Robert J. May
Impact in
- Environmental Engineering top 2%
- Hydrological Forecasting Using AI
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies
- Water Quality Monitoring Technologies
Papers in
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- Hydrological Forecasting Using AI 7
-
- Hydrology and Watershed Management Studies 2
- Co-authors
- Holger Robert Maier (6 shared papers)Graeme C. Dandy (5 shared papers)T.M.K.G. Fernando (1 shared paper)John Bruce Nixon (1 shared paper)Wenyan Wu (2 shared papers)John Mashford (1 shared paper)David R. Marlow (1 shared paper)Hoshin V. Gupta (1 shared paper)
- Journals
- Environmental Modelling & Software (2 papers)Journal of Aircraft (2 papers)Educational and Psychological Measurement (1 paper)Journal of Hydrology (1 paper)Water Resources Research (1 paper)
- Partner nations
- AustraliaUnited StatesSouth Africa
In The Last Decade
Robert J. May
12 papers receiving 884 citations
Peers
Comparison fields: 5 of 115
- Environmental Engineering 442
- Water Science and Technology 314
- Global and Planetary Change 200
- Civil and Structural Engineering 137
- Artificial Intelligence 162
Countries citing papers authored by Robert J. May
This map shows the geographic impact of Robert J. May'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 Robert J. May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert J. May more than expected).
Fields of papers citing papers by Robert J. May
This network shows the impact of papers produced by Robert J. May. 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 Robert J. May. The network helps show where Robert J. May may publish in the future.
Co-authors
The 13 scholars most cited alongside Robert J. May, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 314 | |
| 2 | 2008 | 256 | |
| 3 | 2008 | 151 | |
| 4 | 2013 | 73 | |
| 5 | 2010 | 71 | |
| 6 | A method for comparing data splitting approaches for developing hydrological ANN models | 2012 | 19 |
| 7 | 2022 | 16 | |
| 8 | 1983 | 3 | |
| 9 | 1971 | 2 | |
| 10 | 2005 | 2 | |
| 11 | 1978 | 1 | |
| 12 | 1983 | 1 |
About Robert J. May
Robert J. May is a scholar working on Environmental Engineering, Water Science and Technology, Artificial Intelligence, Global and Planetary Change and Civil and Structural Engineering, having authored 12 papers that have together received 909 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (7 papers), Neural Networks and Applications (3 papers), Water Systems and Optimization (2 papers), Rocket and propulsion systems research (2 papers), Energy Load and Power Forecasting (2 papers), Hydrology and Watershed Management Studies (2 papers), Advanced Measurement and Detection Methods (2 papers) and Neural and Behavioral Psychology Studies (1 paper). The work is most often cited by research in Environmental Engineering (442 citations), Water Science and Technology (314 citations), Global and Planetary Change (200 citations), Civil and Structural Engineering (137 citations) and Artificial Intelligence (162 citations). Robert J. May has collaborated with scholars based in Australia, United States and South Africa. Frequent co-authors include Holger Robert Maier, Graeme C. Dandy, T.M.K.G. Fernando, John Bruce Nixon, Wenyan Wu, John Mashford, David R. Marlow, Hoshin V. Gupta, Junyi Chen and Feifei Zheng. Their work appears in journals such as Environmental Modelling & Software, Journal of Aircraft, Educational and Psychological Measurement, Journal of Hydrology and Water Resources Research.
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.