Sundararaman Gopalakrishnan

2.5k total citations
67 papers, 1.8k citations indexed

About

Sundararaman Gopalakrishnan is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Sundararaman Gopalakrishnan has authored 67 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Atmospheric Science, 33 papers in Global and Planetary Change and 26 papers in Oceanography. Recurrent topics in Sundararaman Gopalakrishnan's work include Tropical and Extratropical Cyclones Research (52 papers), Meteorological Phenomena and Simulations (49 papers) and Climate variability and models (25 papers). Sundararaman Gopalakrishnan is often cited by papers focused on Tropical and Extratropical Cyclones Research (52 papers), Meteorological Phenomena and Simulations (49 papers) and Climate variability and models (25 papers). Sundararaman Gopalakrishnan collaborates with scholars based in United States, India and United Kingdom. Sundararaman Gopalakrishnan's co-authors include Frank D. Marks, Xuejin Zhang, Vijay Tallapragada, Jun A. Zhang, Jian‐Wen Bao, Hua Chen, Robert Atlas, Maithili Sharan, Kao‐San Yeh and Ghassan J. Alaka and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Geophysical Research Letters.

In The Last Decade

Sundararaman Gopalakrishnan

63 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sundararaman Gopalakrishnan United States 25 1.7k 1.1k 712 196 53 67 1.8k
U. C. Mohanty India 21 1.2k 0.7× 1.0k 0.9× 413 0.6× 96 0.5× 85 1.6× 92 1.4k
Christopher M. Rozoff United States 20 1.4k 0.8× 1.1k 1.0× 598 0.8× 354 1.8× 56 1.1× 40 1.7k
David P. Jorgensen United States 22 1.7k 1.0× 1.2k 1.1× 368 0.5× 185 0.9× 67 1.3× 47 1.8k
Sim D. Aberson United States 31 2.4k 1.4× 1.5k 1.4× 904 1.3× 116 0.6× 87 1.6× 56 2.4k
Falko Judt United States 13 1.0k 0.6× 905 0.8× 391 0.5× 29 0.1× 43 0.8× 27 1.3k
Qingnong Xiao United States 25 2.5k 1.4× 1.9k 1.7× 612 0.9× 287 1.5× 32 0.6× 41 2.6k
Burghard Brümmer Germany 22 1.3k 0.7× 778 0.7× 425 0.6× 388 2.0× 132 2.5× 58 1.6k
Heather D. Reeves United States 18 1.2k 0.7× 802 0.7× 226 0.3× 159 0.8× 24 0.5× 39 1.3k
Jean‐François Geleyn France 17 1.4k 0.8× 1.4k 1.2× 145 0.2× 242 1.2× 33 0.6× 23 1.6k
Eric A. Hendricks United States 16 1.3k 0.7× 853 0.8× 617 0.9× 101 0.5× 53 1.0× 47 1.3k

Countries citing papers authored by Sundararaman Gopalakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Sundararaman Gopalakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sundararaman Gopalakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Sundararaman Gopalakrishnan. A scholar is included among the top collaborators of Sundararaman Gopalakrishnan 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 Sundararaman Gopalakrishnan. Sundararaman Gopalakrishnan 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.
Chen, Jan‐Huey, Timothy Marchok, Morris A. Bender, et al.. (2025). Closing the Gap—Hurricane Prediction Advances in the U.S. FV3-Based Models. Bulletin of the American Meteorological Society. 106(7). E1211–E1220. 1 indexed citations
2.
Mohanty, U. C., Raghu Nadimpalli, Akhil Srivastava, et al.. (2025). The History of Mesoscale Severe Weather Monitoring and Forecasting in India. MAUSAM. 76(1). 79–102. 2 indexed citations
3.
Alaka, Ghassan J., Jason A. Sippel, Zhan Zhang, et al.. (2024). Lifetime Performance of the Operational Hurricane Weather Research and Forecasting Model (HWRF) for North Atlantic Tropical Cyclones. Bulletin of the American Meteorological Society. 105(6). E932–E961. 5 indexed citations
4.
Black, Robert A., et al.. (2020). Ice Particle Size Distributions From Composites of Microphysics Observations Collected in Tropical Cyclones. Geophysical Research Letters. 47(15). 2 indexed citations
5.
Marks, Frank D., et al.. (2020). Evaluation of Hurricane Harvey (2017) Rainfall in Deterministic and Probabilistic HWRF Forecasts. Atmosphere. 11(6). 666–666. 16 indexed citations
6.
Nadimpalli, Raghu, Krishna K. Osuri, Frank D. Marks, et al.. (2019). On the processes influencing rapid intensity changes of tropical cyclones over the Bay of Bengal. Scientific Reports. 9(1). 3382–3382. 29 indexed citations
7.
Zhu, Ping, Jun A. Zhang, Sundararaman Gopalakrishnan, et al.. (2019). Role of eyewall and rainband eddy forcing in tropical cyclone intensification. Atmospheric chemistry and physics. 19(22). 14289–14310. 32 indexed citations
8.
Alaka, Ghassan J., Xuejin Zhang, Sundararaman Gopalakrishnan, et al.. (2019). Track Uncertainty in High-Resolution HWRF Ensemble Forecasts of Hurricane Joaquin. Weather and Forecasting. 34(6). 1889–1908. 22 indexed citations
9.
Kieu, Chanh, et al.. (2018). On the growth of intensity forecast errors in the operational hurricane weather research and forecasting (HWRF) model. Quarterly Journal of the Royal Meteorological Society. 144(715). 1803–1819. 10 indexed citations
10.
Zhu, Ping, et al.. (2017). A Top‐Down Pathway to Secondary Eyewall Formation in Simulated Tropical Cyclones. Journal of Geophysical Research Atmospheres. 123(1). 174–197. 29 indexed citations
11.
Gopalakrishnan, Sundararaman & U. C. Mohanty. (2016). Advanced Numerical Modeling and Data Assimilation Techniques for Tropical Cyclone Prediction. DIAL (Catholic University of Leuven). 22 indexed citations
12.
Halliwell, George R., Sundararaman Gopalakrishnan, Frank D. Marks, & Debra A. Willey. (2014). Idealized Study of Ocean Impacts on Tropical Cyclone Intensity Forecasts. Monthly Weather Review. 143(4). 1142–1165. 37 indexed citations
13.
Bernardet, Lígia, Vijay Tallapragada, Shaowu Bao, et al.. (2014). Community Support and Transition of Research to Operations for the Hurricane Weather Research and Forecasting Model. Bulletin of the American Meteorological Society. 96(6). 953–960. 28 indexed citations
14.
Tallapragada, Vijay, Lígia Bernardet, Mrinal K. Biswas, & Sundararaman Gopalakrishnan. (2013). Hurricane Weather Research and Forecasting (HWRF) Model: 2013 Scientific Documentation. 20 indexed citations
15.
Zhang, Jun A., Sundararaman Gopalakrishnan, Frank D. Marks, Robert F. Rogers, & Vijay Tallapragada. (2012). A Developmental Framework for Improving Hurricane Model Physical Parameterizations Using Aircraft Observations. SHILAP Revista de lepidopterología. 1(4). 419–429. 24 indexed citations
16.
Gopalakrishnan, Sundararaman, Stanley B. Goldenberg, Xuejin Zhang, et al.. (2012). Toward Improving High-Resolution Numerical Hurricane Forecasting: Influence of Model Horizontal Grid Resolution, Initialization, and Physics. Weather and Forecasting. 27(3). 647–666. 126 indexed citations
17.
Gopalakrishnan, Sundararaman. (2006). NCEP's Two-way-Interactive-Moving-Nest NMM-WRF modeling system for Hurricane Forecasting. 15 indexed citations
18.
Gopalakrishnan, Sundararaman, et al.. (2005). A Model Study of the Strong and Weak Wind, Stably Stratified Nocturnal Boundary Layer: Influence of Gentle Slopes. Pure and Applied Geophysics. 162(10). 1795–1809. 1 indexed citations
19.
Gopalakrishnan, Sundararaman & Maithili Sharan. (1997). A Lagrangian particle model for marginally heavy gas dispersion. Atmospheric Environment. 31(20). 3369–3382. 13 indexed citations
20.
Sharan, Maithili & Sundararaman Gopalakrishnan. (1997). Comparative Evaluation of Eddy Exchange Coefficients for Strong and Weak Wind Stable Boundary Layer Modeling. Journal of Applied Meteorology. 36(5). 545–559. 21 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

Breakdown of academic impact, for papers by U. C. Mohanty Breakdown of academic impact, for papers by Christopher M. Rozoff Breakdown of academic impact, for papers by David P. Jorgensen Breakdown of academic impact, for papers by Sim D. Aberson Breakdown of academic impact, for papers by Falko Judt Breakdown of academic impact, for papers by Qingnong Xiao Breakdown of academic impact, for papers by Burghard Brümmer Breakdown of academic impact, for papers by Heather D. Reeves Breakdown of academic impact, for papers by Jean‐François Geleyn Breakdown of academic impact, for papers by Eric A. Hendricks
Rankless by CCL
2026