Travis O’Brien

3.0k total citations
64 papers, 1.4k citations indexed

About

Travis O’Brien is a scholar working on Global and Planetary Change, Atmospheric Science and Condensed Matter Physics. According to data from OpenAlex, Travis O’Brien has authored 64 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Global and Planetary Change, 50 papers in Atmospheric Science and 5 papers in Condensed Matter Physics. Recurrent topics in Travis O’Brien's work include Climate variability and models (54 papers), Meteorological Phenomena and Simulations (45 papers) and Tropical and Extratropical Cyclones Research (15 papers). Travis O’Brien is often cited by papers focused on Climate variability and models (54 papers), Meteorological Phenomena and Simulations (45 papers) and Tropical and Extratropical Cyclones Research (15 papers). Travis O’Brien collaborates with scholars based in United States, Australia and United Kingdom. Travis O’Brien's co-authors include William D. Collins, Paul Ullrich, John P. OʼBrien, Michael Wehner, Christina M. Patricola, Mark D. Risser, Alan M. Rhoades, Karthik Kashinath, Harinarayan Krishnan and Nicholas R. Cavanaugh and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Applied Physics.

In The Last Decade

Travis O’Brien

58 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Travis O’Brien United States 25 1.0k 942 92 85 84 64 1.4k
Naiming Yuan China 19 680 0.7× 445 0.5× 31 0.3× 72 0.8× 103 1.2× 71 1.1k
Antonio Parodi Italy 22 1.2k 1.2× 1.1k 1.2× 203 2.2× 202 2.4× 119 1.4× 100 1.6k
Gintaras Dūda United States 8 822 0.8× 980 1.0× 37 0.4× 310 3.6× 119 1.4× 30 1.6k
Xueliang Wang China 16 510 0.5× 442 0.5× 19 0.2× 27 0.3× 241 2.9× 63 1.1k
Xu Zhou China 23 1.1k 1.1× 1.3k 1.4× 189 2.1× 330 3.9× 52 0.6× 84 1.8k
Nathan Collier United States 16 391 0.4× 197 0.2× 67 0.7× 60 0.7× 39 0.5× 45 1.0k
Stéphane Vannitsem Belgium 23 1.2k 1.2× 964 1.0× 185 2.0× 180 2.1× 217 2.6× 94 1.6k
M. Rast Netherlands 19 380 0.4× 286 0.3× 78 0.8× 279 3.3× 189 2.3× 53 1.1k
Stefan Metzger Germany 22 811 0.8× 571 0.6× 64 0.7× 184 2.2× 16 0.2× 114 1.4k
Atsumu Ohmura Switzerland 8 292 0.3× 326 0.3× 87 0.9× 99 1.2× 53 0.6× 17 699

Countries citing papers authored by Travis O’Brien

Since Specialization
Citations

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

Fields of papers citing papers by Travis O’Brien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis O’Brien. 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 Travis O’Brien. The network helps show where Travis O’Brien may publish in the future.

Co-authorship network of co-authors of Travis O’Brien

This figure shows the co-authorship network connecting the top 25 collaborators of Travis O’Brien. A scholar is included among the top collaborators of Travis O’Brien 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 Travis O’Brien. Travis O’Brien 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
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Willard, Jared, et al.. (2025). Analyzing and Exploring Training Recipes for Large-Scale Transformer-Based Weather Prediction. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4(2). 2 indexed citations
4.
Ullrich, Paul, Elizabeth A. Barnes, William D. Collins, et al.. (2025). Recommendations for Comprehensive and Independent Evaluation of Machine Learning‐Based Earth System Models. SHILAP Revista de lepidopterología. 2(1). 3 indexed citations
5.
Tsai, Wu-Yang, Travis O’Brien, Jennifer L. Catto, et al.. (2025). Co‐Occurring Atmospheric Features and Their Contributions to Precipitation Extremes. Journal of Geophysical Research Atmospheres. 130(5). 2 indexed citations
6.
Risser, Mark D., et al.. (2024). Leveraging Extremal Dependence to Better Characterize the 2021 Pacific Northwest Heatwave. Journal of Agricultural Biological and Environmental Statistics. 31(1). 24–45. 6 indexed citations
7.
O’Brien, Travis, et al.. (2024). Atmospheric Rivers in the Eastern and Midwestern United States Associated With Baroclinic Waves. Geophysical Research Letters. 51(8). 4 indexed citations
8.
Liu, Xue, R. Saravanan, Dan Fu, et al.. (2024). How Do Climate Model Resolution and Atmospheric Moisture Affect the Simulation of Unprecedented Extreme Events Like the 2021 Western North American Heat Wave?. Geophysical Research Letters. 51(14). 2 indexed citations
9.
O’Brien, Travis, et al.. (2024). Scalable Feature Extraction and Tracking (SCAFET): a general framework for feature extraction from large climate data sets. Geoscientific model development. 17(1). 301–320. 2 indexed citations
10.
Kieu, Chanh, et al.. (2023). A convection‐permitting dynamically downscaled dataset over the Midwestern United States. Geoscience Data Journal. 10(4). 429–446. 1 indexed citations
11.
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
12.
O’Brien, Travis, et al.. (2022). Anthropogenic Contributions to the 2021 Pacific Northwest Heatwave. Geophysical Research Letters. 49(23). 40 indexed citations
13.
Risser, Mark D., William D. Collins, Michael Wehner, et al.. (2022). A framework for detection and attribution of regional precipitation change: Application to the United States historical record. Climate Dynamics. 60(3-4). 705–741. 7 indexed citations
14.
O’Brien, Travis, et al.. (2021). Constraining and Characterizing the Size of Atmospheric Rivers: A Perspective Independent From the Detection Algorithm. Journal of Geophysical Research Atmospheres. 126(16). 13 indexed citations
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Rhoades, Alan M., Andrew D. Jones, Travis O’Brien, et al.. (2020). Influences of North Pacific Ocean Domain Extent on the Western U.S. Winter Hydroclimatology in Variable‐Resolution CESM. Journal of Geophysical Research Atmospheres. 125(14). 26 indexed citations
17.
Zhou, Yang, Travis O’Brien, Paul Ullrich, et al.. (2020). Uncertainties in Atmospheric River Life Cycles by Detection Algorithms: Climatology and Variability. 3 indexed citations
18.
OʼBrien, John P., Travis O’Brien, Christina M. Patricola, & Shih‐Yu Wang. (2019). Metrics for understanding large-scale controls of multivariate temperature and precipitation variability. Climate Dynamics. 53(7-8). 3805–3823. 17 indexed citations
19.
O’Brien, Travis, William D. Collins, Karthik Kashinath, et al.. (2016). Resolution dependence of precipitation statistical fidelity in hindcast simulations. Journal of Advances in Modeling Earth Systems. 8(2). 976–990. 63 indexed citations
20.
Miller, Norman L., P. Duffy, Daniel R. Cayan, et al.. (2008). An Analysis Of Simulated California Climate Using Multiple Dynamical And Statistical techniques. eScholarship (California Digital Library). 5 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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