Matthew S. Gibbs
- Water Science and Technology top 2%
- Environmental Engineering top 2%
- Global and Planetary Change top 5%
- Ocean Engineering top 5%
- Ecology top 10%
- Co-authors
- Holger R. MaierGraeme C. DandyGreer B. HumphreyStefano GalelliAndrea CastellettiJohn B. NixonDavid McInerneyDmitri Kavetski
- Topics
- Hydrology and Watershed Management Studies (30 papers)Flood Risk Assessment and Management (14 papers)Hydrological Forecasting Using AI (13 papers)
- Partner nations
- AustraliaNew ZealandItaly
In The Last Decade
Matthew S. Gibbs
50 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 106
- Water Science and Technology 587
- Environmental Engineering 467
- Global and Planetary Change 427
- Ocean Engineering 181
- Ecology 153
Countries citing papers authored by Matthew S. Gibbs
This map shows the geographic impact of Matthew S. Gibbs'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 Matthew S. Gibbs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew S. Gibbs more than expected).
Fields of papers citing papers by Matthew S. Gibbs
This network shows the impact of papers produced by Matthew S. Gibbs. 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 Matthew S. Gibbs. The network helps show where Matthew S. Gibbs may publish in the future.
Co-authorship network of co-authors of Matthew S. Gibbs
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew S. Gibbs. A scholar is included among the top collaborators of Matthew S. Gibbs 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 Matthew S. Gibbs. Matthew S. Gibbs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 9 | |
| 8 | 46 | |
| 9 | 34 | |
| 10 | 27 | |
| 11 | 51 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | The effect of barrage flow manipulation on sediment deposition and scouring patterns at the River Murray mouth | 1 |
| 15 | 1 | |
| 16 | 1 | |
| 17 | Trade Associations in Roman Egypt: Their "raison d'etre" | 2 |
| 18 | Evaluating Parameter Sensitivity for Surface Water Modelling of Ungauged Catchments | 1 |
| 19 | Dryland Salinity Decision Support Systems in Data-scarce Regions | 4 |
| 20 | 67 |
About Matthew S. Gibbs
Matthew S. Gibbs is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (30 papers), Flood Risk Assessment and Management (14 papers) and Hydrological Forecasting Using AI (13 papers). The work is most often cited by research in Water Science and Technology (587 citations), Environmental Engineering (467 citations) and Global and Planetary Change (427 citations). Matthew S. Gibbs has collaborated with scholars based in Australia, New Zealand and Italy. Frequent co-authors include Holger R. Maier, Graeme C. Dandy, Greer B. Humphrey, Stefano Galelli, Andrea Castelletti, John B. Nixon, David McInerney, Dmitri Kavetski, Mark Thyer and Luke M. Mosley. Their work appears in journals such as The Science of The Total Environment, Water Resources Research and Journal of Hydrology.
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.