Ross Woods

18.5k total citations · 4 hit papers
148 papers, 10.9k citations indexed

About

Ross Woods is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Ross Woods has authored 148 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Water Science and Technology, 91 papers in Global and Planetary Change and 41 papers in Environmental Engineering. Recurrent topics in Ross Woods's work include Hydrology and Watershed Management Studies (114 papers), Flood Risk Assessment and Management (64 papers) and Hydrology and Drought Analysis (36 papers). Ross Woods is often cited by papers focused on Hydrology and Watershed Management Studies (114 papers), Flood Risk Assessment and Management (64 papers) and Hydrology and Drought Analysis (36 papers). Ross Woods collaborates with scholars based in United Kingdom, New Zealand and United States. Ross Woods's co-authors include Murugesu Sivapalan, Jim Freer, Wouter R. Berghuijs, Wouter Knoben, Martyn Clark, Thorsten Wagener, Markus Hrachowitz, Jeffrey J. McDonnell, David E. Rupp and P. A. Troch and has published in prestigious journals such as Nature, Water Resources Research and Geophysical Research Letters.

In The Last Decade

Ross Woods

144 papers receiving 10.5k citations

Hit Papers

Technical note: Inherent ... 2007 2026 2013 2019 2019 2014 2007 2011 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ross Woods 8.3k 6.6k 3.1k 3.1k 1.2k 148 10.9k
Gregory J. McCabe 5.4k 0.7× 7.4k 1.1× 2.2k 0.7× 4.4k 1.4× 1.4k 1.2× 132 12.0k
Patrick Willems 5.9k 0.7× 8.6k 1.3× 3.1k 1.0× 3.6k 1.2× 862 0.7× 474 12.3k
P. A. Troch 6.0k 0.7× 5.6k 0.8× 2.8k 0.9× 2.3k 0.8× 1.4k 1.1× 175 9.7k
Vazken Andréassian 10.2k 1.2× 8.7k 1.3× 3.6k 1.1× 2.1k 0.7× 890 0.7× 157 12.0k
Francis H. S. Chiew 9.1k 1.1× 10.1k 1.5× 3.7k 1.2× 2.8k 0.9× 1.3k 1.1× 256 13.8k
Michael L. Roderick 5.7k 0.7× 12.3k 1.9× 1.8k 0.6× 3.9k 1.3× 2.0k 1.6× 124 15.6k
Bart Nijssen 6.1k 0.7× 6.7k 1.0× 1.9k 0.6× 4.0k 1.3× 643 0.5× 144 9.9k
Enrique R. Vivoni 3.9k 0.5× 5.4k 0.8× 2.6k 0.8× 2.6k 0.8× 2.1k 1.7× 217 9.1k
Axel Bronstert 4.2k 0.5× 3.5k 0.5× 1.6k 0.5× 1.2k 0.4× 1000 0.8× 164 6.3k
Markus Weiler 6.7k 0.8× 4.9k 0.7× 3.7k 1.2× 3.0k 1.0× 1.6k 1.4× 232 11.6k

Countries citing papers authored by Ross Woods

Since Specialization
Citations

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

Fields of papers citing papers by Ross Woods

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ross Woods

This figure shows the co-authorship network connecting the top 25 collaborators of Ross Woods. A scholar is included among the top collaborators of Ross Woods 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 Ross Woods. Ross Woods 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.
Berghuijs, Wouter R., et al.. (2025). Annual memory in the terrestrial water cycle. Hydrology and earth system sciences. 29(5). 1319–1333. 3 indexed citations
2.
Rahman, Mostaquimur, Ross Woods, Francesca Pianosi, Thorsten Wagener, & Andreas Hartmann. (2025). Application of a parsimonious large-scale distributed groundwater flow model to quantify inter-catchment groundwater flow. Journal of Hydrology. 662. 133900–133900.
3.
Coxon, Gemma, Ross Woods, Miguel A. Rico‐Ramirez, et al.. (2024). Evaluation of reanalysis soil moisture products using cosmic ray neutron sensor observations across the globe. Hydrology and earth system sciences. 28(9). 1999–2022. 15 indexed citations
4.
Griffiths, James, Jing Yang, Ross Woods, et al.. (2023). Parameterization of a National Groundwater Model for New Zealand. Sustainability. 15(17). 13280–13280. 4 indexed citations
6.
Ginting, Daniel, et al.. (2022). Portraying the Performance of Indonesian’s Massive Open Online Course Facilitators. SAGE Open. 12(3). 2 indexed citations
7.
Wagener, Thorsten, Dragan Savić, David Butler, et al.. (2021). Hydroinformatics education – the Water Informatics in Science and Engineering (WISE) Centre for Doctoral Training. Hydrology and earth system sciences. 25(5). 2721–2738. 5 indexed citations
8.
Wagener, Thorsten, Tom Gleeson, Gemma Coxon, et al.. (2021). On doing hydrology with dragons: Realizing the value of perceptual models and knowledge accumulation. Wiley Interdisciplinary Reviews Water. 8(6). 38 indexed citations
9.
Gnann, Sebastian, Gemma Coxon, Ross Woods, Nicholas Howden, & Hilary McMillan. (2021). TOSSH: A Toolbox for Streamflow Signatures in Hydrology. Environmental Modelling & Software. 138. 104983–104983. 46 indexed citations
10.
Stein, Lina, Martyn Clark, Wouter Knoben, Francesca Pianosi, & Ross Woods. (2020). Process oriented insights from interpretable machine learning - what influences flood generating processes?. 2 indexed citations
11.
Coxon, Gemma, Nans Addor, John P. Bloomfield, et al.. (2020). CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain. Earth system science data. 12(4). 2459–2483. 146 indexed citations
12.
Coxon, Gemma, Jim Freer, Rosanna Lane, et al.. (2019). DECIPHeR v1: Dynamic fluxEs and ConnectIvity for Predictions of HydRology. Geoscientific model development. 12(6). 2285–2306. 62 indexed citations
13.
Fowler, Keirnan, Gemma Coxon, Jim Freer, et al.. (2018). Simulating Runoff Under Changing Climatic Conditions: A Framework for Model Improvement. Water Resources Research. 54(12). 9812–9832. 64 indexed citations
14.
Mizukami, Naoki, Martyn Clark, K. M. Sampson, et al.. (2016). mizuRoute version 1: a river network routing tool for a continental domain water resources applications. Geoscientific model development. 9(6). 2223–2238. 64 indexed citations
15.
Lewis, Elizabeth, Stephen Blenkinsop, Niall Quinn, et al.. (2016). A gridded hourly rainfall dataset for the UK applied to a national physically-based modelling system. EGUGA. 1 indexed citations
16.
Coxon, Gemma, Jim Freer, Ida Westerberg, et al.. (2014). A generalised framework for large-scale evaluation of discharge uncertainties across England and Wales. EGU General Assembly Conference Abstracts. 10157. 1 indexed citations
17.
Ibbitt, Richard P., Ross Woods, & Martyn Clark. (2009). Assimilating Streamflow Data to Update Water Table Positions in Rainfall-to-runoff Models Based on TOPMODEL Concepts. Bristol Research (University of Bristol). 48(1). 13–28. 1 indexed citations
18.
Ibbitt, Richard P., Martyn Clark, Ross Woods, et al.. (2007). Hydrological Data Assimilation with the Ensemble Kalman Filter: Use of Streamflow Observations to Update States in a Distributed Hydrological Model. AGU Fall Meeting Abstracts. 2007. 2 indexed citations
19.
Woods, Ross, Jordy Hendrikx, Roddy Henderson, & Andrew Tait. (2006). Estimating mean flow of New Zealand rivers. Bristol Research (University of Bristol). 45(2). 95–110. 45 indexed citations
20.
Grayson, Rodger B., Andrew W. Western, David Wilson, et al.. (1999). Measurement and Interpretation of Soil Moisture for Hydrological Applications. 5. 4 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026