David Swayne
About
In The Last Decade
David Swayne
39 papers receiving 399 citations
Peers
Comparison fields: 5 of 94
- Water Science and Technology 125
- Global and Planetary Change 106
- Environmental Engineering 86
- Ocean Engineering 58
- Artificial Intelligence 54
Countries citing papers authored by David Swayne
This map shows the geographic impact of David Swayne'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 David Swayne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Swayne more than expected).
Fields of papers citing papers by David Swayne
This network shows the impact of papers produced by David Swayne. 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 David Swayne. The network helps show where David Swayne may publish in the future.
Co-authorship network of co-authors of David Swayne
This figure shows the co-authorship network connecting the top 25 collaborators of David Swayne. A scholar is included among the top collaborators of David Swayne 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 David Swayne. David Swayne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 80 | |
| 2 | A Novel Model Calibration Technique Through Application of Machine Learning Association Rules | 1 |
| 3 | Innovative Autocalibration Techniques Using High Performance Computing | 1 |
| 4 | The Land and Water Integration Decision Support System | 3 |
| 5 | 15 | |
| 6 | A 3D Hydrodynamic Lake Model: Simulation on Great Slave Lake | 2 |
| 7 | Auto-Calibration of Hydrological Models Using High Performance Computing | 6 |
| 8 | 16 | |
| 9 | 18 | |
| 10 | Possible Courses: Multi-Objective Modelling and Decision Support Using a Bayesian Network Approximation to a Nonpoint Source Pollution Model | 1 |
| 11 | 3 | |
| 12 | 36 | |
| 13 | 13 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 7 | |
| 17 | 1 | |
| 18 | 5 | |
| 19 | 9 | |
| 20 | 5 |
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.