Peter Fitch
- Environmental Engineering top 5%
- Water Science and Technology top 5%
- Global and Planetary Change top 10%
- Soil Science top 10%
- Civil and Structural Engineering top 10%
- Co-authors
- Peter J. ThorburnYifan ZhangJim WallaceDavid McJannetWei XiangF. J. CookKeith L. BristowBianting Sun
- Topics
- Hydrological Forecasting Using AI (6 papers)Scientific Computing and Data Management (6 papers)Water Quality Monitoring Technologies (5 papers)
- Partner nations
- AustraliaUnited StatesNew Zealand
In The Last Decade
Peter Fitch
23 papers receiving 587 citations
Peers
Comparison fields: 5 of 88
- Environmental Engineering 221
- Water Science and Technology 207
- Global and Planetary Change 178
- Soil Science 117
- Civil and Structural Engineering 114
Countries citing papers authored by Peter Fitch
This map shows the geographic impact of Peter Fitch'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 Peter Fitch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Fitch more than expected).
Fields of papers citing papers by Peter Fitch
This network shows the impact of papers produced by Peter Fitch. 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 Peter Fitch. The network helps show where Peter Fitch may publish in the future.
Co-authorship network of co-authors of Peter Fitch
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Fitch. A scholar is included among the top collaborators of Peter Fitch 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 Peter Fitch. Peter Fitch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 9 | |
| 3 | 5 | |
| 4 | 72 | |
| 5 | 115 | |
| 6 | 43 | |
| 7 | 1 | |
| 8 | Associating uncertainty with datasets using Linked Data and allowing propagation via provenance chains | 2 |
| 9 | Design and development of the Australian Water Resources Assessment system | 7 |
| 10 | 1 | |
| 11 | Challenges and Solutions in Implementing Hydrological Models within Scientific Workflow Software | 1 |
| 12 | Challenges in using scientific workflow tools in the hydrology domain | 9 |
| 13 | 89 | |
| 14 | 45 | |
| 15 | Modelling trickle irrigation: Comparison of analytical and numerical models for estimation of wetting front position with time | 0 |
| 16 | 38 | |
| 17 | 0 | |
| 18 | 79 | |
| 19 | 4 | |
| 20 | 35 |
About Peter Fitch
Peter Fitch is a scholar working on Information Systems and Management, Environmental Engineering and Water Science and Technology, having authored 26 papers that have together received 615 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (6 papers), Scientific Computing and Data Management (6 papers) and Water Quality Monitoring Technologies (5 papers). The work is most often cited by research in Environmental Engineering (221 citations), Water Science and Technology (207 citations) and Soil Science (117 citations). Peter Fitch has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Peter J. Thorburn, Yifan Zhang, Jim Wallace, David McJannet, Wei Xiang, F. J. Cook, Keith L. Bristow, Bianting Sun, Paul Reddell and Philip B. Charlesworth. Their work appears in journals such as Water Research, Marine Pollution Bulletin and IEEE Internet of Things Journal.
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.