Ben Livneh

11.0k total citations · 7 hit papers
116 papers, 7.5k citations indexed

About

Ben Livneh is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Ben Livneh has authored 116 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Global and Planetary Change, 73 papers in Water Science and Technology and 57 papers in Atmospheric Science. Recurrent topics in Ben Livneh's work include Hydrology and Watershed Management Studies (70 papers), Cryospheric studies and observations (40 papers) and Climate variability and models (40 papers). Ben Livneh is often cited by papers focused on Hydrology and Watershed Management Studies (70 papers), Cryospheric studies and observations (40 papers) and Climate variability and models (40 papers). Ben Livneh collaborates with scholars based in United States, China and France. Ben Livneh's co-authors include Dennis P. Lettenmaier, Andrew M. Badger, N. P. Molotch, Bart Nijssen, Youlong Xia, Michael Ek, Kenneth E. Mitchell, Justin Sheffield, Lifeng Luo and Helin Wei and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Ben Livneh

109 papers receiving 7.3k citations

Hit Papers

Continental‐scale water a... 2011 2026 2016 2021 2011 2020 2013 2011 2015 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ben Livneh United States 38 4.7k 3.6k 3.3k 1.3k 515 116 7.5k
Brecht Martens Belgium 21 4.5k 1.0× 3.0k 0.8× 2.2k 0.7× 1.7k 1.3× 668 1.3× 36 6.6k
Lifeng Luo United States 35 4.1k 0.9× 2.7k 0.8× 2.5k 0.8× 1.5k 1.1× 448 0.9× 94 6.1k
Gonzalo Miguez‐Macho Spain 35 3.6k 0.8× 2.1k 0.6× 1.9k 0.6× 1.2k 0.9× 577 1.1× 87 5.5k
Niko Wanders Netherlands 44 4.7k 1.0× 1.9k 0.5× 3.9k 1.2× 1.6k 1.2× 508 1.0× 120 7.7k
Emanuel Dutra United Kingdom 43 5.5k 1.2× 4.0k 1.1× 2.2k 0.7× 1.7k 1.2× 628 1.2× 100 7.7k
Agnès Ducharne France 33 3.2k 0.7× 2.0k 0.5× 2.0k 0.6× 1.3k 1.0× 678 1.3× 86 5.1k
Boris Orlowsky Switzerland 16 4.7k 1.0× 3.5k 1.0× 1.4k 0.4× 2.3k 1.7× 368 0.7× 26 6.7k
Martin Hirschi Switzerland 29 5.9k 1.2× 4.3k 1.2× 1.9k 0.6× 2.9k 2.1× 458 0.9× 55 8.4k
Jun Qin China 47 5.0k 1.0× 5.4k 1.5× 1.5k 0.4× 2.6k 1.9× 872 1.7× 121 9.2k
Martin Best United Kingdom 25 4.6k 1.0× 2.8k 0.8× 1.7k 0.5× 2.0k 1.5× 436 0.8× 50 6.6k

Countries citing papers authored by Ben Livneh

Since Specialization
Citations

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

Fields of papers citing papers by Ben Livneh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Livneh

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Livneh. A scholar is included among the top collaborators of Ben Livneh 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 Ben Livneh. Ben Livneh 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.
Livneh, Ben, Fernando L. Rosario‐Ortiz, Fangfang Yao, et al.. (2025). Wildfires drive multi-year water quality degradation over the western United States. Communications Earth & Environment. 6(1). 1 indexed citations
2.
Bhaskar, Aditi S., et al.. (2024). Understanding Spatiotemporal Patterns and Drivers of Urban Flooding Using Municipal Reports. Hydrological Processes. 38(12).
3.
Abolafia‐Rosenzweig, Ronnie, Cenlin He, Fei Chen, et al.. (2024). Evaluating Noah‐MP Simulated Runoff and Snowpack in Heavily Burned Pacific‐Northwest Snow‐Dominated Catchments. Journal of Geophysical Research Atmospheres. 129(9). 3 indexed citations
4.
Musselman, K. N., et al.. (2023). Effects of Snow Water Storage on Hydrologic Partitioning Across the Mountainous, Western United States. Water Resources Research. 59(8). 9 indexed citations
5.
Livneh, Ben, et al.. (2023). A 21st‐Century perspective on snow drought in the Upper Colorado River Basin. JAWRA Journal of the American Water Resources Association. 59(2). 396–415. 21 indexed citations
6.
Livneh, Ben, et al.. (2023). A data-driven evaluation of post-fire landslide susceptibility. Natural hazards and earth system sciences. 23(4). 1631–1652. 14 indexed citations
7.
Jennings, Keith S., et al.. (2023). Recent decreases in snow water storage in western North America. Communications Earth & Environment. 4(1). 170–170. 50 indexed citations
9.
Badger, Andrew M., et al.. (2021). A multi‐sensor evaluation of precipitation uncertainty for landslide‐triggering storm events. Hydrological Processes. 35(7). e14260–e14260. 6 indexed citations
10.
Livneh, Ben, Sarah C. Elmendorf, N. P. Molotch, et al.. (2021). Catchment‐scale observations at the Niwot Ridge long‐term ecological research site. Hydrological Processes. 35(9). 8 indexed citations
11.
Williams, Park, Edward R. Cook, Jason E. Smerdon, et al.. (2020). Large contribution from anthropogenic warming to an emerging North American megadrought. Science. 368(6488). 314–318. 632 indexed citations breakdown →
12.
Abolafia‐Rosenzweig, Ronnie, Ben Livneh, Eric E. Small, & Sujay V. Kumar. (2019). Soil Moisture Data Assimilation to Estimate Irrigation Water Use. Journal of Advances in Modeling Earth Systems. 11(11). 3670–3690. 52 indexed citations
13.
Zhang, Qinghuan, Qiuhong Tang, John F. Knowles, & Ben Livneh. (2019). Contribution of model parameter uncertainty to future hydrological projections. 7 indexed citations
14.
Hein, Christopher J., John E. Ten Hoeve, Sathya Gopalakrishnan, et al.. (2018). Overcoming early career barriers to interdisciplinary climate change research. Wiley Interdisciplinary Reviews Climate Change. 9(5). 36 indexed citations
15.
Small, Eric E., et al.. (2018). Controls on surface soil drying rates observed by SMAP and simulated by the Noah land surface model. Hydrology and earth system sciences. 22(3). 1649–1663. 58 indexed citations
16.
Hoerling, Martin P., et al.. (2015). How Has Human-induced Climate Change Affected California Drought Risk?. AGU Fall Meeting Abstracts. 2015. 1 indexed citations
17.
Livneh, Ben, et al.. (2015). Assessing Causes of Hydrologic Climate Extremes in the Upper Missouri Basin. AGU Fall Meeting Abstracts. 2015. 2 indexed citations
18.
Livneh, Ben, Eric A. Rosenberg, Bart Nijssen, et al.. (2013). A Long-Term Hydrologically Based Dataset of Land Surface Fluxes and States for the Conterminous United States: Update and Extensions. Journal of Climate. 26(23). 9384–9392. 529 indexed citations breakdown →
19.
Bohn, T. J., М. В. Глаголев, R. Schroeder, et al.. (2012). Bracketing the range of lake and wetland methane emissions rates in West Siberia using models, in situ observations, and remote sensing. EGU General Assembly Conference Abstracts. 6622.
20.
Livneh, Ben & Dennis P. Lettenmaier. (2012). Multi-criteria parameter estimation for the Unified Land Model. Hydrology and earth system sciences. 16(8). 3029–3048. 35 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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