Baird Langenbrunner

2.3k total citations · 1 hit paper
25 papers, 1.2k citations indexed

About

Baird Langenbrunner is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Baird Langenbrunner has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 12 papers in Atmospheric Science and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Baird Langenbrunner's work include Climate variability and models (15 papers), Meteorological Phenomena and Simulations (10 papers) and Climate change impacts on agriculture (4 papers). Baird Langenbrunner is often cited by papers focused on Climate variability and models (15 papers), Meteorological Phenomena and Simulations (10 papers) and Climate change impacts on agriculture (4 papers). Baird Langenbrunner collaborates with scholars based in United States, United Kingdom and Australia. Baird Langenbrunner's co-authors include J. David Neelin, Alex Hall, Daniel L. Swain, Neil Berg, Joyce E. Meyerson, James T. Randerson, Michael S. Pritchard, Gabriel J. Kooperman, Bruce T. Anderson and Benjamin R. Lintner and has published in prestigious journals such as Journal of Climate, Geophysical Research Letters and Science Advances.

In The Last Decade

Baird Langenbrunner

24 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Increasing precipitation volatility in twenty-first-century California

2018 686 citations Daniel L. Swain, Baird Langenbrunner et al. Nature Climate Change profile →

Peers

Baird Langenbrunner

GPC

AS

WST

ECOLO

NLC

Tim Brücher Germany

Andrew L. Lowry Australia

Yongli He China

LI Dong-liang China

Juan Antonio Rivera Argentina

Gemma Narisma Philippines

Abdelkader Mezghani Norway

John F. Mejía United States

Imtiaz Rangwala United States

Dhais Peña‐Angulo Spain

Tim Brücher Germany

Baird Langenbrunner

1.2k ×1.3

GPC

931 ×1.6

AS

189 ×0.9

WST

161 ×1.1

ECOLO

66 ×0.6

NLC

Citations per year, relative to Baird Langenbrunner Baird Langenbrunner (= 1×) peers Tim Brücher

Countries citing papers authored by Baird Langenbrunner

Since Specialization

Citations

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

Fields of papers citing papers by Baird Langenbrunner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baird Langenbrunner

This figure shows the co-authorship network connecting the top 25 collaborators of Baird Langenbrunner. A scholar is included among the top collaborators of Baird Langenbrunner 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 Baird Langenbrunner. Baird Langenbrunner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Langenbrunner, Baird. (2021). Water, water not everywhere. Nature Climate Change. 11(8). 650–650. 13 indexed citations

2.

Hantson, Stijn, Baird Langenbrunner, Бин Чэн, et al.. (2021). Wildfire response to changing daily temperature extremes in California’s Sierra Nevada. Science Advances. 7(47). eabe6417–eabe6417. 60 indexed citations

3.

Langenbrunner, Baird. (2021). Stronger and more drylines. Nature Climate Change. 11(8). 642–642. 1 indexed citations

4.

Langenbrunner, Baird. (2020). The pattern effect and climate sensitivity. Nature Climate Change. 10(11). 977–977. 2 indexed citations

5.

Langenbrunner, Baird. (2020). Power plants warm rivers. Nature Climate Change. 10(10). 888–888. 3 indexed citations

6.

Langenbrunner, Baird. (2020). Hazards in the Himalayas. Nature Climate Change. 10(5). 385–385. 2 indexed citations

7.

Langenbrunner, Baird. (2020). Aerosol-driven seasonality. Nature Climate Change. 10(8). 708–708. 2 indexed citations

8.

Langenbrunner, Baird. (2020). Ocean-driven Arctic warming. Nature Climate Change. 10(3). 184–184.

9.

Langenbrunner, Baird. (2019). A stronger South Asian monsoon. Nature Climate Change. 9(5). 352–352. 1 indexed citations

10.

Langenbrunner, Baird. (2019). Shifting moisture source. Nature Climate Change. 9(10). 728–728. 4 indexed citations

11.

Langenbrunner, Baird. (2019). Long live water vapour. Nature Climate Change. 9(12). 906–906. 1 indexed citations

12.

Langenbrunner, Baird, Michael S. Pritchard, Gabriel J. Kooperman, & James T. Randerson. (2019). Why Does Amazon Precipitation Decrease When Tropical Forests Respond to Increasing CO₂?. Earth s Future. 7(4). 450–468. 59 indexed citations

13.

Swain, Daniel L., Baird Langenbrunner, J. David Neelin, & Alex Hall. (2018). Increasing precipitation volatility in twenty-first-century California. Nature Climate Change. 8(5). 427–433. 686 indexed citations breakdown →

14.

Langenbrunner, Baird & J. David Neelin. (2017). Pareto‐Optimal Estimates of California Precipitation Change. Geophysical Research Letters. 44(24). 18 indexed citations

15.

Langenbrunner, Baird & J. David Neelin. (2017). Multiobjective constraints for climate model parameter choices: PragmaticPareto fronts in CESM1. Journal of Advances in Modeling Earth Systems. 9(5). 2008–2026. 10 indexed citations

16.

Lintner, Benjamin R., Baird Langenbrunner, J. David Neelin, et al.. (2016). Characterizing CMIP5 model spread in simulated rainfall in the Pacific Intertropical Convergence and South Pacific Convergence Zones. Journal of Geophysical Research Atmospheres. 121(19). 11590–11607. 12 indexed citations

17.

Anderson, Bruce T., Benjamin R. Lintner, Baird Langenbrunner, et al.. (2015). Sensitivity of terrestrial precipitation trends to the structural evolution of sea surface temperatures. Geophysical Research Letters. 42(4). 1190–1196. 14 indexed citations

18.

Berg, Neil, Alex Hall, Fengpeng Sun, et al.. (2014). Twenty-First-Century Precipitation Changes over the Los Angeles Region*. Journal of Climate. 28(2). 401–421. 27 indexed citations

19.

Langenbrunner, Baird, J. David Neelin, & Bruce T. Anderson. (2013). Principal uncertainty patterns in precipitation among CMIP5 models: Dominant modes of intermodel disagreement in precipitation climatologies and projected change patterns. AGU Fall Meeting Abstracts. 2013. 1 indexed citations

20.

Langenbrunner, Baird & J. David Neelin. (2013). Analyzing ENSO Teleconnections in CMIP Models as a Measure of Model Fidelity in Simulating Precipitation. Journal of Climate. 26(13). 4431–4446. 69 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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