James Bennett

4.1k total citations
92 papers, 2.0k citations indexed

About

James Bennett is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, James Bennett has authored 92 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Global and Planetary Change, 30 papers in Water Science and Technology and 16 papers in Atmospheric Science. Recurrent topics in James Bennett's work include Hydrology and Watershed Management Studies (28 papers), Climate variability and models (20 papers) and Hydrology and Drought Analysis (19 papers). James Bennett is often cited by papers focused on Hydrology and Watershed Management Studies (28 papers), Climate variability and models (20 papers) and Hydrology and Drought Analysis (19 papers). James Bennett collaborates with scholars based in Australia, United States and United Kingdom. James Bennett's co-authors include David Robertson, Quan J. Wang, Ming Li, Kyei‐Sing Kwong, Andrew Schepen, Jinichiro Nakano, Nathaniel L. Bindoff, Tongtiegang Zhao, Stefano Galelli and Sean Turner and has published in prestigious journals such as Journal of Clinical Oncology, The Science of The Total Environment and Cancer Research.

In The Last Decade

James Bennett

88 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Bennett Australia 27 1.1k 755 462 353 255 92 2.0k
Xue Feng United States 26 1.6k 1.5× 476 0.6× 621 1.3× 230 0.7× 116 0.5× 93 2.3k
Lei Gu China 26 1.2k 1.1× 573 0.8× 399 0.9× 203 0.6× 32 0.1× 100 2.0k
Hiroshi Matsuyama Japan 18 830 0.8× 314 0.4× 609 1.3× 205 0.6× 110 0.4× 144 1.6k
Yuanbo Liu China 31 2.0k 1.8× 1.1k 1.4× 795 1.7× 965 2.7× 78 0.3× 209 3.4k
Yupeng Li China 28 842 0.8× 264 0.3× 580 1.3× 212 0.6× 66 0.3× 80 1.7k
Feifei Pan United States 30 756 0.7× 402 0.5× 589 1.3× 837 2.4× 52 0.2× 97 2.3k
Xiaofan Zeng China 21 818 0.8× 535 0.7× 221 0.5× 247 0.7× 23 0.1× 38 1.4k
Zhiwei Li China 24 333 0.3× 438 0.6× 284 0.6× 100 0.3× 64 0.3× 170 2.4k
Jie He China 13 1.4k 1.3× 501 0.7× 1.1k 2.3× 449 1.3× 30 0.1× 65 2.4k
Linbo Zhang China 23 797 0.7× 285 0.4× 196 0.4× 182 0.5× 33 0.1× 122 1.7k

Countries citing papers authored by James Bennett

Since Specialization
Citations

This map shows the geographic impact of James Bennett'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 James Bennett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Bennett more than expected).

Fields of papers citing papers by James Bennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Bennett. 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 James Bennett. The network helps show where James Bennett may publish in the future.

Co-authorship network of co-authors of James Bennett

This figure shows the co-authorship network connecting the top 25 collaborators of James Bennett. A scholar is included among the top collaborators of James Bennett 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 James Bennett. James Bennett 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.
Wang, Quan J., et al.. (2025). Considering ensemble spread improves rainfall forecast post‐processing. Quarterly Journal of the Royal Meteorological Society. 151(767). 2 indexed citations
2.
Bennett, James, Erin Dougherty, Vincent Fortin, et al.. (2025). Integrating Prediction of Precipitation and Hydrology for Early Actions: The InPRHA Project within the World Weather Research Programme. Bulletin of the American Meteorological Society. 106(7). E1303–E1318.
3.
Cheung, Kevin K. W., Fei Ji, Nidhi Nishant, et al.. (2025). Comparison of BARRA and ERA5 in replicating mean and extreme precipitation over Australia. Hydrology and earth system sciences. 29(15). 3527–3543.
4.
Nakano, Jinichiro, et al.. (2023). Particle packing effect on natural hematite thermal reduction for industrial applications. Journal of Thermal Analysis and Calorimetry. 148(9). 3273–3281.
5.
Poveda, Andrés, Stéphanie Lheureux, Nicoletta Colombo, et al.. (2022). Olaparib maintenance monotherapy in platinum-sensitive relapsed ovarian cancer patients without a germline BRCA1/BRCA2 mutation: OPINION primary analysis. Gynecologic Oncology. 164(3). 498–504. 29 indexed citations
6.
Werner, Micha, et al.. (2020). The benefit of using an ensemble of seasonal streamflow forecasts in water allocation decisions. Hydrology and earth system sciences. 24(7). 3851–3870. 20 indexed citations
7.
Turchin, Peter, Nina Witoszek, Stefan Thurner, et al.. (2019). A History of Possible Futures: Multipath Forecasting of Social Breakdown, Recovery, and Resilience. 9(2). 4 indexed citations
8.
Bennett, James, et al.. (2017). Covariance Size and the Breakdown of Gaussianity in GEO Uncertainty Predictions. 3 indexed citations
9.
Turner, Sean, James Bennett, David Robertson, & Stefano Galelli. (2017). Value of seasonal streamflow forecasts in emergency response reservoir management. 3 indexed citations
10.
Bennett, James, Quan J. Wang, David Robertson, et al.. (2017). Assessment of an ensemble seasonal streamflow forecasting system for Australia. Hydrology and earth system sciences. 21(12). 6007–6030. 55 indexed citations
11.
Li, Ming, Quan J. Wang, James Bennett, & David Robertson. (2016). Error reduction and representation in stages (ERRIS) in hydrologicalmodelling for ensemble streamflow forecasting. Hydrology and earth system sciences. 20(9). 3561–3579. 56 indexed citations
12.
13.
Perraud, Jean‐Michel, et al.. (2015). SWIFT2: Advanced software for continuous ensemble short-term streamflow forecasting. 1197. 2 indexed citations
14.
Zhao, Yuchen, et al.. (2015). A Method for Improving Two-line Element Outlier Detection Based on a Consistency Check. Advanced Maui Optical and Space Surveillance Technologies Conference. 102. 1 indexed citations
15.
Wang, Quan J., et al.. (2015). A strategy to overcome adverse effects of autoregressive updating of streamflow forecasts. Hydrology and earth system sciences. 19(1). 1–15. 53 indexed citations
16.
Bennett, James, et al.. (2014). A System for Continuous Hydrological Ensemble to lead times of 9 days Forecasting (SCHEF). Journal of Hydrology. 519. 5 indexed citations
17.
Bennett, James, Quan J. Wang, Prafulla Pokhrel, & David Robertson. (2014). The challenge of forecasting high streamflows 1–3 months in advance with lagged climate indices in southeast Australia. Natural hazards and earth system sciences. 14(2). 219–233. 22 indexed citations
18.
Bennett, James, D. A. Post, Michael Grose, et al.. (2012). High-resolution projections of surface water availability for Tasmania, Australia. Hydrology and earth system sciences. 16(5). 1287–1303. 30 indexed citations
19.
Bennett, James, et al.. (2011). Performance of quantile-quantile bias-correction for use in hydroclimatological projections. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 15 indexed citations
20.
Bennett, James, et al.. (2010). Climate Futures for Tasmania: general climate impacts technical report. eCite Digital Repository (University of Tasmania). 52 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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