Satyaban B. Ratna

1.0k total citations
34 papers, 770 citations indexed

About

Satyaban B. Ratna is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Satyaban B. Ratna has authored 34 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Global and Planetary Change, 27 papers in Atmospheric Science and 11 papers in Oceanography. Recurrent topics in Satyaban B. Ratna's work include Climate variability and models (29 papers), Meteorological Phenomena and Simulations (18 papers) and Tropical and Extratropical Cyclones Research (17 papers). Satyaban B. Ratna is often cited by papers focused on Climate variability and models (29 papers), Meteorological Phenomena and Simulations (18 papers) and Tropical and Extratropical Cyclones Research (17 papers). Satyaban B. Ratna collaborates with scholars based in India, Japan and United Kingdom. Satyaban B. Ratna's co-authors include Swadhin K. Behera, J. V. Ratnam, Toshio Yamagata, Annalisa Cherchi, M. Rajeevan, Timothy J. Osborn, Manoj Joshi, Venkata Bhaskar Rao Dodla, B. Abish and Kazutaka Takahashi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Climate.

In The Last Decade

Satyaban B. Ratna

29 papers receiving 764 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satyaban B. Ratna India 14 665 547 158 88 71 34 770
Julien Crétat France 19 847 1.3× 756 1.4× 169 1.1× 40 0.5× 65 0.9× 29 955
Fei Ge China 15 563 0.8× 475 0.9× 97 0.6× 48 0.5× 49 0.7× 27 652
Lijuan Hua China 14 612 0.9× 467 0.9× 107 0.7× 59 0.7× 158 2.2× 41 753
Doo‐Sun R. Park South Korea 18 856 1.3× 956 1.7× 287 1.8× 115 1.3× 80 1.1× 55 1.1k
Yani Zhu China 7 556 0.8× 475 0.9× 73 0.5× 60 0.7× 123 1.7× 11 636
H. M. Hasanean Saudi Arabia 10 400 0.6× 295 0.5× 79 0.5× 25 0.3× 74 1.0× 31 526
Xia Qü China 19 916 1.4× 839 1.5× 362 2.3× 37 0.4× 47 0.7× 62 1.0k
Ernesto Caetano Mexico 12 358 0.5× 431 0.8× 55 0.3× 143 1.6× 90 1.3× 32 548
Yumi Cha South Korea 10 490 0.7× 432 0.8× 122 0.8× 24 0.3× 35 0.5× 49 582
Cornel Soci United Kingdom 9 463 0.7× 457 0.8× 82 0.5× 39 0.4× 107 1.5× 12 645

Countries citing papers authored by Satyaban B. Ratna

Since Specialization
Citations

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

Fields of papers citing papers by Satyaban B. Ratna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Satyaban B. Ratna. 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 Satyaban B. Ratna. The network helps show where Satyaban B. Ratna may publish in the future.

Co-authorship network of co-authors of Satyaban B. Ratna

This figure shows the co-authorship network connecting the top 25 collaborators of Satyaban B. Ratna. A scholar is included among the top collaborators of Satyaban B. Ratna 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 Satyaban B. Ratna. Satyaban B. Ratna 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.
Ratna, Satyaban B., et al.. (2026). Multi-dimensional changes in drought patterns across India. Climatic Change. 179(1).
2.
3.
Chattopadhyay, Rajib, et al.. (2025). Asymmetrical Impact of El Niño to La Niña Transition in the Tropical Pacific Basin on Hot Extremes over India. ATMOSPHERE-OCEAN. 63(3). 201–222.
4.
Ratna, Satyaban B., et al.. (2025). Urban Heat Dynamics in Pune: The Influence of Land Cover and Local Climate. The Open Repository - Binghamton (Binghamton University). 7(1).
5.
Ratna, Satyaban B., et al.. (2024). Indian summer monsoon rainfall response to two distinct evolutions of La Niña events. International Journal of Climatology. 44(12). 4405–4427. 3 indexed citations
6.
Ratna, Satyaban B., et al.. (2024). Combined influence of El Niño, IOD and MJO on the Indian Summer Monsoon Rainfall: Case Study for the years 1997 and 2015. Atmospheric Research. 299. 107214–107214. 9 indexed citations
7.
Sahu, Netrananda, et al.. (2024). A bibliometric analysis for Indian summer monsoon variability. Spatial Information Research. 32(5). 623–639. 1 indexed citations
8.
Goodess, C. M., Satyaban B. Ratna, Oscar Brousse, et al.. (2021). Climate change projections for sustainable and healthy cities. SHILAP Revista de lepidopterología. 2(1). 812–812. 14 indexed citations
9.
Ratna, Satyaban B., et al.. (2020). The Extreme Positive Indian Ocean Dipole of 2019 and Associated Indian Summer Monsoon Rainfall Response. Geophysical Research Letters. 48(2). 103 indexed citations
10.
Ratna, Satyaban B., Timothy J. Osborn, Manoj Joshi, Bao Yang, & Jianglin Wang. (2019). Identifying teleconnections and multidecadal variability of East Asian surface temperature during the last millennium in CMIP5 simulations. Climate of the past. 15(5). 1825–1844. 14 indexed citations
11.
Ratna, Satyaban B., Timothy J. Osborn, & Manoj Joshi. (2018). Multidecadal climate variability of East Asia during the last millennium: roles of external forcing and internal variability. AGUFM. 2018. 1 indexed citations
12.
Abish, B., Annalisa Cherchi, & Satyaban B. Ratna. (2017). ENSO and the recent warming of the Indian Ocean. International Journal of Climatology. 38(1). 203–214. 27 indexed citations
13.
Ratnam, J. V., Swadhin K. Behera, H. Annamalai, et al.. (2016). ENSO’s far reaching connection to Indian cold waves. Scientific Reports. 6(1). 37657–37657. 19 indexed citations
14.
Ratnam, J. V., Swadhin K. Behera, Satyaban B. Ratna, M. Rajeevan, & Toshio Yamagata. (2016). Anatomy of Indian heatwaves. Scientific Reports. 6(1). 24395–24395. 185 indexed citations
15.
Ratna, Satyaban B., J. V. Ratnam, Swadhin K. Behera, Takeshi Doi, & Toshio Yamagata. (2016). Downscaled prediction of extreme seasonal climate over Southeast Asia using a regional climate model. 375–380. 2 indexed citations
16.
Ratna, Satyaban B., Annalisa Cherchi, P. V. Joseph, et al.. (2015). Moisture variability over the Indo-Pacific region and its influence on the Indian summer monsoon rainfall. Climate Dynamics. 46(3-4). 949–965. 47 indexed citations
17.
Ratna, Satyaban B., et al.. (2014). Moisture trend over the Arabian Sea and its influence on the Indian summer monsoon rainfall.. 1 indexed citations
18.
Dodla, Venkata Bhaskar Rao, Satyaban B. Ratna, & Srinivas Desamsetti. (2012). An assessment of cumulus parameterization schemes in the short range prediction of rainfall during the onset phase of the Indian Southwest Monsoon using MM5 Model. Atmospheric Research. 120-121. 249–267. 13 indexed citations
19.
Badarinath, K. V. S., Mahalakshmi D.V., & Satyaban B. Ratna. (2012). Influence of Land Use Land Cover on Cyclone Track Prediction – A Study During Aila Cyclone. UEA Digital Repository (University of East Anglia). 6(1). 33–41. 10 indexed citations
20.
Ratna, Satyaban B., D. R. Sikka, Mohit Dalvi, & J. V. Ratnam. (2010). Dynamical simulation of Indian summer monsoon circulation, rainfall and its interannual variability using a high resolution atmospheric general circulation model. International Journal of Climatology. 31(13). 1927–1942. 26 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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