Víctor C. Mayta

568 total citations
29 papers, 310 citations indexed

About

Víctor C. Mayta is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Víctor C. Mayta has authored 29 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atmospheric Science, 19 papers in Global and Planetary Change and 13 papers in Oceanography. Recurrent topics in Víctor C. Mayta's work include Climate variability and models (19 papers), Tropical and Extratropical Cyclones Research (13 papers) and Meteorological Phenomena and Simulations (10 papers). Víctor C. Mayta is often cited by papers focused on Climate variability and models (19 papers), Tropical and Extratropical Cyclones Research (13 papers) and Meteorological Phenomena and Simulations (10 papers). Víctor C. Mayta collaborates with scholars based in United States, Brazil and Peru. Víctor C. Mayta's co-authors include Ángel F. Adames, Pedro Leite da Silva Dias, Jhan Carlo Espinoza, Tércio Ambrizzi, Fiaz Ahmed, J. David Neelin, Scott W. Powell, Mathias Vuille, Francisco W. Cruz and Nicolás M. Stríkis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Víctor C. Mayta

26 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Víctor C. Mayta United States 11 236 219 93 32 20 29 310
Roberta D’Agostino Germany 11 257 1.1× 223 1.0× 68 0.7× 9 0.3× 24 1.2× 18 300
Michael J. Herman United States 10 301 1.3× 261 1.2× 53 0.6× 25 0.8× 23 1.1× 12 326
Phil J. Watson Australia 9 126 0.5× 140 0.6× 246 2.6× 8 0.3× 78 3.9× 24 342
Philippe Peyrillé France 12 500 2.1× 542 2.5× 107 1.2× 9 0.3× 25 1.3× 22 604
Gaëlle de Coëtlogon France 13 446 1.9× 554 2.5× 392 4.2× 16 0.5× 15 0.8× 25 629
Ruth Geen United Kingdom 9 307 1.3× 280 1.3× 100 1.1× 3 0.1× 11 0.6× 20 361
A. K. Bohra India 10 385 1.6× 327 1.5× 42 0.5× 4 0.1× 21 1.1× 22 432
Lionel Zawadzki France 7 91 0.4× 158 0.7× 310 3.3× 5 0.2× 31 1.6× 9 379
Bin Zheng China 11 500 2.1× 514 2.3× 241 2.6× 5 0.2× 7 0.3× 57 588
Jeffrey A. VanLooy United States 8 101 0.4× 53 0.2× 52 0.6× 7 0.2× 6 0.3× 17 208

Countries citing papers authored by Víctor C. Mayta

Since Specialization
Citations

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

Fields of papers citing papers by Víctor C. Mayta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Víctor C. Mayta. 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 Víctor C. Mayta. The network helps show where Víctor C. Mayta may publish in the future.

Co-authorship network of co-authors of Víctor C. Mayta

This figure shows the co-authorship network connecting the top 25 collaborators of Víctor C. Mayta. A scholar is included among the top collaborators of Víctor C. Mayta 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 Víctor C. Mayta. Víctor C. Mayta 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.
Adames, Ángel F., et al.. (2025). Hadley Cell Instability and Its Link to Tropical Depression‐Type Waves. Geophysical Research Letters. 52(18).
2.
Mayta, Víctor C., et al.. (2025). South American Intraseasonal Oscillation: EOF and Neural Network Approaches. Journal of Geophysical Research Atmospheres. 130(5).
3.
Mayta, Víctor C., et al.. (2025). Thermodynamic Processes Governing the Evolution of Developing and Strong Nondeveloping African Easterly Waves. Journal of the Atmospheric Sciences. 82(6). 1161–1174. 1 indexed citations
4.
Adames, Ángel F., et al.. (2025). East Pacific Easterly Wave Representation in CMIP6 Models. Geophysical Research Letters. 52(8). 1 indexed citations
5.
Mayta, Víctor C., et al.. (2024). The Radon and Hilbert transforms and their applications to atmospheric waves. Atmospheric Science Letters. 25(5). 2 indexed citations
6.
Mayta, Víctor C., et al.. (2024). Tropical and Subtropical South American Intraseasonal Variability: A Normal-Mode Approach. SHILAP Revista de lepidopterología. 3(2). 141–160. 4 indexed citations
7.
Mayta, Víctor C., et al.. (2024). Impact of tropical waves on extreme rainfall events during coastal El Niño. Environmental Research Letters. 19(9). 94037–94037.
8.
Raupp, Carlos F. M., et al.. (2024). Data-driven modeling of equatorial atmospheric waves: The role of moisture and nonlinearity on global-scale instabilities and propagation speeds. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(6). 2 indexed citations
9.
Mayta, Víctor C., et al.. (2024). Assessment of the Madden‐Julian Oscillation in CMIP6 Models Based on Moisture Mode Theory. Geophysical Research Letters. 51(8). 7 indexed citations
10.
Mayta, Víctor C., et al.. (2023). Wavenumber-Frequency Spectra of Normal Mode Function Decomposed Atmospheric Data: Departures from the Dry Linear Theory. Atmosphere. 14(4). 622–622. 2 indexed citations
11.
Adames, Ángel F., et al.. (2023). The Role of Water Vapor and Temperature in the Thermodynamics of Tropical Northeast Pacific and African Easterly Waves. Journal of the Atmospheric Sciences. 80(9). 2305–2322. 8 indexed citations
12.
Mayta, Víctor C. & Ángel F. Adames. (2023). Is the Madden‐Julian Oscillation a Moisture Mode?. Geophysical Research Letters. 50(15). 6 indexed citations
13.
Adames, Ángel F. & Víctor C. Mayta. (2023). On the Accuracy of the Moist Static Energy Budget When Applied to Large-Scale Tropical Motions. Journal of the Atmospheric Sciences. 80(10). 2365–2376. 2 indexed citations
14.
Mayta, Víctor C. & Ángel F. Adames. (2023). Moist Thermodynamics of Convectively Coupled Waves over the Western Hemisphere. Journal of Climate. 36(9). 2765–2780. 19 indexed citations
15.
Mayta, Víctor C., Ángel F. Adames, & Fiaz Ahmed. (2022). Westward‐Propagating Moisture Mode Over the Tropical Western Hemisphere. Geophysical Research Letters. 49(6). 17 indexed citations
16.
Mayta, Víctor C., et al.. (2022). Evaluation of diverse-based precipitation data over the Amazon Region. Theoretical and Applied Climatology. 149(3-4). 1167–1193. 12 indexed citations
17.
Mayta, Víctor C., George N. Kiladis, Juliana Dias, Pedro Leite da Silva Dias, & Maria Gehne. (2021). Convectively Coupled Kelvin Waves Over Tropical South America. Journal of Climate. 1–52. 22 indexed citations
18.
Stríkis, Nicolás M., James Apaéstegui, Mathias Vuille, et al.. (2020). The Forest Effects on the Isotopic Composition of Rainfall in the Northwestern Amazon Basin. Journal of Geophysical Research Atmospheres. 125(4). 47 indexed citations
19.
Adames, Ángel F., Scott W. Powell, Fiaz Ahmed, Víctor C. Mayta, & J. David Neelin. (2020). Tropical Precipitation Evolution in a Buoyancy-Budget Framework. Journal of the Atmospheric Sciences. 78(2). 509–528. 36 indexed citations
20.
Mayta, Víctor C., Tércio Ambrizzi, Jhan Carlo Espinoza, & Pedro Leite da Silva Dias. (2018). The role of the Madden–Julian oscillation on the Amazon Basin intraseasonal rainfall variability. International Journal of Climatology. 39(1). 343–360. 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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