David Swayne
Impact in
- Water Science and Technology top 10%
- Hydrology and Watershed Management Studies
- Computer Science Applications top 10%
- Teaching and Learning Programming
Papers in
-
- Hydrology and Watershed Management Studies 17
-
- Hydrological Forecasting Using AI 10
- Groundwater flow and contamination studies 5
- Co-authors
- David Lam (21 shared papers)Shilpy Sharma (1 shared paper)Charlie Obimbo (1 shared paper)Sarah Dorner (3 shared papers)Qusay H. Mahmoud (4 shared papers)William M. Schertzer (5 shared papers)Luis F. De León (2 shared papers)John D. Storey (6 shared papers)
- Journals
- Environmental Modelling & Software (6 papers)Environmental Monitoring and Assessment (2 papers)Computer (2 papers)Ecological Modelling (2 papers)Computers & Graphics (1 paper)
- Partner nations
- CanadaUnited StatesNew Zealand
In The Last Decade
David Swayne
50 papers receiving 477 citations
Peers
Comparison fields: 5 of 94
- Water Science and Technology 151
- Computer Science Applications 44
- Environmental Engineering 102
- Global and Planetary Change 124
- Ocean Engineering 67
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-authors
The 25 scholars most cited alongside David Swayne, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 83 | |
| 2 | 2005 | 74 | |
| 3 | 2003 | 37 | |
| 4 | 2004 | 28 | |
| 5 | 1994 | 27 | |
| 6 | 2005 | 19 | |
| 7 | 2005 | 18 | |
| 8 | 1987 | 18 | |
| 9 | 2004 | 17 | |
| 10 | 2006 | 16 | |
| 11 | 1989 | 14 | |
| 12 | 1988 | 14 | |
| 13 | 2001 | 14 | |
| 14 | 1997 | 11 | |
| 15 | 2000 | 10 | |
| 16 | 1986 | 10 | |
| 17 | 2001 | 9 | |
| 18 | 1991 | 9 | |
| 19 | 2011 | 8 | |
| 20 | 1992 | 7 |
About David Swayne
David Swayne is a scholar working on Water Science and Technology, Environmental Engineering, Information Systems, Ocean Engineering and Global and Planetary Change, having authored 52 papers that have together received 534 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (17 papers), Hydrological Forecasting Using AI (10 papers), Soil and Water Nutrient Dynamics (5 papers), Groundwater flow and contamination studies (5 papers), Water resources management and optimization (4 papers), Oceanographic and Atmospheric Processes (3 papers), Teaching and Learning Programming (3 papers) and Bayesian Modeling and Causal Inference (3 papers). The work is most often cited by research in Water Science and Technology (151 citations), Computer Science Applications (44 citations), Environmental Engineering (102 citations), Global and Planetary Change (124 citations) and Ocean Engineering (67 citations). David Swayne has collaborated with scholars based in Canada, United States and New Zealand. Frequent co-authors include David Lam, Shilpy Sharma, Charlie Obimbo, Sarah Dorner, Qusay H. Mahmoud, William M. Schertzer, Luis F. De León, John D. Storey, C. I. Mayfield and Karen Hopkins. Their work appears in journals such as Environmental Modelling & Software, Environmental Monitoring and Assessment, Computer, Ecological Modelling and Computers & Graphics.
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.