Mitchell Bushuk

3.4k total citations
49 papers, 1.2k citations indexed

About

Mitchell Bushuk is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Mitchell Bushuk has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Atmospheric Science, 32 papers in Global and Planetary Change and 8 papers in Oceanography. Recurrent topics in Mitchell Bushuk's work include Arctic and Antarctic ice dynamics (43 papers), Climate variability and models (32 papers) and Climate change and permafrost (29 papers). Mitchell Bushuk is often cited by papers focused on Arctic and Antarctic ice dynamics (43 papers), Climate variability and models (32 papers) and Climate change and permafrost (29 papers). Mitchell Bushuk collaborates with scholars based in United States, China and France. Mitchell Bushuk's co-authors include Michael Winton, Xiaosong Yang, Dimitrios Giannakis, Anthony Rosati, Thomas L. Delworth, Rym Msadek, Rich Gudgel, Gabriel A. Vecchi, Nathaniel C. Johnson and David Bonan and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Journal of Fluid Mechanics.

In The Last Decade

Mitchell Bushuk

47 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitchell Bushuk United States 19 1.1k 660 168 96 64 49 1.2k
Tom Carrières Canada 16 695 0.6× 166 0.3× 124 0.7× 69 0.7× 12 0.2× 37 733
Ruibo Lei China 19 725 0.7× 158 0.2× 93 0.6× 103 1.1× 9 0.1× 54 828
Clare Eayrs United Arab Emirates 10 487 0.4× 245 0.4× 167 1.0× 50 0.5× 15 0.2× 17 570
Roberta Pirazzini Finland 13 612 0.6× 296 0.4× 46 0.3× 22 0.2× 34 0.5× 28 657
Lasse Rabenstein Germany 15 616 0.6× 72 0.1× 70 0.4× 53 0.6× 24 0.4× 27 726
Melinda Webster United States 21 1.3k 1.2× 295 0.4× 102 0.6× 108 1.1× 3 0.0× 54 1.3k
Jack Landy Canada 21 968 0.9× 147 0.2× 227 1.4× 206 2.1× 5 0.1× 68 1.1k
Mario Hoppmann Germany 15 447 0.4× 59 0.1× 82 0.5× 69 0.7× 24 0.4× 47 531
M. H. Savoie United States 8 697 0.6× 247 0.4× 111 0.7× 40 0.4× 7 0.1× 16 800
Xiaoming Hu China 14 465 0.4× 500 0.8× 155 0.9× 15 0.2× 9 0.1× 46 625

Countries citing papers authored by Mitchell Bushuk

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell Bushuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitchell Bushuk

This figure shows the co-authorship network connecting the top 25 collaborators of Mitchell Bushuk. A scholar is included among the top collaborators of Mitchell Bushuk 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 Mitchell Bushuk. Mitchell Bushuk 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.
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.
Gregory, William K., Mitchell Bushuk, Yongfei Zhang, Alistair Adcroft, & Laure Zanna. (2024). Machine Learning for Online Sea Ice Bias Correction Within Global Ice‐Ocean Simulations. Geophysical Research Letters. 51(3). 7 indexed citations
3.
Fogarty, Joseph, Elie Bou‐Zeid, Mitchell Bushuk, & Linette Boisvert. (2024). How many parameters are needed to represent polar sea ice surface patterns and heterogeneity?. ˜The œcryosphere. 18(9). 4335–4354. 1 indexed citations
4.
Yang, Qinghua, Hao Luo, Jack Landy, et al.. (2023). Better synoptic and subseasonal sea ice thickness predictions are urgently required: a lesson learned from the YOPP data validation. Environmental Research Letters. 18(7). 71002–71002. 2 indexed citations
5.
Wang, Yunhe, Xiaojun Yuan, Yibin Ren, et al.. (2023). Subseasonal Prediction of Regional Antarctic Sea Ice by a Deep Learning Model. Geophysical Research Letters. 50(17). 17 indexed citations
6.
Bushuk, Mitchell, Lorenzo M. Polvani, & Mark England. (2023). Comparing the impacts of ozone-depleting substances and carbon dioxide on Arctic sea ice loss. SHILAP Revista de lepidopterología. 2(4). 41001–41001.
7.
MacGilchrist, Graeme A., et al.. (2023). Potential Predictability of the Spring Bloom in the Southern Ocean Sea Ice Zone. Geophysical Research Letters. 50(20). 4 indexed citations
8.
Gregory, William K., Mitchell Bushuk, Alistair Adcroft, Yongfei Zhang, & Laure Zanna. (2023). Deep Learning of Systematic Sea Ice Model Errors From Data Assimilation Increments. Journal of Advances in Modeling Earth Systems. 15(10). 17 indexed citations
9.
Blanchard‐Wrigglesworth, Edward, Mitchell Bushuk, François Massonnet, et al.. (2023). Forecast Skill of the Arctic Sea Ice Outlook 2008–2022. Geophysical Research Letters. 50(6). 9 indexed citations
10.
Zhang, Liping, Thomas L. Delworth, Xiaosong Yang, et al.. (2022). The relative role of the subsurface Southern Ocean in driving negative Antarctic Sea ice extent anomalies in 2016–2021. Communications Earth & Environment. 3(1). 47 indexed citations
11.
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
12.
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
13.
Keen, Ann, Ed Blockley, David A. Bailey, et al.. (2021). An inter-comparison of the mass budget of the Arctic sea ice in CMIP6 models. ˜The œcryosphere. 15(2). 951–982. 58 indexed citations
14.
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
15.
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
16.
Ding, Qinghua, Axel Schweiger, Michelle L’Heureux, et al.. (2019). Fingerprints of internal drivers of Arctic sea ice loss in observations and model simulations. AGU Fall Meeting Abstracts. 2019. 2 indexed citations
17.
Ding, Qinghua, Axel Schweiger, Michelle L’Heureux, et al.. (2018). Fingerprints of internal drivers of Arctic sea ice loss in observations and model simulations. Nature Geoscience. 12(1). 28–33. 146 indexed citations
18.
Bushuk, Mitchell, Rym Msadek, Michael Winton, et al.. (2017). Skillful regional prediction of Arctic sea ice on seasonal timescales. Geophysical Research Letters. 44(10). 4953–4964. 93 indexed citations
19.
Bushuk, Mitchell, Rym Msadek, Michael Winton, et al.. (2017). Regional Arctic sea-ice prediction: A direct comparison of potential versus operational seasonal forecast skill. AGU Fall Meeting Abstracts. 2017. 7 indexed citations
20.
Bushuk, Mitchell, Dimitrios Giannakis, & Andrew J. Majda. (2014). Arctic Sea Ice Reemergence: The Role of Large-Scale Oceanic and Atmospheric Variability. AGU Fall Meeting Abstracts. 2014. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Tom Carrières Breakdown of academic impact, for papers by Ruibo Lei Breakdown of academic impact, for papers by Clare Eayrs Breakdown of academic impact, for papers by Roberta Pirazzini Breakdown of academic impact, for papers by Lasse Rabenstein Breakdown of academic impact, for papers by Melinda Webster Breakdown of academic impact, for papers by Jack Landy Breakdown of academic impact, for papers by Mario Hoppmann Breakdown of academic impact, for papers by M. H. Savoie Breakdown of academic impact, for papers by Xiaoming Hu
Rankless by CCL
2026