N. V. Pogorelov

7.9k total citations
186 papers, 4.6k citations indexed

About

N. V. Pogorelov is a scholar working on Astronomy and Astrophysics, Atmospheric Science and Nuclear and High Energy Physics. According to data from OpenAlex, N. V. Pogorelov has authored 186 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 178 papers in Astronomy and Astrophysics, 26 papers in Atmospheric Science and 18 papers in Nuclear and High Energy Physics. Recurrent topics in N. V. Pogorelov's work include Solar and Space Plasma Dynamics (169 papers), Ionosphere and magnetosphere dynamics (132 papers) and Astro and Planetary Science (81 papers). N. V. Pogorelov is often cited by papers focused on Solar and Space Plasma Dynamics (169 papers), Ionosphere and magnetosphere dynamics (132 papers) and Astro and Planetary Science (81 papers). N. V. Pogorelov collaborates with scholars based in United States, Russia and Germany. N. V. Pogorelov's co-authors include G. P. Zank, J. Heerikhuisen, D. J. McComas, V. Florinski, S. N. Borovikov, E. J. Zirnstein, Yu. A. Semënov, А. Г. Куликовский, Tatsuki Ogino and Ming Zhang and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and The Astrophysical Journal.

In The Last Decade

N. V. Pogorelov

167 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. V. Pogorelov United States 37 4.1k 525 459 292 186 186 4.6k
Christoph Federrath Australia 41 6.3k 1.5× 622 1.2× 535 1.2× 420 1.4× 77 0.4× 186 6.6k
Rony Keppens Belgium 39 4.7k 1.2× 218 0.4× 1.3k 2.8× 515 1.8× 131 0.7× 249 5.2k
K. Kusano Japan 27 2.5k 0.6× 211 0.4× 500 1.1× 214 0.7× 98 0.5× 119 3.0k
Xueshang Feng China 36 4.1k 1.0× 231 0.4× 243 0.5× 292 1.0× 253 1.4× 339 4.5k
H. Fichtner Germany 28 2.6k 0.6× 284 0.5× 595 1.3× 67 0.2× 49 0.3× 205 2.9k
Gregory W. Henry United States 49 8.5k 2.1× 615 1.2× 156 0.3× 395 1.4× 76 0.4× 273 9.0k
T. Linde United States 17 1.9k 0.5× 148 0.3× 226 0.5× 589 2.0× 64 0.3× 26 2.5k
P. Trávnı́ček Czechia 34 3.4k 0.8× 209 0.4× 635 1.4× 128 0.4× 48 0.3× 112 3.7k
P. Dmitruk United States 37 3.5k 0.9× 184 0.4× 519 1.1× 620 2.1× 128 0.7× 94 3.9k
Thierry Dudok de Wit France 29 1.8k 0.4× 407 0.8× 465 1.0× 89 0.3× 99 0.5× 125 2.4k

Countries citing papers authored by N. V. Pogorelov

Since Specialization
Citations

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

Fields of papers citing papers by N. V. Pogorelov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. V. Pogorelov. 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 N. V. Pogorelov. The network helps show where N. V. Pogorelov may publish in the future.

Co-authorship network of co-authors of N. V. Pogorelov

This figure shows the co-authorship network connecting the top 25 collaborators of N. V. Pogorelov. A scholar is included among the top collaborators of N. V. Pogorelov 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 N. V. Pogorelov. N. V. Pogorelov 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
2.
Gedalin, M., V. Roytershteyn, & N. V. Pogorelov. (2023). Shock Heating of Incident Thermal and Superthermal Populations of Different Ion Species. The Astrophysical Journal. 945(1). 50–50. 4 indexed citations
3.
Badman, Samuel T., Pete Riley, Shaela I. Jones, et al.. (2023). Prediction and Verification of Parker Solar Probe Solar Wind Sources at 13.3 R. Journal of Geophysical Research Space Physics. 128(4). 27 indexed citations
4.
Zhang, Ming, Ju Zhang, Pete Riley, et al.. (2023). A Data-driven, Physics-based Transport Model of Solar Energetic Particles Accelerated by Coronal Mass Ejection Shocks Propagating through the Solar Coronal and Heliospheric Magnetic Fields. The Astrophysical Journal Supplement Series. 266(2). 35–35. 6 indexed citations
5.
Sokół, J. M., H. Kucharek, H. J. Fahr, et al.. (2022). Interstellar Neutrals, Pickup Ions, and Energetic Neutral Atoms Throughout the Heliosphere: Present Theory and Modeling Overview. Space Science Reviews. 218(3). 18 indexed citations
6.
Lamy, Laurent, R. Prangé, K. C. Hansen, et al.. (2017). The aurorae of Uranus past equinox. Journal of Geophysical Research Space Physics. 122(4). 3997–4008. 19 indexed citations
7.
Heerikhuisen, J., E. J. Zirnstein, & N. V. Pogorelov. (2015). κ ‐distributed protons in the solar wind and their charge‐exchange coupling to energetic hydrogen. Journal of Geophysical Research Space Physics. 120(3). 1516–1525. 30 indexed citations
8.
Desai, M. I., F. Allegrini, M. A. Dayeh, et al.. (2013). Spectral properties of ~0.03-6 keV Energetic Neutral Atoms Measured by the Interstellar Boundary Explorer (IBEX) Along the Lines-of-Sight of Voyager. AGU Spring Meeting Abstracts. 2013. 1 indexed citations
9.
Pogorelov, N. V., et al.. (2012). Numerical Modeling of Solar Wind Flow Using Interplanetary Scintillation Data as Boundary Conditions. ASPC. 459. 209. 1 indexed citations
10.
Pogorelov, N. V., S. T. Wu, J. A. Linker, et al.. (2012). Modeling Heliosheath Flow with Observational Boundary Conditions. cosp. 39. 1517. 1 indexed citations
11.
Pogorelov, N. V., S. N. Borovikov, J. Heerikhuisen, et al.. (2011). Heliospheric Modeling with MS-FLUKSS: Interpretation of the IBEX Measurements and Time-dependent Simulations. ASPC. 444. 130. 1 indexed citations
12.
Slavin, Jonathan D., P. C. Frisch, W. T. Reach, et al.. (2011). Emission from Interstellar Dust in the Heliosphere. 218. 1 indexed citations
13.
Pogorelov, N. V., et al.. (2011). Numerical modeling of space plasma flows : ASTRONUM-2010 : proceedings of the 5th international conference held at San Diego, California, USA, June 13-18, 2010. Astronomical Society of the Pacific eBooks. 1 indexed citations
14.
Pogorelov, N. V., et al.. (2011). Numerical modeling of space plasma flows : ASTRONUM-2011 : proceedings of the 6th international conference held at Valencia, SPAIN, June 13-17, 2011. Astronomical Society of the Pacific eBooks. 1 indexed citations
15.
Florinski, V., N. V. Pogorelov, & James H. Adams. (2010). The modulation of galactic cosmic rays in the distant heliosphere. cosp. 38. 4. 1 indexed citations
16.
Heerikhuisen, J., V. Florinski, G. P. Zank, & N. V. Pogorelov. (2006). MHD-Boltzmann Simulations of the Solar Wind-Interstellar Medium Interaction. ASPC. 359(1). 251–166. 1 indexed citations
17.
Heerikhuisen, J., V. Florinski, G. P. Zank, & N. V. Pogorelov. (2006). Physics of the Inner Heliosheath: Voyager Observations, Theory, and Future Prospects. AIPC. 858. 11 indexed citations
18.
Pogorelov, N. V. & Takuya Matsuda. (2000). Nonevolutionary MHD shocks in the solar wind and interstellar medium interaction. A&A. 354. 697–702. 10 indexed citations
19.
Pogorelov, N. V.. (1995). Periodic stellar wind / interstellar medium interaction.. A&A. 297. 835. 4 indexed citations
20.
Pogorelov, N. V.. (1990). Three-dimensional nonequilibrium reacting airflow around a body penetrating into an equilibrium heated zone. Fluid Dynamics. 25(6). 918–925. 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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