspiration modelling in climate change impact studies on water resources in Canada, United States and Mexico | 1 |
| 17 | 11 | |
| 18 | HMETS-A simple and efficient hydrology model for teaching hydrological modelling, flow forecasting and climate change impacts | 51 |
| 19 | Stochastic optimization algorithm selection in hydrological model calibration based on fitness landscape characterization | 1 |
| 20 | NSF symposium on micromechanic modeling of industrial materials : in honor of the 65th birthday of professor T. Mori | 1 |
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.