Sudhir Nadiga

10.9k total citations · 2 hit papers
9 papers, 3.9k citations indexed

About

Sudhir Nadiga is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Sudhir Nadiga has authored 9 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oceanography, 6 papers in Atmospheric Science and 5 papers in Global and Planetary Change. Recurrent topics in Sudhir Nadiga's work include Oceanographic and Atmospheric Processes (6 papers), Climate variability and models (5 papers) and Meteorological Phenomena and Simulations (5 papers). Sudhir Nadiga is often cited by papers focused on Oceanographic and Atmospheric Processes (6 papers), Climate variability and models (5 papers) and Meteorological Phenomena and Simulations (5 papers). Sudhir Nadiga collaborates with scholars based in United States. Sudhir Nadiga's co-authors include Malaquías Peña, Shrinivas Moorthi, David Behringer, Wanqiu Wang, Suranjana Saha, Patrick Tripp, Emily Becker, Jesse Meng, Qin Zhang and Mark Iredell and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Monthly Weather Review.

In The Last Decade

Sudhir Nadiga

9 papers receiving 3.8k citations

Hit Papers

The NCEP Climate Forecast System Version 2 2006 2026 2012 2019 2013 2006 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sudhir Nadiga United States 7 3.1k 3.0k 1.4k 301 287 9 3.9k
Malaquías Peña United States 16 3.5k 1.1× 3.4k 1.1× 1.4k 0.9× 357 1.2× 320 1.1× 43 4.3k
Xingren Wu United States 17 2.5k 0.8× 2.9k 1.0× 1.1k 0.7× 244 0.8× 253 0.9× 41 3.6k
David Behringer United States 21 3.2k 1.0× 3.0k 1.0× 2.1k 1.5× 279 0.9× 243 0.8× 36 4.4k
Emily Becker United States 19 3.3k 1.1× 3.0k 1.0× 1.4k 0.9× 331 1.1× 326 1.1× 43 4.1k
Shrinivas Moorthi United States 19 4.5k 1.5× 4.5k 1.5× 1.7k 1.2× 353 1.2× 305 1.1× 38 5.5k
Mark Iredell United States 11 2.2k 0.7× 2.4k 0.8× 976 0.7× 254 0.8× 226 0.8× 18 3.3k
Yu-Tai Hou United States 10 2.3k 0.7× 2.3k 0.8× 901 0.6× 263 0.9× 217 0.8× 12 3.0k
Patrick Tripp United States 3 2.0k 0.6× 2.0k 0.7× 874 0.6× 226 0.8× 216 0.8× 3 2.6k
Frauke Feser Germany 24 3.2k 1.0× 3.0k 1.0× 644 0.4× 230 0.8× 264 0.9× 55 4.0k
Yang Feng Canada 28 1.9k 0.6× 1.8k 0.6× 959 0.7× 267 0.9× 182 0.6× 48 2.9k

Countries citing papers authored by Sudhir Nadiga

Since Specialization
Citations

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

Fields of papers citing papers by Sudhir Nadiga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudhir Nadiga

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

All Works

9 of 9 papers shown
1.
Krasnopolsky, Vladimir M., Sudhir Nadiga, Avichal Mehra, & E. J. Bayler. (2018). Adjusting Neural Network to a Particular Problem: Neural Network-Based Empirical Biological Model for Chlorophyll Concentration in the Upper Ocean. Applied Computational Intelligence and Soft Computing. 2018. 1–10. 7 indexed citations
2.
Kim, Hae-Cheol, Sudhir Nadiga, SeungHyun Son, et al.. (2017). Implications of ocean color in the upper water thermal structure at NINO3.4 region: a sensitivity study for optical algorithms and ocean color variabilities. GIScience & Remote Sensing. 55(4). 568–582. 3 indexed citations
3.
Nadiga, Sudhir, Vladimir M. Krasnopolsky, E. J. Bayler, et al.. (2016). Neural network technique for gap-filling satellite ocean color observations.. NOAA Institutional Repository. 1 indexed citations
4.
Krasnopolsky, Vladimir M., Sudhir Nadiga, Avichal Mehra, E. J. Bayler, & David Behringer. (2015). Neural Networks Technique for Filling Gaps in Satellite Measurements: Application to Ocean Color Observations. Computational Intelligence and Neuroscience. 2016. 1–9. 36 indexed citations
5.
Saha, Suranjana, Shrinivas Moorthi, Xingren Wu, et al.. (2013). The NCEP Climate Forecast System Version 2. Journal of Climate. 27(6). 2185–2208. 2599 indexed citations breakdown →
6.
Xue, Yan, Boyin Huang, Zeng‐Zhen Hu, et al.. (2010). An assessment of oceanic variability in the NCEP climate forecast system reanalysis. Climate Dynamics. 37(11-12). 2511–2539. 145 indexed citations
7.
Saha, Subodh Kumar, Sudhir Nadiga, W. Wang, et al.. (2006). The NCEP Climate Forecast System. Journal of Climate. 19(15). 3483–3517. 957 indexed citations breakdown →
8.
Wang, Wanqiu, Suranjana Saha, Hua‐Lu Pan, Sudhir Nadiga, & Glenn H. White. (2005). Simulation of ENSO in the New NCEP Coupled Forecast System Model (CFS03). Monthly Weather Review. 133(6). 1574–1593. 89 indexed citations
9.
Yan, Xiao‐Hai, Pearn P. Niiler, Sudhir Nadiga, Robert H. Stewart, & Daniel R. Cayan. (1995). Seasonal heat storage in the North Pacific: 1976–1989. Journal of Geophysical Research Atmospheres. 100(C4). 6899–6926. 20 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026