Laura E. Condon

5.2k total citations · 2 hit papers
77 papers, 2.9k citations indexed

About

Laura E. Condon is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Laura E. Condon has authored 77 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Water Science and Technology, 40 papers in Environmental Engineering and 34 papers in Global and Planetary Change. Recurrent topics in Laura E. Condon's work include Hydrology and Watershed Management Studies (65 papers), Groundwater flow and contamination studies (24 papers) and Flood Risk Assessment and Management (19 papers). Laura E. Condon is often cited by papers focused on Hydrology and Watershed Management Studies (65 papers), Groundwater flow and contamination studies (24 papers) and Flood Risk Assessment and Management (19 papers). Laura E. Condon collaborates with scholars based in United States, Netherlands and China. Laura E. Condon's co-authors include R. M. Maxwell, Stefan Kollet, A. L. Atchley, Katherine H. Markovich, Jennifer C. McIntosh, Subhrendu Gangopadhyay, Andrew H. Manning, T. Pruitt, Hoang Tran and Christa Kelleher and has published in prestigious journals such as Science, Nature Communications and Water Resources Research.

In The Last Decade

Laura E. Condon

73 papers receiving 2.8k citations

Hit Papers

Connections between groundwater flow and transpiration pa... 2016 2026 2019 2022 2016 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura E. Condon United States 26 2.0k 1.4k 1.3k 537 481 77 2.9k
Torben O. Sonnenborg Denmark 30 1.6k 0.8× 1.2k 0.8× 1.5k 1.2× 769 1.4× 401 0.8× 103 3.2k
Russell S. Crosbie Australia 28 1.9k 0.9× 1.5k 1.1× 1.4k 1.1× 899 1.7× 302 0.6× 91 3.4k
Richard G. Niswonger United States 30 2.8k 1.4× 1.1k 0.8× 2.4k 1.9× 902 1.7× 453 0.9× 69 4.0k
József Szilágyi United States 33 2.2k 1.1× 2.5k 1.8× 1.0k 0.8× 259 0.5× 796 1.7× 127 3.5k
Ajay Kumar Taloor India 33 1.0k 0.5× 959 0.7× 1.5k 1.2× 836 1.6× 629 1.3× 117 3.3k
Mauro Sulis Germany 22 1.5k 0.8× 1.1k 0.8× 930 0.7× 202 0.4× 503 1.0× 43 2.1k
Yong Tian China 26 1.1k 0.6× 776 0.6× 657 0.5× 276 0.5× 237 0.5× 81 2.0k
M. Lubczynski Netherlands 28 818 0.4× 1.0k 0.7× 795 0.6× 253 0.5× 396 0.8× 84 2.1k
Theresa Blume Germany 29 1.5k 0.8× 982 0.7× 1.0k 0.8× 200 0.4× 570 1.2× 87 2.4k
Gianluca Botter Italy 39 3.5k 1.8× 2.1k 1.5× 1.5k 1.2× 485 0.9× 611 1.3× 120 4.7k

Countries citing papers authored by Laura E. Condon

Since Specialization
Citations

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

Fields of papers citing papers by Laura E. Condon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura E. Condon. 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 Laura E. Condon. The network helps show where Laura E. Condon may publish in the future.

Co-authorship network of co-authors of Laura E. Condon

This figure shows the co-authorship network connecting the top 25 collaborators of Laura E. Condon. A scholar is included among the top collaborators of Laura E. Condon 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 Laura E. Condon. Laura E. Condon 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.
Bennett, Andrew, et al.. (2025). A Deep‐Learning Based Parameter Inversion Framework for Large‐Scale Groundwater Models. Geophysical Research Letters. 52(8). 1 indexed citations
2.
Yang, Chen, Zhongwang Wei, Xiaolang Zhang, et al.. (2025). CONCN: a high-resolution, integrated surface water–groundwater ParFlow modeling platform of continental China. Hydrology and earth system sciences. 29(9). 2201–2218.
3.
Yang, Chen, Laura E. Condon, & R. M. Maxwell. (2025). Unravelling groundwater–stream connections over the continental United States. Nature Water. 3(1). 70–79. 11 indexed citations
4.
Condon, Laura E., et al.. (2025). A scalable and modular reservoir implementation for large-scale integrated hydrologic simulations. Hydrology and earth system sciences. 29(1). 245–259. 1 indexed citations
5.
Colby, Bonnie G., et al.. (2024). Historical patterns of well drilling and groundwater depth in Arizona considering groundwater regulation and surface water access. JAWRA Journal of the American Water Resources Association. 60(6). 1193–1208. 1 indexed citations
6.
Leonarduzzi, Elena, Hoang Tran, Andrew Bennett, et al.. (2024). Simulation-based inference for parameter estimation of complex watershed simulators. Hydrology and earth system sciences. 28(20). 4685–4713. 2 indexed citations
7.
Rajagopalan, Balaji, et al.. (2024). Understanding the temporal variability and predictability of streamflow signatures in the Colorado River Basin. Journal of Hydrology. 648. 132386–132386. 3 indexed citations
8.
Maxwell, R. M., et al.. (2024). SubsetTools: A Python package to subset data to buildand run ParFlow hydrologic models. The Journal of Open Source Software. 9(99). 6752–6752. 1 indexed citations
9.
Condon, Laura E., et al.. (2024). hf_hydrodata: A Python package for accessing hydrologicsimulations and observations across the United States. The Journal of Open Source Software. 9(99). 6623–6623. 2 indexed citations
10.
Bennett, Andrew, Hoang Tran, Yueling Ma, et al.. (2024). Spatio‐Temporal Machine Learning for Regional to Continental Scale Terrestrial Hydrology. Journal of Advances in Modeling Earth Systems. 16(6). 8 indexed citations
11.
Brookfield, Andrea E., Hoori Ajami, Rosemary Carroll, et al.. (2023). Recent advances in integrated hydrologic models: Integration of new domains. Journal of Hydrology. 620. 129515–129515. 22 indexed citations
12.
Tran, Hoang, Chen Yang, Laura E. Condon, & R. M. Maxwell. (2023). The Budyko shape parameter as a descriptive index for streamflow loss. Frontiers in Water. 5. 3 indexed citations
13.
Yang, Chen, et al.. (2023). Accelerating the Lagrangian Particle Tracking in Hydrologic Modeling to Continental‐Scale. Journal of Advances in Modeling Earth Systems. 15(5). 7 indexed citations
14.
Condon, Laura E., et al.. (2023). Climate-warming-driven changes in the cryosphere and their impact on groundwater–surface-water interactions in the Heihe River basin. Hydrology and earth system sciences. 27(14). 2763–2785. 6 indexed citations
15.
Condon, Laura E., et al.. (2022). ResOpsUS, a dataset of historical reservoir operations in the contiguous United States. Scientific Data. 9(1). 34–34. 52 indexed citations
16.
Graaf, Inge de, Laura E. Condon, & R. M. Maxwell. (2020). Hyper‐Resolution Continental‐Scale 3‐D Aquifer Parameterization for Groundwater Modeling. Water Resources Research. 56(5). 21 indexed citations
17.
Condon, Laura E., Katherine H. Markovich, Christa Kelleher, et al.. (2020). Where Is the Bottom of a Watershed?. Water Resources Research. 56(3). 85 indexed citations
18.
Condon, Laura E., et al.. (2020). A Retrospective Analysis of Observed US Reservoir Operations: What Actually Happens During a Drought?. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
19.
Castronova, Anthony M., A. L. Dugger, A. Rafieeinasab, et al.. (2019). Improving Access to Continental-Scale Hydrology Models for Research and Education - A Subsetting Adventure. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
20.
Kelleher, Christa, et al.. (2018). Monitoring turbidity from above: Deploying small unoccupied aerial vehicles to image in‐stream turbidity. Hydrological Processes. 33(6). 1013–1021. 26 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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