David Swayne
Impact in
- Geology top 10%
- Environmental Monitoring and Data Management
-
- Teaching and Learning Programming
Papers in
- Geology 19
- Environmental Monitoring and Data Management 19
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- Hydrology and Watershed Management Studies 17
- Water Quality and Resources Studies 5
- Co-authors
- Shilpy Sharma (1 shared paper)Charlie Obimbo (1 shared paper)Sarah M. Dorner (3 shared papers)Qusay H. Mahmoud (4 shared papers)William M. Schertzer (5 shared papers)Colin I. Mayfield (3 shared papers)Ralf Denzer (3 shared papers)Stuart E. Hamilton (1 shared paper)
- Journals
- Environmental Modelling & Software (6 papers)Environmental Monitoring and Assessment (2 papers)Computer (2 papers)Ecological Modelling (2 papers)Journal of the Association for Information Systems (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
David Swayne
50 papers receiving 479 citations
Peers
Comparison fields: 5 of 82
- Geology 72
- Computer Science Applications 48
- Water Science and Technology 140
- Environmental Chemistry 43
- Management Information Systems 43
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 | 87 | |
| 2 | 2005 | 73 | |
| 3 | 2003 | 37 | |
| 4 | 2004 | 28 | |
| 5 | 1994 | 27 | |
| 6 | 2005 | 19 | |
| 7 | 2005 | 18 | |
| 8 | 1987 | 17 | |
| 9 | 2004 | 17 | |
| 10 | 2006 | 16 | |
| 11 | 1988 | 14 | |
| 12 | 1989 | 14 | |
| 13 | 2001 | 14 | |
| 14 | 1997 | 11 | |
| 15 | 2000 | 11 | |
| 16 | 1986 | 10 | |
| 17 | 2001 | 9 | |
| 18 | 2011 | 9 | |
| 19 | 1991 | 8 | |
| 20 | 1992 | 7 |
About David Swayne
David Swayne is a scholar working on Geology, Water Science and Technology, Environmental Chemistry, Earth-Surface Processes and Management Information Systems, having authored 52 papers that have together received 537 indexed citations. Recurring topics across this work include Environmental Monitoring and Data Management (19 papers), Hydrology and Watershed Management Studies (17 papers), Water Quality and Resources Studies (5 papers), Decision Support System Applications (5 papers), Soil and Water Nutrient Dynamics (5 papers), Aquatic and Environmental Studies (5 papers), Advanced Computational Techniques and Applications (4 papers) and Teaching and Learning Programming (3 papers). The work is most often cited by research in Geology (72 citations), Computer Science Applications (48 citations), Water Science and Technology (140 citations), Environmental Chemistry (43 citations) and Management Information Systems (43 citations). David Swayne has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Shilpy Sharma, Charlie Obimbo, Sarah M. Dorner, Qusay H. Mahmoud, William M. Schertzer, Colin I. Mayfield, Ralf Denzer, Stuart E. Hamilton, Isaac Wong and Wayne R. Rouse. Their work appears in journals such as Environmental Modelling & Software, Environmental Monitoring and Assessment, Computer, Ecological Modelling and Journal of the Association for Information Systems.
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.