David Swayne

39 papers receiving 399 citations

Peers

David Swayne
Comparison fields: 5 of 94
  • Water Science and Technology 125
  • Computer Science Applications 43
  • Environmental Engineering 86
  • Global and Planetary Change 106
  • Ocean Engineering 58
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Carol Song United States
Raffaele Montella Italy
Dongbo Zhou China
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Citations per year

Countries citing papers authored by David Swayne

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with David Swayne Line = papers co-authored together David Swayne links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201680
2 200566
3 200336
4 200427
5 200518
6 200417
7 199417
8 200516
9 200615
10 198715
11 200113
12 199710
13 19889
14 19899
15 20019
16 19868
17 19927
18 20047
19
Auto-Calibration of Hydrological Models Using High Performance Computing
20066
20 20126

About David Swayne

David Swayne is a scholar working on Water Science and Technology, Environmental Engineering, Ocean Engineering, Global and Planetary Change and Information Systems, having authored 40 papers that have together received 442 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (14 papers), Hydrological Forecasting Using AI (9 papers), Groundwater flow and contamination studies (5 papers), Soil and Water Nutrient Dynamics (4 papers), Oceanographic and Atmospheric Processes (3 papers), Bayesian Modeling and Causal Inference (3 papers), Teaching and Learning Programming (3 papers) and Water resources management and optimization (3 papers). The work is most often cited by research in Water Science and Technology (125 citations), Computer Science Applications (43 citations), Environmental Engineering (86 citations), Global and Planetary Change (106 citations) and Ocean Engineering (58 citations). David Swayne has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include David Lam, Charlie Obimbo, Sarah Dorner, Qusay H. Mahmoud, William M. Schertzer, Luis F. De León, John D. Storey, C. I. Mayfield, D.C.C. Lam and Murray D. MacKay. 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.

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