Peter Fitch

930 total citations
26 papers, 615 citations indexed

About

Peter Fitch is a scholar working on Environmental Engineering, Water Science and Technology and Information Systems and Management. According to data from OpenAlex, Peter Fitch has authored 26 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Environmental Engineering, 9 papers in Water Science and Technology and 6 papers in Information Systems and Management. Recurrent topics in Peter Fitch's work include Hydrological Forecasting Using AI (6 papers), Scientific Computing and Data Management (6 papers) and Water Quality Monitoring Technologies (5 papers). Peter Fitch is often cited by papers focused on Hydrological Forecasting Using AI (6 papers), Scientific Computing and Data Management (6 papers) and Water Quality Monitoring Technologies (5 papers). Peter Fitch collaborates with scholars based in Australia, United States and New Zealand. Peter Fitch's 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 and has published in prestigious journals such as Water Research, Marine Pollution Bulletin and IEEE Internet of Things Journal.

In The Last Decade

Peter Fitch

23 papers receiving 587 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Fitch Australia 10 221 207 178 117 114 26 615
Hamid Zare Abyaneh Iran 13 356 1.6× 351 1.7× 254 1.4× 83 0.7× 72 0.6× 44 839
Meghna Babbar‐Sebens United States 14 192 0.9× 408 2.0× 238 1.3× 40 0.3× 39 0.3× 57 750
Pradeep Goel Canada 16 226 1.0× 454 2.2× 167 0.9× 221 1.9× 47 0.4× 72 956
Xiaohua Dong China 17 209 0.9× 389 1.9× 460 2.6× 70 0.6× 38 0.3× 63 908
Mojtaba Shourian Iran 18 299 1.4× 509 2.5× 249 1.4× 64 0.5× 222 1.9× 52 888
Karamjit Bhatia India 14 372 1.7× 388 1.9× 241 1.4× 27 0.2× 59 0.5× 41 834
Jianli Ding China 18 434 2.0× 236 1.1× 263 1.5× 124 1.1× 39 0.3× 60 1.0k
Xin Tian Netherlands 17 153 0.7× 282 1.4× 298 1.7× 85 0.7× 226 2.0× 53 868
Ali El Bilali Morocco 15 498 2.3× 417 2.0× 193 1.1× 51 0.4× 98 0.9× 33 878

Countries citing papers authored by Peter Fitch

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Lerat, Julien, et al.. (2024). Deep learning for monthly rainfall–runoff modelling: a large-sample comparison with conceptual models across Australia. Hydrology and earth system sciences. 28(5). 1191–1213. 18 indexed citations
2.
Davis, Aaron M., A. J. F. Webster, Peter Fitch, et al.. (2021). The changing face of science communication, technology, extension and improved decision-making at the farm-water quality interface. Marine Pollution Bulletin. 169. 112534–112534. 9 indexed citations
3.
Fitch, Peter, et al.. (2021). A provenance model for control-flow driven scientific workflows. Data & Knowledge Engineering. 131-132. 101877–101877. 5 indexed citations
4.
Zhang, Yifan, Peter Fitch, & Peter J. Thorburn. (2020). Predicting the Trend of Dissolved Oxygen Based on the kPCA-RNN Model. Water. 12(2). 585–585. 72 indexed citations
5.
Zhang, Yifan, Peter J. Thorburn, Wei Xiang, & Peter Fitch. (2019). SSIM—A Deep Learning Approach for Recovering Missing Time Series Sensor Data. IEEE Internet of Things Journal. 6(4). 6618–6628. 115 indexed citations
6.
Zhang, Yifan, et al.. (2019). Applying Multi-Layer Artificial Neural Network and Mutual Information to the Prediction of Trends in Dissolved Oxygen. Frontiers in Environmental Science. 7. 43 indexed citations
7.
Zhang, Yifan, Peter Fitch, & Peter J. Thorburn. (2018). A Deep Learning Approach for Recovering Missing Time Series Sensor Data. 1 indexed citations
8.
Cox, Simón, et al.. (2015). Associating uncertainty with datasets using Linked Data and allowing propagation via provenance chains. EGUGA. 4392. 2 indexed citations
9.
Dijk, Albert I. J. M. van, Russell S. Crosbie, Carl C. Daamen, et al.. (2012). Design and development of the Australian Water Resources Assessment system. 7 indexed citations
10.
Lemon, David, et al.. (2012). Scoping study: eReefs work package 2 - interoperable data and information systems. CSIRO. 1 indexed citations
11.
Perraud, Jean, Peter Fitch, & Qiang Bai. (2010). Challenges and Solutions in Implementing Hydrological Models within Scientific Workflow Software. AGUFM. 2010. 1 indexed citations
12.
Kearney, Michael W., et al.. (2009). Challenges in using scientific workflow tools in the hydrology domain. 9 indexed citations
13.
McJannet, David, et al.. (2007). Measurements of transpiration in four tropical rainforest types of north Queensland, Australia. Hydrological Processes. 21(26). 3549–3564. 89 indexed citations
14.
McJannet, David, et al.. (2007). Water balance of tropical rainforest canopies in north Queensland, Australia. Hydrological Processes. 21(25). 3473–3484. 45 indexed citations
15.
Cook, F. J., et al.. (2006). Modelling trickle irrigation: Comparison of analytical and numerical models for estimation of wetting front position with time. Queensland's institutional digital repository (The University of Queensland).
16.
Cook, F. J., et al.. (2005). Modelling trickle irrigation: Comparison of analytical and numerical models for estimation of wetting front position with time. Environmental Modelling & Software. 21(9). 1353–1359. 38 indexed citations
17.
Fitch, Peter, et al.. (2005). Image Reconstruction Using The Bispectrum*. 1. 58–62.
18.
Cook, F. J., Peter J. Thorburn, Peter Fitch, & Keith L. Bristow. (2003). WetUp: a software tool to display approximate wetting patterns from drippers. Irrigation Science. 22(3-4). 129–134. 79 indexed citations
19.
Sun, Bianting, et al.. (1997). Calibration and field trial of a dissolved-oxygen membrane electrode: Long-term automatic analyser. Water Research. 31(2). 362–365. 4 indexed citations
20.
Sun, Bianting & Peter Fitch. (1997). Nitrate ion‐selective sensor based on electrochemically prepared conducting polypyrrole films. Electroanalysis. 9(6). 494–497. 35 indexed citations

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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