A. S. Sharma

3.7k total citations
94 papers, 2.6k citations indexed

About

A. S. Sharma is a scholar working on Astronomy and Astrophysics, Molecular Biology and Economics and Econometrics. According to data from OpenAlex, A. S. Sharma has authored 94 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Astronomy and Astrophysics, 41 papers in Molecular Biology and 20 papers in Economics and Econometrics. Recurrent topics in A. S. Sharma's work include Ionosphere and magnetosphere dynamics (57 papers), Solar and Space Plasma Dynamics (50 papers) and Geomagnetism and Paleomagnetism Studies (41 papers). A. S. Sharma is often cited by papers focused on Ionosphere and magnetosphere dynamics (57 papers), Solar and Space Plasma Dynamics (50 papers) and Geomagnetism and Paleomagnetism Studies (41 papers). A. S. Sharma collaborates with scholars based in United States, Russia and France. A. S. Sharma's co-authors include K. Papadopoulos, M. I. Sitnov, D. Vassiliadis, H. V. Malova, Л. М. Зеленый, J. A. Valdivia, Xi Shao, Dominique Delcourt, T. E. Eastman and G. M. Milikh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Geophysical Research Atmospheres and Applied Physics Letters.

In The Last Decade

A. S. Sharma

92 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. S. Sharma United States 28 2.0k 1.1k 727 412 251 94 2.6k
A. J. Klimas United States 31 2.0k 1.0× 1.3k 1.1× 792 1.1× 403 1.0× 232 0.9× 88 2.7k
Giuseppe Consolini Italy 27 2.1k 1.1× 1.5k 1.3× 884 1.2× 581 1.4× 347 1.4× 223 3.0k
D. Vassiliadis United States 30 1.9k 1.0× 1.5k 1.4× 982 1.4× 622 1.5× 346 1.4× 103 2.7k
D. A. Roberts United States 35 4.0k 2.0× 2.1k 1.9× 309 0.4× 259 0.6× 139 0.6× 107 4.4k
V. M. Uritsky United States 25 1.3k 0.7× 730 0.6× 438 0.6× 327 0.8× 144 0.6× 78 1.8k
Z. Vörös Austria 31 2.8k 1.4× 1.5k 1.3× 460 0.6× 171 0.4× 188 0.7× 130 3.5k
G. Zimbardo Italy 30 2.4k 1.2× 770 0.7× 205 0.3× 156 0.4× 302 1.2× 134 2.8k
P. Veltri Italy 41 4.9k 2.5× 2.0k 1.8× 303 0.4× 500 1.2× 436 1.7× 214 5.8k
R. Bruno Italy 42 6.4k 3.2× 2.9k 2.6× 189 0.3× 373 0.9× 247 1.0× 228 6.8k
L. Sorriso‐Valvo Italy 30 2.5k 1.3× 1.1k 1.0× 126 0.2× 235 0.6× 163 0.6× 127 2.9k

Countries citing papers authored by A. S. Sharma

Since Specialization
Citations

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

Fields of papers citing papers by A. S. Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. S. Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of A. S. Sharma. A scholar is included among the top collaborators of A. S. Sharma 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 A. S. Sharma. A. S. Sharma 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.
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
2.
Mannucci, A. J., Jacob Bortnik, C. Cid, et al.. (2023). The Future of Space Weather Prediction and Forecasting. e_Buah.
3.
Sharma, A. S., et al.. (2016). Brief Communication: Breeding vectors in the phase space reconstructed from time series data. Nonlinear processes in geophysics. 23(3). 137–141. 2 indexed citations
4.
Sharma, A. S., et al.. (2015). Langevin model of crossover in multiscale fluctuations: Substorm time-scales in Earth's magnetosphere. Bulletin of the American Physical Society. 2015. 1 indexed citations
5.
Sharma, A. S., Markus J. Aschwanden, Norma B. Crosby, et al.. (2015). 25 Years of Self-organized Criticality: Space and Laboratory Plasmas. Space Science Reviews. 198(1-4). 167–216. 26 indexed citations
6.
Sharma, A. S.. (2012). Extreme Events and Natural Hazards: The Complexity Perspective. Geophysical monograph. 47 indexed citations
7.
Sharma, A. S., et al.. (2011). Extreme events and long-range correlations in space weather. Nonlinear processes in geophysics. 18(5). 719–725. 10 indexed citations
8.
Sharma, A. S., Jian Chen, D. Vassiliadis, et al.. (2011). Dynamical and Statistical Modeling of the Multiscale Magnetosphere. AIP conference proceedings. 72–76. 1 indexed citations
9.
10.
Farrugia, C. J., A. Grocott, P. E. Sandholt, et al.. (2007). The magnetosphere under weak solar wind forcing. Annales Geophysicae. 25(1). 191–205. 12 indexed citations
11.
Milikh, G. M., P. N. Guzdar, & A. S. Sharma. (2005). Gamma ray flashes due to plasma processes in the atmosphere: Role of whistler waves. Journal of Geophysical Research Atmospheres. 110(A2). 12 indexed citations
12.
Ukhorskiy, A. Y., M. I. Sitnov, A. S. Sharma, & K. Papadopoulos. (2004). Global and multi‐scale features of solar wind‐magnetosphere coupling: From modeling to forecasting. Geophysical Research Letters. 31(8). 36 indexed citations
13.
Зеленый, Л. М., Dominique Delcourt, H. V. Malova, et al.. (2002). Forced current sheets in the Earth's magnetotail: Their role and evolution due to nonadiabatic particle scattering. Advances in Space Research. 30(7). 1629–1638. 13 indexed citations
14.
Shao, Xi, P. N. Guzdar, K. Papadopoulos, et al.. (2001). Three‐dimensional MHD simulations of the Earth's magnetosphere on Feb 9–10 1995 for northward interplanetary magnetic field and comparison of the lobe field with Geotail observations. Geophysical Research Letters. 28(20). 3835–3838. 1 indexed citations
15.
Sharma, A. S., et al.. (2001). Spatio-temporal structure of geomagnetic activity triggered by dynamic pressure pulses: Mutual information functional analysis. APS. 46(2). 2 indexed citations
16.
Sitnov, M. I., A. S. Sharma, K. Papadopoulos, & D. Vassiliadis. (2001). Modeling substorm dynamics of the magnetosphere: From self-organization and self-organized criticality to nonequilibrium phase transitions. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(1). 16116–16116. 62 indexed citations
17.
Sharma, A. S., M. I. Sitnov, & K. Papadopoulos. (2001). Substorms as nonequilibrium transitions of the magnetosphere. Journal of Atmospheric and Solar-Terrestrial Physics. 63(13). 1399–1406. 23 indexed citations
18.
Зеленый, Л. М., M. I. Sitnov, H. V. Malova, & A. S. Sharma. (2000). Thin and superthin ion current sheets. Quasi-adiabatic and nonadiabatic models. Nonlinear processes in geophysics. 7(3/4). 127–139. 100 indexed citations
19.
Valdivia, J. A., D. Vassiliadis, A. J. Klimas, & A. S. Sharma. (1999). Modeling the spatial structure of the high latitude magnetic perturbations and the related current systems. Physics of Plasmas. 6(11). 4185–4194. 27 indexed citations
20.

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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