J. J. Barsugli

2.9k total citations
47 papers, 2.1k citations indexed

About

J. J. Barsugli is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, J. J. Barsugli has authored 47 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Global and Planetary Change, 28 papers in Atmospheric Science and 11 papers in Oceanography. Recurrent topics in J. J. Barsugli's work include Climate variability and models (32 papers), Meteorological Phenomena and Simulations (19 papers) and Hydrology and Watershed Management Studies (10 papers). J. J. Barsugli is often cited by papers focused on Climate variability and models (32 papers), Meteorological Phenomena and Simulations (19 papers) and Hydrology and Watershed Management Studies (10 papers). J. J. Barsugli collaborates with scholars based in United States, Netherlands and Israel. J. J. Barsugli's co-authors include David S. Battisti, Prashant D. Sardeshmukh, James D. Scott, Michael A. Alexander, Ben Livneh, Kelly Mahoney, Martin P. Hoerling, Philip Sura, Sang‐Ik Shin and James Prairie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

J. J. Barsugli

46 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. J. Barsugli United States 24 1.7k 1.3k 559 335 137 47 2.1k
C. Cooper United Kingdom 4 1.8k 1.1× 1.5k 1.1× 575 1.0× 324 1.0× 207 1.5× 7 2.5k
Helene T. Banks United Kingdom 13 2.0k 1.2× 1.6k 1.2× 945 1.7× 287 0.9× 195 1.4× 17 2.8k
Gerald A. Meehl United States 12 1.6k 1.0× 1.2k 0.9× 254 0.5× 245 0.7× 143 1.0× 15 2.1k
Tomoo Ogura Japan 24 2.2k 1.3× 1.9k 1.4× 288 0.5× 175 0.5× 120 0.9× 51 2.6k
Tatsuo Suzuki Japan 17 1.4k 0.8× 1.2k 0.9× 664 1.2× 158 0.5× 167 1.2× 49 1.9k
R. A. Stratton United Kingdom 18 2.1k 1.3× 1.9k 1.4× 346 0.6× 233 0.7× 125 0.9× 31 2.6k
Hiroaki Tatebe Japan 24 2.4k 1.4× 2.1k 1.5× 1.1k 1.9× 191 0.6× 198 1.4× 68 3.1k
Nicola Maher Australia 17 2.2k 1.3× 1.6k 1.2× 338 0.6× 381 1.1× 179 1.3× 35 2.7k
Robin Chadwick United Kingdom 27 2.2k 1.3× 1.7k 1.3× 372 0.7× 233 0.7× 158 1.2× 64 2.6k
María Jesús Esteban‐Parra Spain 26 2.2k 1.3× 1.8k 1.3× 348 0.6× 413 1.2× 188 1.4× 70 2.8k

Countries citing papers authored by J. J. Barsugli

Since Specialization
Citations

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

Fields of papers citing papers by J. J. Barsugli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. J. Barsugli

This figure shows the co-authorship network connecting the top 25 collaborators of J. J. Barsugli. A scholar is included among the top collaborators of J. J. Barsugli 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 J. J. Barsugli. J. J. Barsugli 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.
Quan, Xiao‐Wei, Jieshun Zhu, Bhaskar Jha, et al.. (2024). A New GFSv15 With FV3 Dynamical Core Based Climate Model Large Ensemble and Its Application to Understanding Climate Variability, and Predictability. Journal of Geophysical Research Atmospheres. 129(8). 3 indexed citations
2.
Schreck, Carl J., David R. Easterling, J. J. Barsugli, et al.. (2024). A rapid response process for evaluating causes of extreme temperature events in the United States: The 2023 Texas/Louisiana heat wave as a prototype. SHILAP Revista de lepidopterología. 3(4). 45017–45017.
3.
4.
Barsugli, J. J., et al.. (2023). Ensemble of CMIP6 derived reference and potential evapotranspiration with radiative and advective components. Scientific Data. 10(1). 417–417. 17 indexed citations
5.
Barsugli, J. J., David R. Easterling, Derek S. Arndt, et al.. (2022). Development of a Rapid Response Capability to Evaluate Causes of Extreme Temperature and Drought Events in the United States. Bulletin of the American Meteorological Society. 103(3). S14–S20. 5 indexed citations
6.
Hoerling, Martin P., et al.. (2019). Causes for the Century-Long Decline in Colorado River Flow. Journal of Climate. 32(23). 8181–8203. 59 indexed citations
7.
Rangwala, Imtiaz, et al.. (2017). Drought risk assessment under climate change is sensitive to methodological choices for the estimation of evaporative demand. PLoS ONE. 12(3). e0174045–e0174045. 58 indexed citations
8.
Zhang, Tao, Martin P. Hoerling, Klaus Wolter, et al.. (2017). Predictability and Prediction of Southern California Rains during Strong El Niño Events: A Focus on the Failed 2016 Winter Rains. Journal of Climate. 31(2). 555–574. 23 indexed citations
9.
Livneh, Ben, J. S. Deems, Dominik Schneider, J. J. Barsugli, & N. P. Molotch. (2014). Filling in the gaps: Inferring spatially distributed precipitation from gauge observations over complex terrain. Water Resources Research. 50(11). 8589–8610. 42 indexed citations
10.
Deems, J. S., T. H. Painter, J. J. Barsugli, Jayne Belnap, & B. Udall. (2013). Combined impacts of current and future dust deposition and regional warming on Colorado River Basin snow dynamics and hydrology. Hydrology and earth system sciences. 17(11). 4401–4413. 58 indexed citations
11.
Mahoney, Kelly, Michael A. Alexander, Gregory Thompson, J. J. Barsugli, & James D. Scott. (2012). Changes in hail and flood risk in high-resolution simulations over Colorado's mountains. Nature Climate Change. 2(2). 125–131. 96 indexed citations
12.
Barsugli, J. J.. (2010). What's a billion cubic meters among friends: The impacts of quantile mapping bias correction on climate projections. AGUFM. 2010. 2 indexed citations
13.
Rajagopalan, Balaji, Kenneth Nowak, Martin P. Hoerling, et al.. (2008). Climate, Growth and Drought Threat to Colorado River Water Supply. AGUFM. 2008. 1 indexed citations
14.
Bitz, Cecilia M., John C. H. Chiang, Wei Cheng, & J. J. Barsugli. (2007). Rates of thermohaline recovery from freshwater pulses in modern, Last Glacial Maximum, and greenhouse warming climates. Geophysical Research Letters. 34(7). 47 indexed citations
15.
Shin, Sang‐Ik, Prashant D. Sardeshmukh, Robert S. Webb, Robert J. Oglesby, & J. J. Barsugli. (2006). Understanding the Mid-Holocene Climate. Journal of Climate. 19(12). 2801–2817. 47 indexed citations
16.
Barsugli, J. J. & Prashant D. Sardeshmukh. (2002). Global Atmospheric Sensitivity to Tropical SST Anomalies throughout the Indo-Pacific Basin. Journal of Climate. 15(23). 3427–3442. 202 indexed citations
17.
Sura, Philip & J. J. Barsugli. (2002). A note on estimating drift and diffusion parameters from timeseries. Physics Letters A. 305(5). 304–311. 71 indexed citations
18.
Newman, Matthew, Michael A. Alexander, Christopher Winkler, James D. Scott, & J. J. Barsugli. (2000). A linear diagnosis of the coupled extratropical ocean–atmosphere system in the GFDL GCM. Atmospheric Science Letters. 1(1). 14–25. 8 indexed citations
19.
Barsugli, J. J., Jeffrey S. Whitaker, Andrew Loughe, Prashant D. Sardeshmukh, & Zoltán Tóth. (1999). The Effect of the 1997/98 El Niño on Individual Large-Scale Weather Events. Bulletin of the American Meteorological Society. 80(7). 1399–1411. 32 indexed citations
20.

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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