D. Merkova

9.3k total citations
3 papers, 81 citations indexed

About

D. Merkova is a scholar working on Atmospheric Science, Global and Planetary Change and Astronomy and Astrophysics. According to data from OpenAlex, D. Merkova has authored 3 papers receiving a total of 81 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Atmospheric Science, 2 papers in Global and Planetary Change and 1 paper in Astronomy and Astrophysics. Recurrent topics in D. Merkova's work include Meteorological Phenomena and Simulations (3 papers), Climate variability and models (2 papers) and Ionosphere and magnetosphere dynamics (1 paper). D. Merkova is often cited by papers focused on Meteorological Phenomena and Simulations (3 papers), Climate variability and models (2 papers) and Ionosphere and magnetosphere dynamics (1 paper). D. Merkova collaborates with scholars based in United States. D. Merkova's co-authors include Randal D. Koster, Ronald Gelaro, Albert S. Huang, Lawrence Coy, Krzysztof Wargan, Meta Sienkiewicz, Will McCarty, Edward Ott, Istvan Szunyogh and D. Odstrčil and has published in prestigious journals such as Journal of Atmospheric and Solar-Terrestrial Physics, Nonlinear processes in geophysics and NASA Technical Reports Server (NASA).

In The Last Decade

D. Merkova

3 papers receiving 80 citations

Peers

D. Merkova

GPC

AS

OCEAN

EE

AA

Jeanette Onvlee Netherlands

Frank Le Blancq India

Jonas von Bismarck Netherlands

Nicholas Heath United States

Nadège Montoux France

J. Karmacharya United Kingdom

Anna Gialitaki Greece

Peter Köpke Germany

Russell Glazer Italy

Yasutaka Ikuta Japan

Jeanette Onvlee Netherlands

D. Merkova

96 ×1.5

GPC

101 ×1.6

AS

5 ×0.7

OCEAN

19 ×3.2

EE

6 ×1.2

AA

Citations per year, relative to D. Merkova D. Merkova (= 1×) peers Jeanette Onvlee

Countries citing papers authored by D. Merkova

Since Specialization

Citations

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

Fields of papers citing papers by D. Merkova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Merkova

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

All Works

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3 of 3 papers shown

1.

Koster, Randal D., Will McCarty, Lawrence Coy, et al.. (2016). MERRA-2 Input Observations: Summary and Assessment. NASA Technical Reports Server (NASA). 74 indexed citations

2.

Merkova, D., Istvan Szunyogh, & Edward Ott. (2011). Strategies for coupling global and limited-area ensemble Kalman filter assimilation. Nonlinear processes in geophysics. 18(3). 415–430. 5 indexed citations

3.

Měrka, J., D. Merkova, & D. Odstrčil. (2006). A step toward data assimilation in solar wind research. Journal of Atmospheric and Solar-Terrestrial Physics. 69(1-2). 170–178. 2 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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