Colleen McHugh

2.0k total citations
18 papers, 219 citations indexed

About

Colleen McHugh is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Colleen McHugh has authored 18 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Global and Planetary Change, 15 papers in Atmospheric Science and 7 papers in Oceanography. Recurrent topics in Colleen McHugh's work include Climate variability and models (16 papers), Meteorological Phenomena and Simulations (10 papers) and Oceanographic and Atmospheric Processes (6 papers). Colleen McHugh is often cited by papers focused on Climate variability and models (16 papers), Meteorological Phenomena and Simulations (10 papers) and Oceanographic and Atmospheric Processes (6 papers). Colleen McHugh collaborates with scholars based in United States, Japan and South Korea. Colleen McHugh's co-authors include Thomas L. Delworth, Liwei Jia, Feiyu Lu, Nathaniel C. Johnson, William Cooke, Xiaosong Yang, Anthony Rosati, Matthew Harrison, Mitchell Bushuk and Sarah Kapnick and has published in prestigious journals such as Journal of Climate, Geophysical Research Letters and Science Advances.

In The Last Decade

Colleen McHugh

16 papers receiving 218 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Colleen McHugh United States 9 184 174 71 12 10 18 219
Panxi Dai China 10 197 1.1× 211 1.2× 53 0.7× 8 0.7× 20 2.0× 21 254
Caixin Wang Norway 9 377 2.0× 168 1.0× 41 0.6× 9 0.8× 12 1.2× 15 414
Clio Michel Norway 9 291 1.6× 294 1.7× 88 1.2× 3 0.3× 4 0.4× 16 322
Teresa Valkonen Norway 10 251 1.4× 184 1.1× 28 0.4× 10 0.8× 2 0.2× 15 266
Sae‐Rim Yeo South Korea 11 298 1.6× 296 1.7× 138 1.9× 4 0.3× 2 0.2× 15 341
L. C. Shaffrey United Kingdom 9 222 1.2× 274 1.6× 143 2.0× 4 0.3× 13 1.3× 9 294
Anika Obermann‐Hellhund Germany 6 98 0.5× 93 0.5× 58 0.8× 8 0.7× 3 0.3× 9 146
Jonathan K. P. Shonk United Kingdom 9 292 1.6× 315 1.8× 47 0.7× 3 0.3× 6 0.6× 16 328
Lisa‐Ann Kautz Germany 5 208 1.1× 225 1.3× 26 0.4× 2 0.2× 15 1.5× 6 261

Countries citing papers authored by Colleen McHugh

Since Specialization
Citations

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

Fields of papers citing papers by Colleen McHugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Colleen McHugh

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

All Works

18 of 18 papers shown
1.
Gregory, William K., Mitchell Bushuk, Yongfei Zhang, et al.. (2026). Advancing global sea ice prediction capabilities using a fully coupled climate model with integrated machine learning. Science Advances. 12(1). eady8957–eady8957.
2.
Murakami, Hiroyuki, Thomas L. Delworth, Nathaniel C. Johnson, et al.. (2025). Seasonal Forecasts of Tropical Cyclones Using GFDL SPEAR and HiFLOR-S. Journal of Climate. 38(9). 2015–2030.
3.
Yang, Xiaosong, Thomas L. Delworth, Liwei Jia, et al.. (2024). Skillful seasonal prediction of wind energy resources in the contiguous United States. Communications Earth & Environment. 5(1). 12 indexed citations
4.
Jia, Liwei, Thomas L. Delworth, Xiaosong Yang, et al.. (2024). Seasonal predictions of summer compound humid heat extremes in the southeastern United States driven by sea surface temperatures. npj Climate and Atmospheric Science. 7(1). 5 indexed citations
5.
Park, Young‐Gyu, et al.. (2024). Predictability and prediction skill of summertime East/Japan Sea surface temperature events. npj Climate and Atmospheric Science. 7(1). 1 indexed citations
6.
Dalyander, P. Soupy, et al.. (2023). Evaluation of emission reduction and other societal and environmental outcomes: Structured decision making for the Louisiana climate action plan. Journal of Environmental Management. 345. 118936–118936. 1 indexed citations
7.
McHugh, Colleen, Thomas L. Delworth, William Cooke, & Liwei Jia. (2023). Using Large Ensembles to Examine Historical and Projected Changes in Record‐Breaking Summertime Temperatures Over the Contiguous United States. Earth s Future. 11(12). 3 indexed citations
8.
Jia, Liwei, Thomas L. Delworth, Xiaosong Yang, et al.. (2023). Seasonal prediction of North American wintertime cold extremes in the GFDL SPEAR forecast system. Climate Dynamics. 61(3-4). 1769–1781. 8 indexed citations
9.
Tseng, Kai‐Chih, Nathaniel C. Johnson, Sarah Kapnick, et al.. (2022). When Will Humanity Notice Its Influence on Atmospheric Rivers?. Journal of Geophysical Research Atmospheres. 127(9). 9 indexed citations
10.
Jia, Liwei, Thomas L. Delworth, Sarah Kapnick, et al.. (2022). Skillful Seasonal Prediction of North American Summertime Heat Extremes. Journal of Climate. 35(13). 4331–4345. 15 indexed citations
11.
Yang, Xiaosong, Thomas L. Delworth, Liwei Jia, et al.. (2022). On the seasonal prediction and predictability of winter surface Temperature Swing Index over North America. Frontiers in Climate. 4. 7 indexed citations
12.
Bushuk, Mitchell, Yongfei Zhang, Michael Winton, et al.. (2022). Mechanisms of Regional Arctic Sea Ice Predictability in Two Dynamical Seasonal Forecast Systems. Journal of Climate. 35(13). 4207–4231. 20 indexed citations
13.
Delworth, Thomas L., Andrew T. Wittenberg, William Cooke, et al.. (2022). Seasonal-to-Decadal Variability and Prediction of the Kuroshio Extension in the GFDL Coupled Ensemble Reanalysis and Forecasting System. Journal of Climate. 35(11). 3515–3535. 14 indexed citations
14.
Bushuk, Mitchell, Michael Winton, F. Alexander Haumann, et al.. (2021). Seasonal Prediction and Predictability of Regional Antarctic Sea Ice. Journal of Climate. 34(15). 6207–6233. 35 indexed citations
15.
Zhang, Gan, Hiroyuki Murakami, William Cooke, et al.. (2021). Seasonal predictability of baroclinic wave activity. npj Climate and Atmospheric Science. 4(1). 12 indexed citations
16.
Tseng, Kai‐Chih, Nathaniel C. Johnson, Sarah Kapnick, et al.. (2021). Are Multiseasonal Forecasts of Atmospheric Rivers Possible?. Geophysical Research Letters. 48(17). 21 indexed citations
17.
Zhang, Liping, Thomas L. Delworth, Sarah Kapnick, et al.. (2021). Roles of Meridional Overturning in Subpolar Southern Ocean SST Trends: Insights from Ensemble Simulations. Journal of Climate. 35(5). 1577–1596. 6 indexed citations
18.
Lu, Feiyu, Matthew Harrison, Anthony Rosati, et al.. (2020). GFDL's SPEAR Seasonal Prediction System: Initialization and Ocean Tendency Adjustment (OTA) for Coupled Model Predictions. Journal of Advances in Modeling Earth Systems. 12(12). 50 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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Rankless by CCL
2026