V. Krishnamurthy

6.2k total citations
90 papers, 4.8k citations indexed

About

V. Krishnamurthy is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, V. Krishnamurthy has authored 90 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Global and Planetary Change, 47 papers in Atmospheric Science and 32 papers in Oceanography. Recurrent topics in V. Krishnamurthy's work include Climate variability and models (53 papers), Meteorological Phenomena and Simulations (38 papers) and Oceanographic and Atmospheric Processes (24 papers). V. Krishnamurthy is often cited by papers focused on Climate variability and models (53 papers), Meteorological Phenomena and Simulations (38 papers) and Oceanographic and Atmospheric Processes (24 papers). V. Krishnamurthy collaborates with scholars based in United States, India and Japan. V. Krishnamurthy's co-authors include J. Shukla, B. N. Goswami, Lakshmi Krishnamurthy, Marc Levoy, Ben P. Kirtman, R. S. Ajayamohan, Viresh H. Rawal, Deepthi Achuthavarier, Renguang Wu and William J. Scott and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

V. Krishnamurthy

88 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Krishnamurthy United States 30 3.7k 3.3k 1.4k 290 256 90 4.8k
Peter M. Saunders New Zealand 32 927 0.3× 1.2k 0.4× 1.5k 1.0× 69 0.2× 270 1.1× 117 2.8k
David J. Erickson United States 32 2.8k 0.7× 4.4k 1.3× 743 0.5× 48 0.2× 7 0.0× 54 6.0k
Rainer Bleck United States 31 3.6k 1.0× 3.5k 1.0× 3.8k 2.7× 11 0.0× 108 0.4× 76 5.9k
Robin J. Hogan United Kingdom 50 5.9k 1.6× 6.2k 1.9× 147 0.1× 19 0.1× 132 0.5× 165 7.0k
Alexander Barth Belgium 33 1.3k 0.3× 1.2k 0.4× 2.2k 1.6× 37 0.1× 39 0.2× 138 3.6k
Takashi Y. Nakajima Japan 36 4.1k 1.1× 3.7k 1.1× 203 0.1× 18 0.1× 45 0.2× 175 5.2k
Paul A. Newman United States 58 8.3k 2.3× 9.6k 2.9× 426 0.3× 84 0.3× 51 0.2× 270 10.8k
Anthony Vodacek United States 21 509 0.1× 259 0.1× 990 0.7× 37 0.1× 21 0.1× 80 2.0k
Bernhard Mayer Germany 39 4.7k 1.3× 4.2k 1.3× 170 0.1× 4 0.0× 96 0.4× 210 6.3k
Hirofumi Tomita Japan 34 3.5k 0.9× 3.8k 1.1× 513 0.4× 2 0.0× 257 1.0× 99 4.3k

Countries citing papers authored by V. Krishnamurthy

Since Specialization
Citations

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

Fields of papers citing papers by V. Krishnamurthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Krishnamurthy

This figure shows the co-authorship network connecting the top 25 collaborators of V. Krishnamurthy. A scholar is included among the top collaborators of V. Krishnamurthy 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 V. Krishnamurthy. V. Krishnamurthy 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.
Krishnamurthy, V. & J. Shukla. (2024). A New Paradigm for Active–Break Cycle in the Indian Summer Monsoon. Journal of Climate. 37(18). 4867–4884. 2 indexed citations
2.
Bach, Eviatar, V. Krishnamurthy, Safa Motesharrei, et al.. (2024). Improved subseasonal prediction of South Asian monsoon rainfall using data-driven forecasts of oscillatory modes. Proceedings of the National Academy of Sciences. 121(15). e2312573121–e2312573121. 8 indexed citations
3.
Stan, Cristiana, V. Krishnamurthy, Bin Li, et al.. (2022). The Impact of Tropical Pacific SST Biases on the S2S Forecast Skill over North America in the UFS Global Coupled Model. Journal of Climate. 36(8). 2439–2456. 5 indexed citations
4.
Anil, Arga Chandrashekar, Dattesh V. Desai, Lidita Khandeparker, et al.. (2021). Short term response of plankton community to nutrient enrichment in central eastern Arabian Sea: Elucidation through mesocosm experiments. Journal of Environmental Management. 288. 112390–112390. 3 indexed citations
5.
Krishnamurthy, V., Lydia Stefanova, Jiande Wang, et al.. (2021). Sources of Subseasonal Predictability over CONUS during Boreal Summer. Journal of Climate. 34(9). 3273–3294. 12 indexed citations
6.
Krishnamurthy, V., et al.. (2019). Tropical intraseasonal oscillation at monthly time scale during boreal summer and winter. Climate Dynamics. 53(5-6). 3387–3407. 1 indexed citations
7.
Krishnamurthy, V., et al.. (2017). Seasonality and mechanisms of tropical intraseasonal oscillations. Climate Dynamics. 50(1-2). 179–199. 8 indexed citations
8.
Krishnamurthy, V. & Cristiana Stan. (2015). Simulation of the South American climate by a coupled model with super-parameterized convection. Climate Dynamics. 44(9-10). 2369–2382. 7 indexed citations
9.
Bhosle, Saroj, et al.. (2012). Phenyltins in Surface Sediments of the Visakhapatnam Harbour, India. Bulletin of Environmental Contamination and Toxicology. 88(6). 933–938. 3 indexed citations
10.
Sawant, S.S., et al.. (2010). Changes in the occurrence of hard substratum faunal composition: a case study from Mumbai harbour, India.. Indian Journal of Marine Sciences. 39(1). 74–84. 10 indexed citations
11.
Krishnamurthy, V. & Vasubandhu Misra. (2010). Observed ENSO teleconnections with the South American monsoon system. Atmospheric Science Letters. 11(1). 7–12. 16 indexed citations
12.
Krishnamurthy, V., et al.. (2009). Changes in the abundance and composition of zooplankton from the ports of Mumbai, India. Environmental Monitoring and Assessment. 168(1-4). 179–194. 17 indexed citations
13.
Krishnamurthy, V. & R. S. Ajayamohan. (2008). The Composite Structure of Monsoon Low Pressure Systems. 1 indexed citations
14.
Bhosle, N.B., et al.. (2005). Butyltins in the sediments of Kochi and Mumbai harbours, west coast of India. Environment International. 32(2). 252–258. 45 indexed citations
15.
Jin, Emilia Kyung, B. Wang, J. Shukla, et al.. (2002). Intercomparison of the climatological variations of Asian summer monsoon precipitation simulated by 10 GCMs. Climate Dynamics. 19(5-6). 383–395. 373 indexed citations
16.
Shome, Bibek Ranjan, et al.. (1999). Bacteriological investigation of pop-eye disease in marine ornamental aquaria fishes from Andaman. Indian Journal of Fisheries. 46(4). 351–358. 2 indexed citations
17.
Goswami, B. N., et al.. (1999). A broad‐scale circulation index for the interannual variability of the Indian summer monsoon. Quarterly Journal of the Royal Meteorological Society. 125(554). 611–633. 389 indexed citations
18.
Krishnamurthy, V.. (1993). A Predictability Study of Lorenz's 28-Variable Model as a Dynamical System. Journal of the Atmospheric Sciences. 50(14). 2215–2229. 17 indexed citations
19.
Rawal, Viresh H., et al.. (1990). Synthesis of carbocyclic systems via radical-induced epoxide fragmentation. The Journal of Organic Chemistry. 55(18). 5181–5183. 65 indexed citations
20.
Krishnamurthy, V., et al.. (1972). Clear Sky Atmospheric Radiation over India. 33. 1 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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