R. A. Akmaev

2.7k total citations
57 papers, 2.1k citations indexed

About

R. A. Akmaev is a scholar working on Astronomy and Astrophysics, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, R. A. Akmaev has authored 57 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Astronomy and Astrophysics, 39 papers in Atmospheric Science and 16 papers in Global and Planetary Change. Recurrent topics in R. A. Akmaev's work include Ionosphere and magnetosphere dynamics (43 papers), Atmospheric Ozone and Climate (33 papers) and Solar and Space Plasma Dynamics (29 papers). R. A. Akmaev is often cited by papers focused on Ionosphere and magnetosphere dynamics (43 papers), Atmospheric Ozone and Climate (33 papers) and Solar and Space Plasma Dynamics (29 papers). R. A. Akmaev collaborates with scholars based in United States, Russia and Czechia. R. A. Akmaev's co-authors include V. I. Fomichev, Fei Wu, T. J. Fuller‐Rowell, Houjun Wang, Tzu‐Wei Fang, Mark Iredell, G. M. Shved, T. J. Fuller‐Rowell, Xun Zhu and J. T. Emmert and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and Geophysical Research Letters.

In The Last Decade

R. A. Akmaev

55 papers receiving 2.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
R. A. Akmaev 1.9k 1.2k 346 305 296 57 2.1k
Heinz Müller 1.3k 0.7× 768 0.6× 210 0.6× 298 1.0× 253 0.9× 67 1.6k
Christoph Jacobi 2.7k 1.4× 1.6k 1.3× 371 1.1× 542 1.8× 478 1.6× 190 3.0k
W. R. Skinner 2.6k 1.4× 2.2k 1.8× 266 0.8× 683 2.2× 183 0.6× 83 3.1k
Alexander S. Medvedev 2.4k 1.3× 1.0k 0.8× 182 0.5× 337 1.1× 193 0.7× 79 2.6k
R. Rüster 1.6k 0.8× 819 0.7× 146 0.4× 182 0.6× 397 1.3× 81 1.7k
R. J. Sica 1.1k 0.5× 945 0.8× 200 0.6× 683 2.2× 256 0.9× 70 1.8k
G. J. Fraser 2.1k 1.1× 981 0.8× 327 0.9× 232 0.8× 320 1.1× 62 2.3k
Peter Hoffmann 2.0k 1.0× 1.5k 1.2× 131 0.4× 432 1.4× 239 0.8× 72 2.2k
Yasunobu Miyoshi 2.0k 1.0× 1.4k 1.2× 411 1.2× 627 2.1× 427 1.4× 94 2.5k
D. J. Murphy 1.8k 0.9× 1.4k 1.1× 166 0.5× 463 1.5× 225 0.8× 94 2.1k

Countries citing papers authored by R. A. Akmaev

Since Specialization
Citations

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

Fields of papers citing papers by R. A. Akmaev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. A. Akmaev. 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 R. A. Akmaev. The network helps show where R. A. Akmaev may publish in the future.

Co-authorship network of co-authors of R. A. Akmaev

This figure shows the co-authorship network connecting the top 25 collaborators of R. A. Akmaev. A scholar is included among the top collaborators of R. A. Akmaev 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 R. A. Akmaev. R. A. Akmaev 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.
Araujo‐Pradere, E. A., Elizabeth C. Weatherhead, D. Bilitza, et al.. (2019). Critical Issues in Ionospheric Data Quality and Implications for Scientific Studies. Radio Science. 54(5). 440–454. 16 indexed citations
2.
Wang, Houjun, John P. Boyd, & R. A. Akmaev. (2016). On computation of Hough functions. Geoscientific model development. 9(4). 1477–1488. 36 indexed citations
3.
Maruyama, Naomi, Yang‐Yi Sun, P. G. Richards, et al.. (2016). A new source of the midlatitude ionospheric peak density structure revealed by a new Ionosphere‐Plasmasphere model. Geophysical Research Letters. 43(6). 2429–2435. 43 indexed citations
4.
Fang, Tzu‐Wei, R. A. Akmaev, R. Stoneback, et al.. (2016). Impact of midnight thermosphere dynamics on the equatorial ionospheric vertical drifts. Journal of Geophysical Research Space Physics. 121(5). 4858–4868. 12 indexed citations
5.
Matsuo, Tomoko, T. J. Fuller‐Rowell, R. A. Akmaev, et al.. (2014). Predictability and Ensemble Modeling of the Space-Atmosphere Interaction Region. 2014 AGU Fall Meeting. 2014.
6.
Fang, Tzu‐Wei, T. J. Fuller‐Rowell, Houjun Wang, R. A. Akmaev, & Fei Wu. (2014). Ionospheric response to sudden stratospheric warming events at low and high solar activity. Journal of Geophysical Research Space Physics. 119(9). 7858–7869. 28 indexed citations
7.
Wang, Houjun, R. A. Akmaev, Tzu‐Wei Fang, et al.. (2014). First forecast of a sudden stratospheric warming with a coupled whole‐atmosphere/ionosphere model IDEA. Journal of Geophysical Research Space Physics. 119(3). 2079–2089. 45 indexed citations
8.
Deng, Yue, Timothy Fuller‐Rowell, R. A. Akmaev, & A. J. Ridley. (2011). Impact of the altitudinal Joule heating distribution on the thermosphere. Journal of Geophysical Research Atmospheres. 116(A5). 67 indexed citations
9.
Laštovička, Jan, R. A. Akmaev, & J. T. Emmert. (2009). Long-term changes and trends in the upper atmosphere—An introduction. Journal of Atmospheric and Solar-Terrestrial Physics. 71(14-15). 1511–1513. 3 indexed citations
10.
She, C. Y., et al.. (2009). Long-term variability in mesopause region temperatures over Fort Collins, Colorado (41°N, 105°W) based on lidar observations from 1990 through 2007. Journal of Atmospheric and Solar-Terrestrial Physics. 71(14-15). 1558–1564. 52 indexed citations
11.
Fuller‐Rowell, T. J., R. A. Akmaev, Fei Wu, et al.. (2008). Impact of terrestrial weather on the upper atmosphere. Geophysical Research Letters. 35(9). 65 indexed citations
12.
Akmaev, R. A., T. J. Fuller‐Rowell, Fei Wu, et al.. (2008). Tidal variability in the lower thermosphere: Comparison of Whole Atmosphere Model (WAM) simulations with observations from TIMED. Geophysical Research Letters. 35(3). 82 indexed citations
13.
Akmaev, R. A.. (2003). Comment on “Time series, periodograms, and significance” by G. Hernandez. Journal of Geophysical Research Atmospheres. 108(A5). 1 indexed citations
14.
15.
Akmaev, R. A.. (2001). Comments on “Midlatitude temperatures at 87 Km: Results from multi‐instrument Fourier analysis” by Drob et al.. Geophysical Research Letters. 28(10). 2001–2002. 3 indexed citations
16.
Akmaev, R. A. & V. I. Fomichev. (2000). A model estimate of cooling in the mesosphere and lower thermosphere due to the CO2 Increase over the last 3–4 decades. Geophysical Research Letters. 27(14). 2113–2116. 71 indexed citations
17.
Akmaev, R. A.. (1999). A prototype upper-atmospheric data assimilation scheme based on optimal interpolation: 2. Numerical experiments. Journal of Atmospheric and Solar-Terrestrial Physics. 61(6). 505–517. 4 indexed citations
18.
Akmaev, R. A. & V. I. Fomichev. (1998). Cooling of the mesosphere and lower thermosphere due to doubling of CO2. Annales Geophysicae. 16(11). 1501–1512. 72 indexed citations
19.
Akmaev, R. A.. (1994). Diagnostics and simulation of an annual cycle in the middle atmosphere. Journal of Geophysical Research Atmospheres. 99(D9). 18933–18950. 11 indexed citations
20.
Shved, G. M. & R. A. Akmaev. (1974). Influence of radiative heat transfer on turbulence in planetary atmospheres. 10. 894–898. 4 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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