Ludmila Matrosova

685 total citations
10 papers, 554 citations indexed

About

Ludmila Matrosova is a scholar working on Global and Planetary Change, Oceanography and Atmospheric Science. According to data from OpenAlex, Ludmila Matrosova has authored 10 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Global and Planetary Change, 6 papers in Oceanography and 5 papers in Atmospheric Science. Recurrent topics in Ludmila Matrosova's work include Climate variability and models (8 papers), Oceanographic and Atmospheric Processes (6 papers) and Meteorological Phenomena and Simulations (4 papers). Ludmila Matrosova is often cited by papers focused on Climate variability and models (8 papers), Oceanographic and Atmospheric Processes (6 papers) and Meteorological Phenomena and Simulations (4 papers). Ludmila Matrosova collaborates with scholars based in United States. Ludmila Matrosova's co-authors include Cécile Penland, Ping Chang, Michael A. Alexander, James D. Scott, Murry L. Salby, Hong Li, Link Ji, Patrick Callaghan, Ola Persson and Robert S. Stone and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Ludmila Matrosova

10 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ludmila Matrosova United States	7	488	401	341	24	19	10	554
Yoshinobu Wakata Japan	10	838 1.7×	686 1.7×	624 1.8×	32 1.3×	17 0.9×	27	980
Leela M. Frankcombe Australia	16	718 1.5×	613 1.5×	440 1.3×	21 0.9×	13 0.7×	21	845
Claudia Frauen Germany	14	734 1.5×	600 1.5×	539 1.6×	27 1.1×	9 0.5×	21	851
Christian Eckert Australia	5	642 1.3×	471 1.2×	591 1.7×	32 1.3×	6 0.3×	9	778
Cristian Martínez-Villalobos United States	14	419 0.9×	333 0.8×	93 0.3×	18 0.8×	9 0.5×	29	517
Moritz Flügel United States	12	856 1.8×	706 1.8×	592 1.7×	6 0.3×	16 0.8×	16	902
Ning Jiang China	13	416 0.9×	320 0.8×	158 0.5×	26 1.1×	12 0.6×	36	494
Javier Zavala‐Garay United States	13	518 1.1×	451 1.1×	523 1.5×	26 1.1×	13 0.7×	19	695
Lionel Pandolfo Canada	6	522 1.1×	505 1.3×	138 0.4×	21 0.9×	3 0.2×	11	623
Frank Sienz Germany	12	408 0.8×	264 0.7×	169 0.5×	11 0.5×	19 1.0×	13	478

Countries citing papers authored by Ludmila Matrosova

Since Specialization

Citations

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

Fields of papers citing papers by Ludmila Matrosova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ludmila Matrosova

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

All Works

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10 of 10 papers shown

Persson, Ola, Robert S. Stone, Andrey A. Grachev, & Ludmila Matrosova. (2012). Processes Affecting the Annual Surface Energy Budget at High-Latitude Terrestrial Sites. EGU General Assembly Conference Abstracts. 3265. 1 indexed citations

Alexander, Michael A., Ludmila Matrosova, Cécile Penland, James D. Scott, & Ping Chang. (2008). Forecasting Pacific SSTs: Linear Inverse Model Predictions of the PDO. Journal of Climate. 21(2). 385–402. 127 indexed citations

Penland, Cécile & Ludmila Matrosova. (2008). A Southern Hemisphere footprint in American Midwest precipitation. Geophysical Research Letters. 35(9). 4 indexed citations

Salby, Murry L., Ludmila Matrosova, & Patrick Callaghan. (2007). Global Kelvin waves in the upper atmosphere excited by tropospheric forcing at midlatitudes. Journal of Geophysical Research Atmospheres. 112(D6). 3 indexed citations

Salby, Murry L. & Ludmila Matrosova. (2007). Anomalous thermal structure introduced during solar proton events. Geophysical Research Letters. 34(23). 22 indexed citations

Penland, Cécile & Ludmila Matrosova. (2006). Studies of El Niño and Interdecadal Variability in Tropical Sea Surface Temperatures Using a Nonnormal Filter. Journal of Climate. 19(22). 5796–5815. 66 indexed citations

Penland, Cécile & Ludmila Matrosova. (2001). Expected and Actual Errors of Linear Inverse Model Forecasts. Monthly Weather Review. 129(7). 1740–1745. 14 indexed citations

Penland, Cécile & Ludmila Matrosova. (1998). Prediction of Tropical Atlantic Sea Surface Temperatures Using Linear Inverse Modeling. Journal of Climate. 11(3). 483–496. 163 indexed citations

Chang, Ping, Link Ji, Hong Li, Cécile Penland, & Ludmila Matrosova. (1998). Prediction of tropical Atlantic sea surface temperature. Geophysical Research Letters. 25(8). 1193–1196. 19 indexed citations

10.

Penland, Cécile & Ludmila Matrosova. (1994). A Balance Condition for Stochastic Numerical Models with Application to the El Niño-Southern Oscillation. Journal of Climate. 7(9). 1352–1372. 135 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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