R. May
- Environmental Engineering top 10%
- Artificial Intelligence
- Water Science and Technology
- Global and Planetary Change
- Electrical and Electronic Engineering
- Co-authors
- Graeme C. DandyHolger R. MaierT.M.K.G. FernandoDavid MarlowJohn MashfordJohn B. NixonKylie Hyde
- Topics
- Water Systems and Optimization (4 papers)Neural Networks and Applications (3 papers)Hydrological Forecasting Using AI (2 papers)
- Journals
- Neural NetworksJournal of Computing in Civil EngineeringRöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren
- Partner nations
- Australia
In The Last Decade
R. May
9 papers receiving 232 citations
Peers
Comparison fields: 5 of 99
- Environmental Engineering 80
- Artificial Intelligence 63
- Water Science and Technology 54
- Global and Planetary Change 39
- Electrical and Electronic Engineering 28
Countries citing papers authored by R. May
This map shows the geographic impact of R. 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 R. May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. May more than expected).
Fields of papers citing papers by R. May
This network shows the impact of papers produced by R. 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 R. May. The network helps show where R. May may publish in the future.
Co-authorship network of co-authors of R. May
This figure shows the co-authorship network connecting the top 25 collaborators of R. May. A scholar is included among the top collaborators of R. May 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 R. May. R. May is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Exploring the impact of data splitting methods on artificial neural network models | 5 |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 3 | |
| 5 | 199 | |
| 6 | 5 | |
| 7 | Efficient selection of inputs for artificial neural network models | 19 |
| 8 | 2 | |
| 9 | 1 |
About R. May
R. May is a scholar working on Anatomy, Environmental Engineering and Civil and Structural Engineering, having authored 9 papers that have together received 245 indexed citations. Recurring topics across this work include Water Systems and Optimization (4 papers), Neural Networks and Applications (3 papers) and Hydrological Forecasting Using AI (2 papers). The work is most often cited by research in Environmental Engineering (80 citations), Water Science and Technology (54 citations) and Artificial Intelligence (63 citations). R. May has collaborated with scholars based in Australia. Frequent co-authors include Graeme C. Dandy, Holger R. Maier, T.M.K.G. Fernando, David Marlow, John Mashford, John B. Nixon and Kylie Hyde. Their work appears in journals such as Neural Networks, Journal of Computing in Civil Engineering and RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren.
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.