Santha Akella

9.8k total citations
25 papers, 351 citations indexed

About

Santha Akella is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Santha Akella has authored 25 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Atmospheric Science, 15 papers in Global and Planetary Change and 13 papers in Oceanography. Recurrent topics in Santha Akella's work include Meteorological Phenomena and Simulations (15 papers), Climate variability and models (12 papers) and Oceanographic and Atmospheric Processes (11 papers). Santha Akella is often cited by papers focused on Meteorological Phenomena and Simulations (15 papers), Climate variability and models (12 papers) and Oceanographic and Atmospheric Processes (11 papers). Santha Akella collaborates with scholars based in United States, France and Australia. Santha Akella's co-authors include I. M. Navon, Ricardo Todling, Max J. Suárez, Xinyang Chen, Chelle Gentemann, Sergey Frolov, Peter J. Minnett, Matthew Martin, G. Vernières and Andrea Storto and has published in prestigious journals such as Bulletin of the American Meteorological Society, Quarterly Journal of the Royal Meteorological Society and Wear.

In The Last Decade

Santha Akella

23 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Santha Akella United States 10 215 196 186 42 36 25 351
Ehouarn Simon France 9 138 0.6× 197 1.0× 193 1.0× 57 1.4× 32 0.9× 22 364
G. Kivman Germany 8 221 1.0× 206 1.1× 251 1.3× 29 0.7× 18 0.5× 14 403
Xianqing Lü China 9 156 0.7× 101 0.5× 335 1.8× 17 0.4× 14 0.4× 21 396
Tsubasa Kodaira Japan 12 233 1.1× 78 0.4× 265 1.4× 11 0.3× 52 1.4× 32 396
Kathleen Dohan United States 11 214 1.0× 191 1.0× 376 2.0× 35 0.8× 22 0.6× 13 469
Boon S. Chua United States 11 341 1.6× 286 1.5× 294 1.6× 53 1.3× 28 0.8× 17 443
Hans Ngodock United States 14 290 1.3× 265 1.4× 321 1.7× 46 1.1× 29 0.8× 36 448
Shoichi Kizu Japan 14 350 1.6× 452 2.3× 507 2.7× 19 0.5× 28 0.8× 30 663
Hwa Chien Taiwan 11 150 0.7× 58 0.3× 233 1.3× 33 0.8× 46 1.3× 33 372
Lucile Gaultier France 8 97 0.5× 98 0.5× 243 1.3× 14 0.3× 21 0.6× 21 296

Countries citing papers authored by Santha Akella

Since Specialization
Citations

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

Fields of papers citing papers by Santha Akella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Santha Akella

This figure shows the co-authorship network connecting the top 25 collaborators of Santha Akella. A scholar is included among the top collaborators of Santha Akella 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 Santha Akella. Santha Akella 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.
Simon, Sven, Neil P Barton, Cory Baggett, et al.. (2025). Advancing NOAA’s Subseasonal and Seasonal Applications and Enhancing Collaboration among Stakeholders, Modelers, and Researchers. Bulletin of the American Meteorological Society. 106(7). E1295–E1302.
2.
Hackert, Eric, et al.. (2023). Impact of the TAO/TRITON Array on Reanalyses and Predictions of the 2015 El Niño. Journal of Geophysical Research Oceans. 128(11). 2 indexed citations
3.
Akella, Santha, et al.. (2023). Direct assimilation of AVHRR satellite radiance measurements in a reanalysis system. Quarterly Journal of the Royal Meteorological Society. 150(758). 25–45.
4.
Minnett, Peter J., et al.. (2021). Saharan Dust Effects on North Atlantic Sea‐Surface Skin Temperatures. Journal of Geophysical Research Oceans. 126(4). 5 indexed citations
5.
Molod, Andrea, Santha Akella, Lauren C. Andrews, et al.. (2020). GEOS S2S Version 3: The New NASA/GMAO High Resolution Seasonal Prediction System. 1 indexed citations
6.
Gentemann, Chelle, J. P. Scott, Piero L. F. Mazzini, et al.. (2020). Saildrone: Adaptively Sampling the Marine Environment. Bulletin of the American Meteorological Society. 101(6). E744–E762. 48 indexed citations
7.
Kim, Minjeong, et al.. (2020). Assimilating GCOM-W1 AMSR2 and TRMM TMI Radiance Data in GEOS Analysis and Reanalysis. NASA Technical Reports Server (NASA). 1 indexed citations
8.
Gentemann, Chelle, J. P. Scott, Piero L. F. Mazzini, et al.. (2020). Saildrone: Adaptively Sampling the Marine Environment. Bulletin of the American Meteorological Society. 101(8). 698–702. 2 indexed citations
9.
Gentemann, Chelle & Santha Akella. (2018). Evaluation of NASA GEOS‐ADAS Modeled Diurnal Warming Through Comparisons to SEVIRI and AMSR2 SST Observations. Journal of Geophysical Research Oceans. 123(2). 1364–1375. 9 indexed citations
10.
Kim, Jong, et al.. (2018). Preliminary Evaluation of Influence of Aerosols on the Simulation of Brightness Temperature in the NASA's Goddard Earth Observing System Atmospheric Data Assimilation System. NASA Technical Reports Server (NASA). 3 indexed citations
11.
Kim, Minjeong, et al.. (2018). Assimilating GCOM-W AMSR2 Radiance Data in Future GEOS Reanalysis. NASA Technical Reports Server (NASA). 1 indexed citations
12.
Penny, Stephen G., Santha Akella, Mark Buehner, et al.. (2017). Coupled Data Assimilation for Integrated Earth System Analysis and Prediction: Goals, Challenges, and Recommendations. 31 indexed citations
13.
Akella, Santha, Ricardo Todling, & Max J. Suárez. (2016). Assimilation for skin SST in the NASA GEOS atmospheric data assimilation system. Quarterly Journal of the Royal Meteorological Society. 143(703). 1032–1046. 30 indexed citations
14.
Brassington, Gary B., Matthew Martin, Hendrik L. Tolman, et al.. (2015). Progress and challenges in short- to medium-range coupled prediction. Journal of Operational Oceanography. 8(sup2). s239–s258. 34 indexed citations
15.
Vernières, G., et al.. (2014). The impact of the assimilation of Aquarius sea surface salinity data in the GEOS ocean data assimilation system. Journal of Geophysical Research Oceans. 119(10). 6974–6987. 23 indexed citations
16.
Akella, Santha. (2011). Reservoir Multiscale Data Assimilation Using the Ensemble Kalman Filter. Applied Mathematics. 2(2). 165–180. 2 indexed citations
17.
Chen, Xinyang, Santha Akella, & I. M. Navon. (2011). A dual‐weighted trust‐region adaptive POD 4‐D Var applied to a finite‐volume shallow water equations model on the sphere. International Journal for Numerical Methods in Fluids. 68(3). 377–402. 24 indexed citations
18.
Efendiev, Yalchin, Akhil Datta‐Gupta, & Santha Akella. (2010). ASSIMILATION OF COARSE-SCALEDATAUSINGTHE ENSEMBLE KALMAN FILTER. International Journal for Uncertainty Quantification. 1(1). 49–76. 1 indexed citations
19.
Akella, Santha & I. M. Navon. (2005). A comparative study of the performance of high resolution advection schemes in the context of data assimilation. International Journal for Numerical Methods in Fluids. 51(7). 719–748. 12 indexed citations
20.
Venkateswarlu, K., et al.. (1990). Three-dimensional laminar and turbulent lubrication in journal bearings. Wear. 136(2). 263–279. 5 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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