Arun Kumar

11.6k total citations
160 papers, 6.1k citations indexed

About

Arun Kumar is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Arun Kumar has authored 160 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 156 papers in Global and Planetary Change, 136 papers in Atmospheric Science and 96 papers in Oceanography. Recurrent topics in Arun Kumar's work include Climate variability and models (151 papers), Meteorological Phenomena and Simulations (94 papers) and Oceanographic and Atmospheric Processes (86 papers). Arun Kumar is often cited by papers focused on Climate variability and models (151 papers), Meteorological Phenomena and Simulations (94 papers) and Oceanographic and Atmospheric Processes (86 papers). Arun Kumar collaborates with scholars based in United States, United Kingdom and China. Arun Kumar's co-authors include Zeng‐Zhen Hu, Wanqiu Wang, Bohua Huang, Jieshun Zhu, Yan Xue, Bhaskar Jha, Mingyue Chen, Hui Wang, Martin P. Hoerling and Michelle L’Heureux and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Scientific Reports and Journal of Climate.

In The Last Decade

Arun Kumar

158 papers receiving 6.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arun Kumar United States 45 5.5k 4.8k 2.9k 195 160 160 6.1k
Huang‐Hsiung Hsu Taiwan 42 4.8k 0.9× 4.5k 0.9× 2.1k 0.7× 209 1.1× 195 1.2× 180 5.4k
June‐Yi Lee South Korea 42 5.7k 1.0× 5.2k 1.1× 2.3k 0.8× 184 0.9× 113 0.7× 125 6.1k
Helmuth Haak Germany 28 3.9k 0.7× 3.6k 0.7× 2.4k 0.8× 170 0.9× 193 1.2× 56 5.0k
Zeng‐Zhen Hu United States 44 5.9k 1.1× 5.2k 1.1× 3.2k 1.1× 264 1.4× 190 1.2× 149 6.5k
Christophe Cassou France 41 5.2k 1.0× 4.6k 1.0× 2.1k 0.7× 183 0.9× 218 1.4× 92 6.0k
Fred Kucharski Italy 41 4.9k 0.9× 4.2k 0.9× 2.6k 0.9× 138 0.7× 105 0.7× 154 5.4k
J. J. Hnilo United States 11 5.9k 1.1× 5.4k 1.1× 1.9k 0.7× 257 1.3× 212 1.3× 16 6.6k
Nick Dunstone United Kingdom 39 5.1k 0.9× 4.6k 0.9× 1.7k 0.6× 188 1.0× 122 0.8× 136 5.9k
Muthuvel Chelliah United States 18 4.7k 0.9× 4.3k 0.9× 1.7k 0.6× 226 1.2× 196 1.2× 29 5.4k
Jason C. Furtado United States 26 4.1k 0.8× 4.0k 0.8× 1.2k 0.4× 153 0.8× 260 1.6× 50 5.1k

Countries citing papers authored by Arun Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Arun Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arun Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Arun Kumar. A scholar is included among the top collaborators of Arun Kumar 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 Arun Kumar. Arun Kumar 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.
Quan, Xiao‐Wei, Jieshun Zhu, Bhaskar Jha, et al.. (2024). A New GFSv15 With FV3 Dynamical Core Based Climate Model Large Ensemble and Its Application to Understanding Climate Variability, and Predictability. Journal of Geophysical Research Atmospheres. 129(8). 3 indexed citations
2.
Kumar, Arun, et al.. (2024). Why Do DJF 2023/24 Upper‐Level 200‐hPa Geopotential Height Forecasts Look Different From the Expected El Niño Response?. Geophysical Research Letters. 51(14). 2 indexed citations
3.
L’Heureux, Michelle, Emily Becker, Brian Brettschneider, et al.. (2024). How Well Do Seasonal Climate Anomalies Match Expected El Niño–Southern Oscillation (ENSO) Impacts?. Bulletin of the American Meteorological Society. 105(8). E1542–E1551. 4 indexed citations
4.
Kumar, Arun, et al.. (2024). Performance Assessment of 4D-VAR Microphysics Schemes in Simulating the Track and Intensity of Super Cyclonic Storm “Amphan”. Pure and Applied Geophysics. 181(11). 3375–3391. 1 indexed citations
5.
Kumar, Arun, et al.. (2024). Role of coastal downwelling on the intensification of post-monsoon tropical cyclones in the Bay of Bengal. Estuarine Coastal and Shelf Science. 299. 108670–108670. 4 indexed citations
6.
Zhu, Jieshun, Wanqiu Wang, Arun Kumar, Yanyun Liu, & David G. DeWitt. (2024). Assessment of a New Global Ocean Reanalysis in ENSO Predictions With NOAA UFS. Geophysical Research Letters. 51(6). 2 indexed citations
7.
Zhu, Jieshun, et al.. (2024). Diurnal Variability of the Upper Ocean Simulated by a Climate Model. Geophysical Research Letters. 51(3). 3 indexed citations
8.
Zhang, Zhenhai, Michael J. DeFlorio, Luca Delle Monache, et al.. (2023). Multi‐Model Subseasonal Prediction Skill Assessment of Water Vapor Transport Associated With Atmospheric Rivers Over the Western U.S.. Journal of Geophysical Research Atmospheres. 128(7). 2 indexed citations
9.
Hu, Zeng‐Zhen, Arun Kumar, Bhaskar Jha, Mingyue Chen, & Wanqiu Wang. (2023). The tropical Indian Ocean matters for U. S. winter precipitation variability and predictability. Environmental Research Letters. 18(7). 74033–74033. 3 indexed citations
10.
Zhu, Jieshun, Wanqiu Wang, Yanyun Liu, Arun Kumar, & David G. DeWitt. (2023). Advances in Seasonal Predictions of Arctic Sea Ice With NOAA UFS. Geophysical Research Letters. 50(7). 3 indexed citations
11.
Widlansky, Matthew J., Magdalena Balmaseda, Claire M. Spillman, et al.. (2023). Quantifying the Benefits of Altimetry Assimilation in Seasonal Forecasts of the Upper Ocean. Journal of Geophysical Research Oceans. 128(5). 8 indexed citations
12.
Hu, Zeng‐Zhen, Michael J. McPhaden, Arun Kumar, Jin‐Yi Yu, & Nathaniel C. Johnson. (2020). Uncoupled El Niño Warming. Geophysical Research Letters. 47(7). 20 indexed citations
13.
14.
Lopez, Hosmay, Sang‐Ki Lee, Shenfu Dong, et al.. (2019). East Asian Monsoon as a Modulator of U.S. Great Plains Heat Waves. Journal of Geophysical Research Atmospheres. 124(12). 6342–6358. 25 indexed citations
15.
L’Heureux, Michelle, Michael K. Tippett, Arun Kumar, et al.. (2017). Strong Relations Between ENSO and the Arctic Oscillation in the North American Multimodel Ensemble. Geophysical Research Letters. 44(22). 25 indexed citations
16.
Lee, Hyun‐Chul, Arun Kumar, & Wanqiu Wang. (2017). Effects of ocean initial perturbation on developing phase of ENSO in a coupled seasonal prediction model. Climate Dynamics. 50(5-6). 1747–1767. 7 indexed citations
17.
Hu, Zeng‐Zhen, Arun Kumar, Jieshun Zhu, et al.. (2017). On the Shortening of the Lead Time of Ocean Warm Water Volume to ENSO SST Since 2000. Scientific Reports. 7(1). 4294–4294. 30 indexed citations
18.
Zhu, Jieshun, Arun Kumar, Bohua Huang, et al.. (2016). The role of off-equatorial surface temperature anomalies in the 2014 El Niño prediction. Scientific Reports. 6(1). 19677–19677. 79 indexed citations
19.
Zhu, Jieshun, Bohua Huang, Rong‐Hua Zhang, et al.. (2014). Salinity anomaly as a trigger for ENSO events. Scientific Reports. 4(1). 6821–6821. 106 indexed citations
20.
Wen, Caihong, Arun Kumar, Yan Xue, & Michael J. McPhaden. (2014). Changes in Tropical Pacific Thermocline Depth and Their Relationship to ENSO after 1999. Journal of Climate. 27(19). 7230–7249. 43 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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