David Robertson

7.5k total citations · 1 hit paper
134 papers, 4.1k citations indexed

About

David Robertson is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, David Robertson has authored 134 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Global and Planetary Change, 71 papers in Water Science and Technology and 26 papers in Environmental Engineering. Recurrent topics in David Robertson's work include Hydrology and Watershed Management Studies (70 papers), Hydrology and Drought Analysis (50 papers) and Flood Risk Assessment and Management (34 papers). David Robertson is often cited by papers focused on Hydrology and Watershed Management Studies (70 papers), Hydrology and Drought Analysis (50 papers) and Flood Risk Assessment and Management (34 papers). David Robertson collaborates with scholars based in Australia, United Kingdom and United States. David Robertson's co-authors include Quan J. Wang, Andrew Schepen, James Bennett, Derek J Hearl, Ian Budge, Durga Lal Shrestha, Francis H. S. Chiew, Prafulla Pokhrel, Thomas C. Pagano and Dongryeol Ryu and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and Journal of Climate.

In The Last Decade

David Robertson

127 papers receiving 3.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ideology, Strategy and Party Change

1987 450 citations David Robertson et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Robertson Australia	36	2.5k	1.9k	1.3k	1.1k	411	134	4.1k
Casey Brown United States	43	3.3k 1.3×	3.3k 1.7×	658 0.5×	653 0.6×	97 0.2×	130	5.9k
Marjolijn Haasnoot Netherlands	35	3.1k 1.2×	1.1k 0.6×	659 0.5×	364 0.3×	94 0.2×	96	5.6k
Subhankar Karmakar India	38	2.5k 1.0×	1.2k 0.6×	1.2k 0.9×	818 0.8×	20 0.0×	123	4.2k
Rodrigo Rojas Australia	24	1.7k 0.7×	1.2k 0.6×	899 0.7×	673 0.6×	33 0.1×	44	3.2k
Kamal Ahmed Malaysia	37	3.1k 1.2×	998 0.5×	1.5k 1.2×	856 0.8×	19 0.0×	70	4.3k
Ali Mirchi United States	29	1.4k 0.5×	1.7k 0.9×	209 0.2×	733 0.7×	65 0.2×	95	3.7k
Hugo A. Loáiciga United States	40	1.7k 0.7×	2.9k 1.5×	461 0.4×	1.6k 1.5×	40 0.1×	283	6.2k
Celso Augusto Guimarães Santos Brazil	36	2.5k 1.0×	1.5k 0.8×	863 0.7×	1.4k 1.4×	16 0.0×	244	4.6k
Xiaohong Chen China	58	7.4k 2.9×	4.9k 2.6×	2.3k 1.8×	2.0k 1.9×	24 0.1×	354	11.6k
Diego Rybski Germany	31	2.0k 0.8×	205 0.1×	669 0.5×	1.4k 1.3×	78 0.2×	70	4.9k

Countries citing papers authored by David Robertson

Since Specialization

Citations

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

Fields of papers citing papers by David Robertson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Robertson

This figure shows the co-authorship network connecting the top 25 collaborators of David Robertson. A scholar is included among the top collaborators of David Robertson 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 David Robertson. David Robertson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

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

Schepen, Andrew, Justin Sexton, Bronson Philippa, et al.. (2024). Downscaled numerical weather predictions can improve forecasts of sugarcane irrigation indices. Computers and Electronics in Agriculture. 221. 109009–109009. 3 indexed citations

Chiew, Francis H. S., Hongxing Zheng, Nicholas J. Potter, et al.. (2022). Different Hydroclimate Modelling Approaches Can Lead to a Large Range of Streamflow Projections under Climate Change: Implications for Water Resources Management. Water. 14(17). 2730–2730. 16 indexed citations

Schepen, Andrew, Tongtiegang Zhao, Quan J. Wang, & David Robertson. (2018). A Bayesian modelling method for post-processing daily sub-seasonal to seasonal rainfall forecasts from global climate models and evaluation for 12 Australian catchments. Hydrology and earth system sciences. 22(2). 1615–1628. 49 indexed citations

Charles, Stephen P., Quan J. Wang, Mobin‐ud‐Din Ahmad, et al.. (2018). Seasonal streamflow forecasting in the upper Indus Basin of Pakistan: an assessment of methods. Hydrology and earth system sciences. 22(6). 3533–3549. 24 indexed citations

Schepen, Andrew, Tongtiegang Zhao, Quan J. Wang, & David Robertson. (2017). A new method for post-processing daily sub-seasonal to seasonal rainfall forecasts from GCMs and evaluation for 12 Australian catchments. 4 indexed citations

Perraud, Jean‐Michel, et al.. (2015). SWIFT2: High performance software for short-medium term ensemble streamflow forecasting research and operations. 7 indexed citations

Robertson, David, et al.. (2015). A strategy for quality controlling hourly rainfall observations and its impact on hourly streamflow simulations. 4 indexed citations

Álvarez-Garretón, Camila, Dongryeol Ryu, Andrew W. Western, et al.. (2015). Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes. Hydrology and earth system sciences. 19(4). 1659–1676. 94 indexed citations

10.

Álvarez-Garretón, Camila, et al.. (2013). Impact of observation error structure on satellite soil moisture assimilation into a rainfall-runoff model. Piantadosi, J., Anderssen, R.S. and Boland J. (eds) MODSIM2013, 20th International Congress on Modelling and Simulation. 6 indexed citations

11.

Smith, Jonathan W. N., Seyni Salack, Bradley W. Klotz, et al.. (2012). Observations of an 11 September Sahelian Squall Line and Saharan Air Layer Outbreak during NAMMA-06. International Journal of Geophysics. 2012. 1–14. 2 indexed citations

12.

Robertson, David, et al.. (2011). Using Water Balance Model Output to Represent Initial Catchment Conditions in Statistical Forecasting of Seasonal Streamflows. 1482. 1 indexed citations

13.

Plummer, Neil, Narendra Tuteja, Quan J. Wang, et al.. (2009). A seasonal water availability prediction service: opportunities and challenges. Congress on Modelling and Simulation. 14 indexed citations

14.

Robertson, David & Quan J. Wang. (2009). A Bayesian Joint Probability Approach to Seasonal Prediction of Streamflows: Predictor Selection and Skill Assessment. 1545. 4 indexed citations

15.

Robertson, David & Quan J. Wang. (2009). Selecting predictors for seasonal streamflow predictions using a Bayesian joint probability (BJP) modelling approach. Congress on Modelling and Simulation. 8 indexed citations

16.

Wang, Quan J., et al.. (2008). Scenario Planning as a Tool for Regional Water Management Irrigation Futures of the Goulburn Broken Catchment. 2203.

17.

Wang, Quan J., Francis H. S. Chiew, & David Robertson. (2008). A Joint Probability Approach for Seasonal Forecasting of Streamflows at Multiple Sites. 1574. 2 indexed citations

18.

Osman, Nardine & David Robertson. (2007). Dynamic verification of trust in distributed open systems. International Joint Conference on Artificial Intelligence. 1440–1445. 11 indexed citations

19.

Fonstad, Nils Olaya & David Robertson. (2006). Transforming a Company, Project by Project: The IT Engagement Model. MIS Quarterly Executive. 5(1). 3–56. 47 indexed citations

20.

Wogman, N.A., David Robertson, & R.W. Perkins. (1966). DEVELOPMENT AND EVALUATION OF A LARGE DETECTOR MULTIDIMENSIONAL GAMMA-RAY SPECTROMETER. Transactions of the American Nuclear Society.

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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