J. V. Ratnam

1.7k total citations
46 papers, 1.3k citations indexed

About

J. V. Ratnam is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, J. V. Ratnam has authored 46 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Global and Planetary Change, 39 papers in Atmospheric Science and 13 papers in Oceanography. Recurrent topics in J. V. Ratnam's work include Climate variability and models (41 papers), Meteorological Phenomena and Simulations (35 papers) and Tropical and Extratropical Cyclones Research (16 papers). J. V. Ratnam is often cited by papers focused on Climate variability and models (41 papers), Meteorological Phenomena and Simulations (35 papers) and Tropical and Extratropical Cyclones Research (16 papers). J. V. Ratnam collaborates with scholars based in Japan, India and South Africa. J. V. Ratnam's co-authors include Swadhin K. Behera, Toshio Yamagata, Satyaban B. Ratna, Yukio Masumoto, K K Saji Kumar, M. Rajeevan, Akshara Kaginalkar, Filippo Giorgi, Stefano Cozzini and Takeshi Doi and has published in prestigious journals such as Scientific Reports, Journal of Climate and Geophysical Research Letters.

In The Last Decade

J. V. Ratnam

45 papers receiving 1.2k citations

Peers

J. V. Ratnam

GPC

OCEAN

EEBS

Christophe Lavaysse France

Saroj K. Mishra India

Ying Han China

Susmitha Joseph India

Romain Roehrig France

Paul‐Antoine Michelangeli France

Sandeep Sahany India

D. R. Pattanaik India

Karl Braganza Australia

Sajani Surendran India

Christophe Lavaysse France

J. V. Ratnam

1.3k ×1.2

GPC

1.1k ×1.2

135 ×0.5

OCEAN

74 ×0.6

116 ×1.3

EEBS

Citations per year, relative to J. V. Ratnam J. V. Ratnam (= 1×) peers Christophe Lavaysse

Countries citing papers authored by J. V. Ratnam

Since Specialization

Citations

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

Fields of papers citing papers by J. V. Ratnam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. V. Ratnam. 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 J. V. Ratnam. The network helps show where J. V. Ratnam may publish in the future.

Co-authorship network of co-authors of J. V. Ratnam

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

All Works

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20 of 20 papers shown

Ratnam, J. V., et al.. (2024). Skillful prediction of the maximum air temperature over India using a seasonal prediction system. Climate Dynamics. 62(10). 9861–9879.

Ratnam, J. V., Swadhin K. Behera, Masami Nonaka, Patrick Martineau, & Kalpesh Patil. (2023). Predicting maximum temperatures over India 10-days ahead using machine learning models. Scientific Reports. 13(1). 17208–17208. 7 indexed citations

Patil, Kalpesh, Takeshi Doi, J. V. Ratnam, & Swadhin K. Behera. (2023). Deep learning for skillful long-lead ENSO forecasts. Frontiers in Climate. 4. 18 indexed citations

Minakawa, Noboru, Yoonhee Kim, J. V. Ratnam, et al.. (2023). Utilizing a novel high-resolution malaria dataset for climate-informed predictions with a deep learning transformer model. Scientific Reports. 13(1). 23091–23091. 3 indexed citations

Ratnam, J. V., Takeshi Doi, Ingo Richter, et al.. (2022). Using Selected Members of a Large Ensemble to Improve Prediction of Surface Air Temperature Anomalies Over Japan in the Winter Months From Mid-Autumn. Frontiers in Climate. 4. 2 indexed citations

Maity, Rajib, et al.. (2020). Long-lead Prediction of ENSO Modoki Index using Machine Learning algorithms. Scientific Reports. 10(1). 365–365. 33 indexed citations

Ratnam, J. V., Henk A. Dijkstra, & Swadhin K. Behera. (2020). A machine learning based prediction system for the Indian Ocean Dipole. Scientific Reports. 10(1). 284–284. 28 indexed citations

Ratnam, J. V., Henk A. Dijkstra, Takeshi Doi, et al.. (2019). Improving seasonal forecasts of air temperature using a genetic algorithm. Scientific Reports. 9(1). 12781–12781. 11 indexed citations

Kim, Yoonhee, J. V. Ratnam, Takeshi Doi, et al.. (2019). Malaria predictions based on seasonal climate forecasts in South Africa: A time series distributed lag nonlinear model. Scientific Reports. 9(1). 17882–17882. 36 indexed citations

10.

Behera, Swadhin K. & J. V. Ratnam. (2018). Quasi-asymmetric response of the Indian summer monsoon rainfall to opposite phases of the IOD. Scientific Reports. 8(1). 123–123. 51 indexed citations

11.

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

12.

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

13.

Ratnam, J. V., et al.. (2016). Validation of the WRF regional climate model over the subregions of Southeast Asia: climatology and interannual variability. Climate Research. 71(3). 263–280. 24 indexed citations

14.

Ratnam, J. V., Swadhin K. Behera, Yukio Masumoto, & Toshio Yamagata. (2014). Remote Effects of El Niño and Modoki Events on the Austral Summer Precipitation of Southern Africa. Journal of Climate. 27(10). 3802–3815. 91 indexed citations

15.

Ratnam, J. V., Swadhin K. Behera, & Toshio Yamagata. (2014). Role of Cross-Equatorial Waves in Maintaining Long Periods of Low Convective Activity over Southern Africa. Journal of the Atmospheric Sciences. 72(2). 682–692. 5 indexed citations

16.

Ratnam, J. V., Swadhin K. Behera, Yukio Masumoto, Koji Takahashi, & Toshio Yamagata. (2010). Pacific Ocean origin for the 2009 Indian summer monsoon failure. Geophysical Research Letters. 37(7). 46 indexed citations

17.

Ratnam, J. V., et al.. (2008). Simulation of 2006 monsoon using T170L42 AGCM: sensitivity to convective parameterization schemes. International Journal of Climatology. 29(2). 289–303. 6 indexed citations

18.

Ratnam, J. V., et al.. (2007). Experimental Seasonal Forecast of Monsoon 2005 Using T170L42 AGCM on PARAM Padma. Pure and Applied Geophysics. 164(8-9). 1641–1665. 6 indexed citations

19.

Ratnam, J. V. & K K Saji Kumar. (2005). Sensitivity of the Simulated Monsoons of 1987 and 1988 to Convective Parameterization Schemes in MM5. Journal of Climate. 18(14). 2724–2743. 82 indexed citations

20.

McGrath, Ray, P. Nolan, J. V. Ratnam, et al.. (2005). c4i Community Climate Change Consortium for Ireland 2004 Annual Report. Trinity's Access to Research Output (TARA) (Trinity College Dublin). 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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