Jonathan J. Rutz

4.1k total citations · 3 hit papers
30 papers, 2.1k citations indexed

About

Jonathan J. Rutz is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Jonathan J. Rutz has authored 30 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Global and Planetary Change, 24 papers in Atmospheric Science and 3 papers in Water Science and Technology. Recurrent topics in Jonathan J. Rutz's work include Climate variability and models (24 papers), Meteorological Phenomena and Simulations (20 papers) and Tropical and Extratropical Cyclones Research (8 papers). Jonathan J. Rutz is often cited by papers focused on Climate variability and models (24 papers), Meteorological Phenomena and Simulations (20 papers) and Tropical and Extratropical Cyclones Research (8 papers). Jonathan J. Rutz collaborates with scholars based in United States, United Kingdom and Portugal. Jonathan J. Rutz's co-authors include F. Martin Ralph, W. James Steenburgh, Michael D. Dettinger, Jason M. Cordeira, David A. Lavers, Christine A. Shields, Tamara Shulgina, Alexander Gershunov, David W. Reynolds and Michael Anderson and has published in prestigious journals such as Geophysical Research Letters, Monthly Weather Review and Bulletin of the American Meteorological Society.

In The Last Decade

Jonathan J. Rutz

27 papers receiving 2.1k citations

Hit Papers

Climatological Characteristics of Atmospheric Rivers and ... 2013 2026 2017 2021 2013 2018 2020 100 200 300 400

Peers

Jonathan J. Rutz
Daniel J. Leathers United States
Michael A. Brunke United States
Mimi Hughes United States
Jacob Scheff United States
Huqiang Zhang Australia
Jeffrey C. Rogers United States
I. N. Smith Australia
Jonathan J. Rutz
Citations per year, relative to Jonathan J. Rutz Jonathan J. Rutz (= 1×) peers Kenji Kamiguchi

Countries citing papers authored by Jonathan J. Rutz

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan J. Rutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan J. Rutz. 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 Jonathan J. Rutz. The network helps show where Jonathan J. Rutz may publish in the future.

Co-authorship network of co-authors of Jonathan J. Rutz

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan J. Rutz. A scholar is included among the top collaborators of Jonathan J. Rutz 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 Jonathan J. Rutz. Jonathan J. Rutz 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.
Nash, D. B., et al.. (2024). Atmospheric Rivers in Southeast Alaska: Meteorological Conditions Associated With Extreme Precipitation. Journal of Geophysical Research Atmospheres. 129(4). 4 indexed citations
2.
Gao, Yang, Shaoqing Zhang, Wenju Cai, et al.. (2024). More high-impact atmospheric river-induced extreme precipitation events under warming in a high-resolution model. One Earth. 7(12). 2223–2234. 3 indexed citations
3.
Nash, D. B., Leila M. V. Carvalho, Jonathan J. Rutz, & Charles Jones. (2023). Influence of the freezing level on atmospheric rivers in High Mountain Asia: WRF case studies of orographic precipitation extremes. Climate Dynamics. 62(1). 589–607. 5 indexed citations
4.
Collow, Allison B. Marquardt, Christine A. Shields, Bin Guan, et al.. (2022). An Overview of ARTMIP's Tier 2 Reanalysis Intercomparison: Uncertainty in the Detection of Atmospheric Rivers and Their Associated Precipitation. Journal of Geophysical Research Atmospheres. 127(8). 62 indexed citations
5.
Wilson, Anna M., Alison Cobb, F. Martin Ralph, et al.. (2021). Atmospheric River Reconnaissance Workshop Promotes Research and Operations Partnership. Bulletin of the American Meteorological Society. 103(3). E810–E816. 2 indexed citations
6.
Ralph, F. Martin, Michael D. Dettinger, Jonathan J. Rutz, & Duane E. Waliser. (2020). Atmospheric Rivers. CERN Document Server (European Organization for Nuclear Research). 33 indexed citations
7.
Lora, Juan M., Christine A. Shields, & Jonathan J. Rutz. (2020). Consensus and Disagreement in Atmospheric River Detection: ARTMIP Global Catalogues. Geophysical Research Letters. 47(20). 58 indexed citations
8.
Shields, Christine A., Nan Rosenbloom, Susan C. Bates, et al.. (2019). Meridional Heat Transport During Atmospheric Rivers in High‐Resolution CESM Climate Projections. Geophysical Research Letters. 46(24). 14702–14712. 22 indexed citations
9.
Wilson, Anna M., William E. Chapman, Ashley E. Payne, et al.. (2019). Training the Next Generation of Researchers in the Science and Application of Atmospheric Rivers. Bulletin of the American Meteorological Society. 101(6). E738–E743. 2 indexed citations
10.
Ralph, F. Martin, Anna M. Wilson, Tamara Shulgina, et al.. (2018). ARTMIP-early start comparison of atmospheric river detection tools: how many atmospheric rivers hit northern California’s Russian River watershed?. Climate Dynamics. 52(7-8). 4973–4994. 66 indexed citations
11.
Ralph, F. Martin, Jonathan J. Rutz, Jason M. Cordeira, et al.. (2018). A Scale to Characterize the Strength and Impacts of Atmospheric Rivers. Bulletin of the American Meteorological Society. 100(2). 269–289. 327 indexed citations breakdown →
12.
Gershunov, Alexander, Tamara Shulgina, F. Martin Ralph, David A. Lavers, & Jonathan J. Rutz. (2017). Assessing the climate‐scale variability of atmospheric rivers affecting western North America. Geophysical Research Letters. 44(15). 7900–7908. 216 indexed citations
13.
Hatchett, Benjamin J., et al.. (2017). Avalanche Fatalities during Atmospheric River Events in the Western United States. Journal of Hydrometeorology. 18(5). 1359–1374. 34 indexed citations
14.
Steenburgh, W. James, et al.. (2017). GEFS Precipitation Forecasts and the Implications of Statistical Downscaling over the Western United States. Weather and Forecasting. 32(3). 1007–1028. 14 indexed citations
15.
Cordeira, Jason M., F. Martin Ralph, Andrew Martin, et al.. (2016). Forecasting Atmospheric Rivers during CalWater 2015. Bulletin of the American Meteorological Society. 98(3). 449–459. 40 indexed citations
16.
Rutz, Jonathan J., W. James Steenburgh, & F. Martin Ralph. (2015). The Inland Penetration of Atmospheric Rivers over Western North America: A Lagrangian Analysis. Monthly Weather Review. 143(5). 1924–1944. 96 indexed citations
17.
Rutz, Jonathan J.. (2013). Climatological Characteristics of Atmospheric Rivers and Their Inland Penetration over the Western United States. 2 indexed citations
18.
Rutz, Jonathan J. & W. James Steenburgh. (2012). Quantifying the role of atmospheric rivers in the interior western United States. Atmospheric Science Letters. 13(4). 257–261. 98 indexed citations
20.
Staten, Paul W., Jonathan J. Rutz, Thomas Reichler, & Jian Lu. (2011). Breaking down the tropospheric circulation response by forcing. Climate Dynamics. 39(9-10). 2361–2375. 66 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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