Santha Akella

9.8k citations
25 papers · 351 indexed · h-index 10

Santha Akella

23 papers receiving 344 citations

Peers

Santha Akella
Comparison fields: 5 of 57
  • Oceanography 186
  • Atmospheric Science 215
  • Global and Planetary Change 196
  • Environmental Engineering 42
  • Ocean Engineering 36
Replace G. Kivman with:
G. Kivman Germany
Ehouarn Simon France
Hans Ngodock United States
Boon S. Chua United States
Lucile Gaultier France
Shoichi Kizu Japan
Kathleen Dohan United States
Guangjun Xu China
Xianqing Lü China
Mercedes N. Lakhtakia United States
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Citations per field
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Citations per year

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

The 25 scholars most cited alongside Santha Akella, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Santha Akella Line = papers co-authored together Santha Akella links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20232
3 20230
4 20215
5
GEOS S2S Version 3: The New NASA/GMAO High Resolution Seasonal Prediction System
20201
6 202048
7
Assimilating GCOM-W1 AMSR2 and TRMM TMI Radiance Data in GEOS Analysis and Reanalysis
20201
8 20202
9 20189
10
Preliminary Evaluation of Influence of Aerosols on the Simulation of Brightness Temperature in the NASA's Goddard Earth Observing System Atmospheric Data Assimilation System
20183
11
Assimilating GCOM-W AMSR2 Radiance Data in Future GEOS Reanalysis
20181
12
Coupled Data Assimilation for Integrated Earth System Analysis and Prediction: Goals, Challenges, and Recommendations
201731
13 201630
14 201534
15 201423
16 20112
17 201124
18 20101
19 200512
20 19905

About Santha Akella

Santha Akella is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change, having authored 25 papers that have together received 351 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (15 papers), Climate variability and models (12 papers), Oceanographic and Atmospheric Processes (11 papers), Atmospheric and Environmental Gas Dynamics (5 papers), Reservoir Engineering and Simulation Methods (3 papers), Atmospheric aerosols and clouds (2 papers), Advanced Mathematical Modeling in Engineering (2 papers) and Seismic Imaging and Inversion Techniques (2 papers). The work is most often cited by research in Oceanography (186 citations), Atmospheric Science (215 citations) and Global and Planetary Change (196 citations). Santha Akella has collaborated with scholars based in United States, France and Australia. Frequent 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. Their work appears in journals such as Bulletin of the American Meteorological Society, Quarterly Journal of the Royal Meteorological Society and Wear.

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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