Tim Peterson

2.1k total citations
55 papers, 1.4k citations indexed

About

Tim Peterson is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Tim Peterson has authored 55 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Water Science and Technology, 29 papers in Environmental Engineering and 25 papers in Global and Planetary Change. Recurrent topics in Tim Peterson's work include Hydrology and Watershed Management Studies (42 papers), Groundwater flow and contamination studies (18 papers) and Flood Risk Assessment and Management (14 papers). Tim Peterson is often cited by papers focused on Hydrology and Watershed Management Studies (42 papers), Groundwater flow and contamination studies (18 papers) and Flood Risk Assessment and Management (14 papers). Tim Peterson collaborates with scholars based in Australia, United Kingdom and India. Tim Peterson's co-authors include Andrew W. Western, Murray Peel, Margarita Saft, Keirnan Fowler, Andrew John, Justin F. Costelloe, U. Rosenbaum, A. Weuthen, Harry Vereecken and Johan Alexander Huisman and has published in prestigious journals such as Science, Scientific Reports and Water Resources Research.

In The Last Decade

Tim Peterson

52 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Peterson Australia 19 877 678 588 199 165 55 1.4k
P. J. Restrepo United States 16 1.1k 1.2× 865 1.3× 600 1.0× 414 2.1× 115 0.7× 29 1.5k
Otto Corrêa Rotunno Filho Brazil 20 588 0.7× 763 1.1× 513 0.9× 287 1.4× 88 0.5× 64 1.5k
Martijn Westhoff Germany 14 699 0.8× 399 0.6× 660 1.1× 233 1.2× 233 1.4× 24 1.4k
V. P. Singh India 21 1.1k 1.3× 846 1.2× 447 0.8× 303 1.5× 166 1.0× 72 1.5k
R. D. Singh India 15 774 0.9× 810 1.2× 414 0.7× 227 1.1× 44 0.3× 23 1.3k
Ranjan S. Muttiah United States 15 1.2k 1.4× 686 1.0× 579 1.0× 161 0.8× 63 0.4× 32 1.6k
Mehmet Cüneyd Demirel Türkiye 17 913 1.0× 1.1k 1.6× 709 1.2× 324 1.6× 47 0.3× 62 1.6k
Mauro Sulis Germany 22 1.5k 1.7× 1.1k 1.6× 930 1.6× 503 2.5× 261 1.6× 43 2.1k
Giovanni Ravazzani Italy 24 870 1.0× 845 1.2× 350 0.6× 405 2.0× 130 0.8× 79 1.4k
Wouter Knoben Canada 16 1.4k 1.6× 1.2k 1.8× 660 1.1× 434 2.2× 83 0.5× 38 1.9k

Countries citing papers authored by Tim Peterson

Since Specialization
Citations

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

Fields of papers citing papers by Tim Peterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Peterson

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Peterson. A scholar is included among the top collaborators of Tim Peterson 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 Tim Peterson. Tim Peterson 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.
Peterson, Tim, et al.. (2025). Slow and Quick Flow Models Explain the Temporal Dynamics of Daily Salinity in Streams. Water Resources Research. 61(6). 1 indexed citations
2.
Rensch, Peter van, Margarita Saft, Murray Peel, et al.. (2023). The Role of Weather System Changes and Catchment Characteristics in the Rainfall‐Runoff Relationship Shift in Victoria, Australia. Water Resources Research. 59(6). 8 indexed citations
3.
Arora, Meenakshi, et al.. (2023). Seasonal estimation of groundwater vulnerability. Scientific Reports. 13(1). 9720–9720. 4 indexed citations
4.
Fowler, Keirnan, et al.. (2023). Partitioning of Precipitation Into Terrestrial Water Balance Components Under a Drying Climate. Water Resources Research. 59(5). 17 indexed citations
5.
Peterson, Tim, et al.. (2023). Groundwater Sensitivity to Climate Variations Across Australia. Water Resources Research. 59(11). 10 indexed citations
6.
Lintern, Anna, et al.. (2023). Shifts in stream salt loads during and after prolonged droughts. Hydrological Processes. 37(6). 1 indexed citations
7.
Peterson, Tim, et al.. (2022). Identifying Causal Interactions Between Groundwater and Streamflow Using Convergent Cross‐Mapping. Water Resources Research. 58(8). 24 indexed citations
8.
Fowler, Keirnan, et al.. (2021). Observation based gridded annual runoff estimates over Victoria, Australia. 1 indexed citations
9.
Peterson, Tim, Margarita Saft, Murray Peel, & Andrew John. (2021). Watersheds may not recover from drought. Science. 372(6543). 745–749. 184 indexed citations
10.
Fowler, Keirnan, Wouter Knoben, Murray Peel, et al.. (2020). Many Commonly Used Rainfall‐Runoff Models Lack Long, Slow Dynamics: Implications for Runoff Projections. Water Resources Research. 56(5). 77 indexed citations
11.
Khatami, Sina, Murray Peel, Tim Peterson, & Andrew W. Western. (2019). Equifinality and Flux Mapping: A New Approach to Model Evaluation and Process Representation Under Uncertainty. Water Resources Research. 55(11). 8922–8941. 83 indexed citations
12.
Khatami, Sina, Murray Peel, Tim Peterson, & Andrew W. Western. (2018). Equifinality and process-based modelling. Minerva Access (University of Melbourne). 1 indexed citations
13.
Peterson, Tim & Andrew W. Western. (2018). Statistical Interpolation of Groundwater Hydrographs. Water Resources Research. 54(7). 4663–4680. 21 indexed citations
15.
Costelloe, Justin F., et al.. (2015). Groundwater surface mapping informs sources of catchment baseflow. Hydrology and earth system sciences. 19(4). 1599–1613. 22 indexed citations
16.
Peterson, Tim, et al.. (2011). Novel indicator geostatistics for water table mapping that incorporate elevation, land use, stream network and physical constraints to provide probabilistic estimation of heads and fluxes. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 7 indexed citations
17.
Peterson, Tim, et al.. (2011). Quantifying the impact of pumping on groundwater heads using observation data and advanced time series analysis. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 5 indexed citations
18.
Siriwardena, L, et al.. (2011). A state-wide assessment of optimal groundwater hydrograph time series models. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 3 indexed citations
19.
Peterson, Tim, Andrew W. Western, & R. M. Argent. (2009). Multiple hydrological stable states and the probability of climate variability causing a threshold crossing. Congress on Modelling and Simulation. 3109–3115. 2 indexed citations
20.
Peterson, Tim, R. M. Argent, & Francis H. S. Chiew. (2005). Multiple stable states and thresholds within the Goulburn catchment. Congress on Modelling and Simulation. 2526–2532. 1 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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