Deepthi Achuthavarier

1.6k total citations
16 papers, 859 citations indexed

About

Deepthi Achuthavarier is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Deepthi Achuthavarier has authored 16 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 15 papers in Atmospheric Science and 8 papers in Oceanography. Recurrent topics in Deepthi Achuthavarier's work include Climate variability and models (14 papers), Meteorological Phenomena and Simulations (10 papers) and Tropical and Extratropical Cyclones Research (7 papers). Deepthi Achuthavarier is often cited by papers focused on Climate variability and models (14 papers), Meteorological Phenomena and Simulations (10 papers) and Tropical and Extratropical Cyclones Research (7 papers). Deepthi Achuthavarier collaborates with scholars based in United States, United Kingdom and Germany. Deepthi Achuthavarier's co-authors include V. Krishnamurthy, Thomas Jung, Nils Wedi, Benjamin A. Cash, James L. Kinter, Eric Altshuler, Peter Towers, L. Marx, Jennifer Adams and Bohua Huang and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Climate Dynamics.

In The Last Decade

Deepthi Achuthavarier

16 papers receiving 853 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepthi Achuthavarier United States 12 809 807 267 13 10 16 859
Jean‐François Guérémy France 7 853 1.1× 813 1.0× 286 1.1× 8 0.6× 19 1.9× 15 887
Min‐Seop Ahn United States 15 719 0.9× 672 0.8× 249 0.9× 9 0.7× 13 1.3× 23 767
Zhaobo Sun China 9 399 0.5× 356 0.4× 246 0.9× 8 0.6× 4 0.4× 23 441
Tianjiao Ma China 14 438 0.5× 422 0.5× 154 0.6× 16 1.2× 5 0.5× 42 525
Steven W. Lyons United States 12 600 0.7× 556 0.7× 259 1.0× 8 0.6× 7 0.7× 19 650
Jae Schemm United States 10 556 0.7× 512 0.6× 190 0.7× 24 1.8× 13 1.3× 14 594
Charles N. Helms United States 7 357 0.4× 379 0.5× 134 0.5× 14 1.1× 5 0.5× 15 423
Xin Geng China 12 487 0.6× 441 0.5× 187 0.7× 10 0.8× 9 0.9× 34 541
Aaron F. Z. Levine United States 10 551 0.7× 452 0.6× 357 1.3× 9 0.7× 4 0.4× 12 602
Xiaoqing Lan China 11 358 0.4× 340 0.4× 115 0.4× 18 1.4× 10 1.0× 30 404

Countries citing papers authored by Deepthi Achuthavarier

Since Specialization
Citations

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

Fields of papers citing papers by Deepthi Achuthavarier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepthi Achuthavarier

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

All Works

16 of 16 papers shown
1.
Wang, Hailan, Wenying Su, Norman G. Loeb, Deepthi Achuthavarier, & Siegfried D. Schubert. (2017). The role of DYNAMO in situ observations in improving NASA CERES‐like daily surface and atmospheric radiative flux estimates. Earth and Space Science. 4(4). 164–183. 1 indexed citations
2.
Achuthavarier, Deepthi, Hailan Wang, Siegfried D. Schubert, & Meta Sienkiewicz. (2016). Impact of DYNAMO observations on NASA GEOS‐5 reanalyses and the representation of MJO initiation. Journal of Geophysical Research Atmospheres. 122(1). 179–201. 4 indexed citations
3.
Achuthavarier, Deepthi, et al.. (2016). North Pacific decadal variability: insights from a biennial ENSO environment. Climate Dynamics. 49(4). 1379–1397. 3 indexed citations
4.
Reale, Oreste, et al.. (2016). Tropical Cyclones in the 7-km NASA Global Nature Run for Use in Observing System Simulation Experiments. Journal of Atmospheric and Oceanic Technology. 34(1). 73–100. 11 indexed citations
5.
Gelaro, Ronald, Yun Li, Steven Pawson, et al.. (2015). Evaluation of the 7-km GEOS-5 Nature Run. NASA Technical Reports Server (NASA). 33 indexed citations
6.
Manganello, Julia V., Kevin I. Hodges, James L. Kinter, et al.. (2014). Future Changes in the Western North Pacific Tropical Cyclone Activity Projected by a Multidecadal Simulation with a 16-km Global Atmospheric GCM. Journal of Climate. 27(20). 7622–7646. 54 indexed citations
7.
Manganello, Julia V., Kevin I. Hodges, James L. Kinter, et al.. (2012). Tropical Cyclone Climatology in a 10-km Global Atmospheric GCM: Toward Weather-Resolving Climate Modeling. Journal of Climate. 25(11). 3867–3893. 162 indexed citations
8.
Jung, Thomas, M. J. Miller, T. N. Palmer, et al.. (2011). High-Resolution Global Climate Simulations with the ECMWF Model in Project Athena: Experimental Design, Model Climate, and Seasonal Forecast Skill. Journal of Climate. 25(9). 3155–3172. 193 indexed citations
9.
Satoh, Masaki, Kazuyoshi Oouchi, Tomoe Nasuno, et al.. (2011). The Intra-Seasonal Oscillation and its control of tropical cyclones simulated by high-resolution global atmospheric models. Climate Dynamics. 39(9-10). 2185–2206. 52 indexed citations
10.
Dirmeyer, Paul A., Benjamin A. Cash, James L. Kinter, et al.. (2011). Simulating the diurnal cycle of rainfall in global climate models: resolution versus parameterization. Climate Dynamics. 39(1-2). 399–418. 189 indexed citations
11.
Achuthavarier, Deepthi, V. Krishnamurthy, Ben P. Kirtman, & Bohua Huang. (2011). Role of the Indian Ocean in the ENSO–Indian Summer Monsoon Teleconnection in the NCEP Climate Forecast System. Journal of Climate. 25(7). 2490–2508. 42 indexed citations
12.
Krishnamurthy, V. & Deepthi Achuthavarier. (2011). Intraseasonal oscillations of the monsoon circulation over South Asia. Climate Dynamics. 38(11-12). 2335–2353. 19 indexed citations
13.
Prabha, Thara V., et al.. (2011). Aerosol and cloud feedbacks on surface energy balance over selected regions of the Indian subcontinent. Journal of Geophysical Research Atmospheres. 117(D4). 20 indexed citations
14.
Achuthavarier, Deepthi & V. Krishnamurthy. (2010). Role of Indian and Pacific SST in Indian Summer Monsoon Intraseasonal Variability. Journal of Climate. 24(12). 2915–2930. 29 indexed citations
15.
Achuthavarier, Deepthi & V. Krishnamurthy. (2010). Daily modes of South Asian summer monsoon variability in the NCEP climate forecast system. Climate Dynamics. 36(9-10). 1941–1958. 18 indexed citations
16.
Achuthavarier, Deepthi & V. Krishnamurthy. (2010). Relation between intraseasonal and interannual variability of the South Asian monsoon in the National Centers for Environmental Predictions forecast systems. Journal of Geophysical Research Atmospheres. 115(D8). 29 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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