Aneesh C. Subramanian

4.2k total citations
92 papers, 1.7k citations indexed

About

Aneesh C. Subramanian is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Aneesh C. Subramanian has authored 92 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Global and Planetary Change, 67 papers in Atmospheric Science and 37 papers in Oceanography. Recurrent topics in Aneesh C. Subramanian's work include Climate variability and models (71 papers), Meteorological Phenomena and Simulations (53 papers) and Oceanographic and Atmospheric Processes (34 papers). Aneesh C. Subramanian is often cited by papers focused on Climate variability and models (71 papers), Meteorological Phenomena and Simulations (53 papers) and Oceanographic and Atmospheric Processes (34 papers). Aneesh C. Subramanian collaborates with scholars based in United States, United Kingdom and Saudi Arabia. Aneesh C. Subramanian's co-authors include Arthur J. Miller, Ibrahim Hoteit, F. Martin Ralph, Peng Zhan, Hyodae Seo, Antonietta Capotondi, Fengchao Yao, T. N. Palmer, Hannah M. Christensen and Luca Delle Monache and has published in prestigious journals such as Scientific Reports, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Aneesh C. Subramanian

86 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aneesh C. Subramanian United States 23 1.3k 1.2k 653 134 68 92 1.7k
Patrick Laloyaux United Kingdom 13 1.3k 1.0× 1.3k 1.1× 493 0.8× 99 0.7× 24 0.4× 16 1.6k
Massimo Bonavita United Kingdom 19 1.7k 1.4× 1.8k 1.6× 466 0.7× 214 1.6× 17 0.3× 39 2.1k
Linus Magnusson United Kingdom 27 2.1k 1.7× 2.0k 1.7× 526 0.8× 205 1.5× 39 0.6× 82 2.6k
Carolyn A. Reynolds United States 29 1.9k 1.5× 2.1k 1.8× 522 0.8× 263 2.0× 28 0.4× 111 2.6k
Daniel Klocke Germany 21 2.0k 1.6× 1.9k 1.7× 292 0.4× 98 0.7× 23 0.3× 48 2.3k
Youmin Tang Canada 29 2.7k 2.1× 2.4k 2.1× 1.6k 2.5× 155 1.2× 30 0.4× 159 3.1k
Harold Ritchie Canada 21 1.3k 1.0× 1.5k 1.3× 416 0.6× 226 1.7× 71 1.0× 46 1.8k
Ralph F. Milliff United States 22 1.5k 1.1× 1.5k 1.3× 1.7k 2.6× 196 1.5× 85 1.3× 52 2.4k
M. Corazza Italy 12 903 0.7× 996 0.9× 228 0.3× 210 1.6× 22 0.3× 21 1.2k
Derek J. Posselt United States 27 1.6k 1.3× 1.9k 1.6× 330 0.5× 410 3.1× 28 0.4× 109 2.3k

Countries citing papers authored by Aneesh C. Subramanian

Since Specialization
Citations

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

Fields of papers citing papers by Aneesh C. Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aneesh C. Subramanian. 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 Aneesh C. Subramanian. The network helps show where Aneesh C. Subramanian may publish in the future.

Co-authorship network of co-authors of Aneesh C. Subramanian

This figure shows the co-authorship network connecting the top 25 collaborators of Aneesh C. Subramanian. A scholar is included among the top collaborators of Aneesh C. Subramanian 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 Aneesh C. Subramanian. Aneesh C. Subramanian 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.
Song, Hajoon, Hyodae Seo, Rui Sun, et al.. (2025). Dynamic and thermodynamic coupling between the atmosphere and ocean near the Kuroshio current and extension system. Ocean Modelling. 194. 102496–102496.
2.
Subramanian, Aneesh C., et al.. (2025). Changes to Atmospheric River Related Extremes Over the United States West Coast Under Anthropogenic Warming. Geophysical Research Letters. 52(5). 1 indexed citations
3.
Dunmire, Devon, et al.. (2025). Greenland Ice Sheet Wide Supraglacial Lake Evolution and Dynamics: Insights From the 2018 and 2019 Melt Seasons. Earth and Space Science. 12(2). 1 indexed citations
4.
Sun, Rui, Sivareddy Sanikommu, Aneesh C. Subramanian, et al.. (2024). Enhanced regional ocean ensemble data assimilation through atmospheric coupling in the SKRIPS model. Ocean Modelling. 191. 102424–102424.
5.
Subramanian, Aneesh C., et al.. (2023). Increase in MJO predictability under global warming. Nature Climate Change. 14(1). 68–74. 9 indexed citations
6.
Zhang, Zhenhai, Michael J. DeFlorio, Luca Delle Monache, et al.. (2023). Multi‐Model Subseasonal Prediction Skill Assessment of Water Vapor Transport Associated With Atmospheric Rivers Over the Western U.S.. Journal of Geophysical Research Atmospheres. 128(7). 2 indexed citations
7.
Castellano, Christopher, Michael J. DeFlorio, Peter B. Gibson, et al.. (2023). Development of a Statistical Subseasonal Forecast Tool to Predict California Atmospheric Rivers and Precipitation Based on MJO and QBO Activity. Journal of Geophysical Research Atmospheres. 128(6). 8 indexed citations
8.
Verdy, Ariane, Matthew R. Mazloff, Bruce D. Cornuelle, & Aneesh C. Subramanian. (2023). Balancing Volume, Temperature, and Salinity Budgets During 2014–2018 in the Tropical Pacific Ocean State Estimate. Journal of Geophysical Research Oceans. 128(7).
9.
Ait‐El‐Fquih, Boujemaa, Aneesh C. Subramanian, & Ibrahim Hoteit. (2023). A variational Bayesian approach for ensemble filtering of stochastically parametrized systems. Quarterly Journal of the Royal Meteorological Society. 149(754). 1769–1788. 1 indexed citations
10.
Sun, Rui, Ana B. Villas Bôas, Aneesh C. Subramanian, et al.. (2022). Focusing and Defocusing of Tropical Cyclone Generated Waves by Ocean Current Refraction. Journal of Geophysical Research Oceans. 127(1). 13 indexed citations
11.
Chandra, V., S. Sandeep, E. Suhas, & Aneesh C. Subramanian. (2022). Weakening of Indian Summer Monsoon Synoptic Activity in Response to Polar Sea Ice Melt Induced by Albedo Reduction in a Climate Model. Earth and Space Science. 9(9). 3 indexed citations
12.
Zheng, Minghua, Luca Delle Monache, Bruce D. Cornuelle, et al.. (2021). Improved Forecast Skill Through the Assimilation of Dropsonde Observations From the Atmospheric River Reconnaissance Program. Journal of Geophysical Research Atmospheres. 126(21). 21 indexed citations
13.
Sun, Rui, Aneesh C. Subramanian, Arthur J. Miller, et al.. (2019). SKRIPS v1.0: a regional coupled ocean–atmosphere modeling framework (MITgcm–WRF) using ESMF/NUOPC, description and preliminary results for the Red Sea. Geoscientific model development. 12(10). 4221–4244. 19 indexed citations
14.
Ramapriyan, H. K., Jonathan Hobbs, Robert R. Downs, et al.. (2019). Understanding the Various Perspectives of Earth Science Observational Data Uncertainty. Figshare. 2 indexed citations
15.
Subramanian, Aneesh C., et al.. (2018). Remote and local influences in forecasting Pacific SST: a linear inverse model and a multimodel ensemble study. Climate Dynamics. 52(5-6). 3183–3201. 18 indexed citations
16.
Giglio, Donata, et al.. (2017). The role of wind gusts in upper ocean diurnal variability.. eScholarship (California Digital Library). 1 indexed citations
17.
Davini, Paolo, Jost von Hardenberg, Susanna Corti, et al.. (2017). Climate SPHINX: evaluating the impact of resolution and stochastic physics parameterisations in the EC-Earth global climate model. Geoscientific model development. 10(3). 1383–1402. 66 indexed citations
18.
Davini, Paolo, Jost von Hardenberg, Susanna Corti, et al.. (2016). Climate SPHINX: evaluating the impact of resolution and stochastic physics parameterisations in climate simulations. Bristol Research (University of Bristol). 7 indexed citations
19.
Subramanian, Aneesh C., Arthur J. Miller, Bruce D. Cornuelle, et al.. (2013). A data assimilative perspective of oceanic mesoscale eddy evolution during VOCALS-REx. Atmospheric chemistry and physics. 13(6). 3329–3344. 4 indexed citations
20.
Song, Hajoon, Ibrahim Hoteit, Bruce D. Cornuelle, Xiaodong Luo, & Aneesh C. Subramanian. (2013). An Adjoint-Based Adaptive Ensemble Kalman Filter. Monthly Weather Review. 141(10). 3343–3359. 8 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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