Gregory J. Hakim

7.5k total citations · 3 hit papers
124 papers, 4.7k citations indexed

About

Gregory J. Hakim is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Gregory J. Hakim has authored 124 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Atmospheric Science, 102 papers in Global and Planetary Change and 20 papers in Oceanography. Recurrent topics in Gregory J. Hakim's work include Climate variability and models (95 papers), Meteorological Phenomena and Simulations (62 papers) and Geology and Paleoclimatology Research (33 papers). Gregory J. Hakim is often cited by papers focused on Climate variability and models (95 papers), Meteorological Phenomena and Simulations (62 papers) and Geology and Paleoclimatology Research (33 papers). Gregory J. Hakim collaborates with scholars based in United States, United Kingdom and China. Gregory J. Hakim's co-authors include Ryan D. Torn, Robert Tardif, Chris Snyder, Julien Emile‐Geay, Eric J. Steig, Jessica E. Tierney, Jonathan King, Jiang Zhu, Christopher J. Poulsen and Brian C. Ancell and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Gregory J. Hakim

120 papers receiving 4.6k citations

Hit Papers

Globally resolved surface temperatures since the Last Gla... 2019 2026 2021 2023 2021 2020 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregory J. Hakim United States 37 4.3k 3.4k 696 246 235 124 4.7k
Hans‐F. Graf Germany 41 4.3k 1.0× 4.2k 1.2× 575 0.8× 241 1.0× 199 0.8× 106 5.2k
Kwang‐Yul Kim South Korea 32 2.2k 0.5× 2.0k 0.6× 953 1.4× 251 1.0× 116 0.5× 99 2.9k
Rodrigo Caballero Sweden 36 3.3k 0.8× 2.7k 0.8× 645 0.9× 193 0.8× 69 0.3× 100 4.0k
Bruce P. Briegleb United States 31 4.3k 1.0× 3.9k 1.2× 1.2k 1.8× 165 0.7× 128 0.5× 38 5.1k
Christophe Genthon France 41 4.7k 1.1× 2.1k 0.6× 372 0.5× 739 3.0× 249 1.1× 115 5.3k
Thomas Laepple Germany 31 3.4k 0.8× 1.7k 0.5× 484 0.7× 584 2.4× 215 0.9× 86 3.9k
Tomonori Sato Japan 32 3.0k 0.7× 2.0k 0.6× 440 0.6× 296 1.2× 190 0.8× 118 3.7k
Yongyun Hu China 34 3.2k 0.7× 2.6k 0.8× 567 0.8× 146 0.6× 135 0.6× 184 4.0k
M. J. Rodwell United Kingdom 26 4.5k 1.0× 4.6k 1.3× 1.4k 2.0× 125 0.5× 187 0.8× 63 5.1k
Hubert Gallée France 40 4.8k 1.1× 2.4k 0.7× 360 0.5× 394 1.6× 172 0.7× 120 5.2k

Countries citing papers authored by Gregory J. Hakim

Since Specialization
Citations

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

Fields of papers citing papers by Gregory J. Hakim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory J. Hakim

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory J. Hakim. A scholar is included among the top collaborators of Gregory J. Hakim 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 Gregory J. Hakim. Gregory J. Hakim 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.
Hakim, Gregory J., et al.. (2025). Performance of the Pangu‐Weather Deep Learning Model in Forecasting Tornadic Environments. Geophysical Research Letters. 52(7).
2.
Hakim, Gregory J., et al.. (2025). Coupled Seasonal Data Assimilation of Sea Ice, Ocean, and Atmospheric Dynamics over the Last Millennium. Journal of Climate. 38(23). 7229–7247.
3.
Hakim, Gregory J., et al.. (2024). Predictability Limit of the 2021 Pacific Northwest Heatwave From Deep‐Learning Sensitivity Analysis. Geophysical Research Letters. 51(19). 9 indexed citations
4.
Amin, Muhammad, et al.. (2024). Deteksi Spam Berbahasa Indonesia Berbasis Teks Menggunakan Model Bert. SHILAP Revista de lepidopterología. 11(6). 1291–1302.
5.
Yang, Wenchang, Elizabeth Wallace, Gabriel A. Vecchi, et al.. (2024). Last millennium hurricane activity linked to endogenous climate variability. Nature Communications. 15(1). 816–816. 7 indexed citations
6.
Hakim, Gregory J., et al.. (2024). Reconstructing the Tropical Pacific Upper Ocean Using Online Data Assimilation With a Deep Learning Model. Journal of Advances in Modeling Earth Systems. 16(11). e2024MS004422–e2024MS004422. 5 indexed citations
7.
Holland, Paul R., et al.. (2023). Characteristics and rarity of the strong 1940s westerly wind event over the Amundsen Sea, West Antarctica. ˜The œcryosphere. 17(10). 4399–4420. 5 indexed citations
8.
Zhu, Feng, Julien Emile‐Geay, Kevin J. Anchukaitis, et al.. (2022). A re-appraisal of the ENSO response to volcanism with paleoclimate data assimilation. Nature Communications. 13(1). 747–747. 33 indexed citations
9.
Parsons, Luke, et al.. (2021). Do Multi‐Model Ensembles Improve Reconstruction Skill in Paleoclimate Data Assimilation?. Earth and Space Science. 8(4). 24 indexed citations
10.
Osman, Matthew, Jessica E. Tierney, Jiang Zhu, et al.. (2021). Globally resolved surface temperatures since the Last Glacial Maximum. Nature. 599(7884). 239–244. 313 indexed citations breakdown →
11.
Tardif, Robert, et al.. (2021). Assessing observation network design predictions for monitoring Antarctic surface temperature. Quarterly Journal of the Royal Meteorological Society. 148(743). 727–746. 7 indexed citations
12.
Zhu, Feng, Julien Emile‐Geay, Gregory J. Hakim, Jonathan King, & Kevin J. Anchukaitis. (2020). Resolving the Differences in the Simulated and Reconstructed Temperature Response to Volcanism. Geophysical Research Letters. 47(8). 43 indexed citations
13.
Erb, Michael P., Julien Emile‐Geay, Gregory J. Hakim, Nathan Steiger, & Eric J. Steig. (2020). Atmospheric dynamics drive most interannual U.S. droughts over the last millennium. Science Advances. 6(32). eaay7268–eaay7268. 20 indexed citations
14.
Briner, Jason P., Joshua Cuzzone, Nicolás E. Young, et al.. (2020). Rate of mass loss from the Greenland Ice Sheet will exceed Holocene values this century. Nature. 586(7827). 70–74. 68 indexed citations
15.
Neukom, Raphael, Luis A. Barboza, Michael P. Erb, et al.. (2019). Consistent multidecadal variability in global temperature reconstructions and simulations over the Common Era. Nature Geoscience. 12(8). 643–649. 277 indexed citations breakdown →
16.
Tardif, Robert, Gregory J. Hakim, W. A. Perkins, et al.. (2019). Last Millennium Reanalysis with an expanded proxy database and seasonal proxy modeling. Climate of the past. 15(4). 1251–1273. 157 indexed citations
17.
Steig, Eric J., et al.. (2018). The Holocene Thermal Maximum as an Analog for Future Warming: Insights from Paleoclimate Data Assimilation. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
18.
Madaus, Luke & Gregory J. Hakim. (2017). Constraining Ensemble Forecasts of Discrete Convective Initiation with Surface Observations. Monthly Weather Review. 145(7). 2597–2610. 11 indexed citations
19.
Steiger, Nathan, Gregory J. Hakim, Eric J. Steig, David S. Battisti, & Gerard H. Roe. (2012). Climate Field Reconstruction via Data Assimilation. AGUFM. 2012. 2 indexed citations
20.
Hakim, Gregory J.. (1997). Extratropical cyclogenesis in terms of baroclinic vortex dynamics. PhDT. 1333. 3 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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