V. J. Pizzo

3.9k total citations · 1 hit paper
58 papers, 2.7k citations indexed

About

V. J. Pizzo is a scholar working on Astronomy and Astrophysics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, V. J. Pizzo has authored 58 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Astronomy and Astrophysics, 14 papers in Molecular Biology and 8 papers in Artificial Intelligence. Recurrent topics in V. J. Pizzo's work include Solar and Space Plasma Dynamics (52 papers), Ionosphere and magnetosphere dynamics (26 papers) and Astro and Planetary Science (24 papers). V. J. Pizzo is often cited by papers focused on Solar and Space Plasma Dynamics (52 papers), Ionosphere and magnetosphere dynamics (26 papers) and Astro and Planetary Science (24 papers). V. J. Pizzo collaborates with scholars based in United States, Germany and United Kingdom. V. J. Pizzo's co-authors include C. N. Arge, J. T. Gosling, D. Odstrčil, S. J. Bame, W. M. Neupert, A. J. Hundhausen, C. A. de Koning, Z. Mikić, Pete Riley and J. A. Linker and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Astrophysical Journal and Geophysical Research Letters.

In The Last Decade

V. J. Pizzo

56 papers receiving 2.3k citations

Hit Papers

Improvement in the prediction of solar wind conditions us... 2000 2026 2008 2017 2000 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. J. Pizzo United States 26 2.6k 795 187 176 119 58 2.7k
B. J. Labonte United States 25 2.3k 0.9× 747 0.9× 351 1.9× 342 1.9× 81 0.7× 70 2.3k
B. V. Jackson United States 28 2.8k 1.1× 581 0.7× 204 1.1× 127 0.7× 110 0.9× 175 2.9k
R. M. MacQueen United States 24 2.7k 1.0× 492 0.6× 115 0.6× 132 0.8× 95 0.8× 82 2.8k
R. S. Bogart United States 20 3.0k 1.1× 964 1.2× 263 1.4× 511 2.9× 71 0.6× 68 3.1k
R. Komm United States 28 2.4k 0.9× 814 1.0× 302 1.6× 286 1.6× 117 1.0× 121 2.5k
R. Lionello United States 34 3.5k 1.3× 1.0k 1.3× 158 0.8× 297 1.7× 98 0.8× 102 3.6k
V. J. Pizzo United States 20 1.8k 0.7× 487 0.6× 97 0.5× 91 0.5× 71 0.6× 43 1.8k
P. L. Lamy France 18 3.2k 1.2× 570 0.7× 95 0.5× 215 1.2× 79 0.7× 63 3.2k
C. M. Korendyke United States 18 3.1k 1.2× 611 0.8× 99 0.5× 283 1.6× 65 0.5× 61 3.2k
J. B. Zirker United States 20 1.6k 0.6× 479 0.6× 75 0.4× 114 0.6× 76 0.6× 68 1.8k

Countries citing papers authored by V. J. Pizzo

Since Specialization
Citations

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

Fields of papers citing papers by V. J. Pizzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. J. Pizzo

This figure shows the co-authorship network connecting the top 25 collaborators of V. J. Pizzo. A scholar is included among the top collaborators of V. J. Pizzo 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 V. J. Pizzo. V. J. Pizzo 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.
Howard, T. A. & V. J. Pizzo. (2016). CHALLENGING SOME CONTEMPORARY VIEWS OF CORONAL MASS EJECTIONS. I. THE CASE FOR BLAST WAVES. The Astrophysical Journal. 824(2). 92–92. 6 indexed citations
2.
Millward, Gareth, D. A. Biesecker, V. J. Pizzo, & C. A. de Koning. (2013). An operational software tool for the analysis of coronagraph images: Determining CME parameters for input into the WSA‐Enlil heliospheric model. Space Weather. 11(2). 57–68. 60 indexed citations
3.
Koning, C. A. de, V. J. Pizzo, & D. A. Biesecker. (2009). Calculating CME Velocity in Near-Real-Time Using Geometric and Polarimetric Techniques. 1 indexed citations
4.
Reinard, A. A., et al.. (2007). Report on GOES SXI/XRS calibration effort. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6689. 66890J–66890J.
5.
Odstrčil, D., V. J. Pizzo, & C. N. Arge. (2005). Propagation of the 12 May 1997 interplanetary coronal mass ejection in evolving solar wind structures. Journal of Geophysical Research Atmospheres. 110(A2). 112 indexed citations
6.
Detman, T., C. N. Arge, V. J. Pizzo, et al.. (2003). A Hybrid Heliospheric Modeling System: I. Background Solar Wind. AGU Fall Meeting Abstracts. 2003. 4 indexed citations
7.
Pizzo, V. J., et al.. (2003). Advanced solar imaging from the GOES-R spacecraft. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4853. 465–465. 1 indexed citations
8.
Odstrčil, D. & V. J. Pizzo. (2002). MHD Modeling of ICMEs. AAS. 200.
9.
Arge, C. N., E. Hildner, V. J. Pizzo, & J. W. Harvey. (2002). Two solar cycles of nonincreasing magnetic flux. Journal of Geophysical Research Atmospheres. 107(A10). 83 indexed citations
10.
Hildner, E., et al.. (2000). The Solar Magnetic Field is Not Increasing. 31. 1 indexed citations
11.
Arge, C. N. & V. J. Pizzo. (2000). Improvement in the prediction of solar wind conditions using near‐real time solar magnetic field updates. Journal of Geophysical Research Atmospheres. 105(A5). 10465–10479. 556 indexed citations breakdown →
12.
Steiner, O., et al.. (1993). On the interchange instability of solar magnetic flux tubes. I - The influence of magnetic tension and internal gas pressure. 268(1). 299–308. 5 indexed citations
13.
Adams, J. C., Rolando R. García, Ben Gross, et al.. (1992). Applications of Multigrid Software in the Atmospheric Sciences. Monthly Weather Review. 120(7). 1447–1458. 10 indexed citations
14.
Pizzo, V. J., K. B. MacGregor, & P. B. Kunasz. (1990). A Numerical Simulation of Two-Dimensional Radiative Equilibrium in Magnetostatic Flux Tubes. Bulletin of the American Astronomical Society. 22. 1051. 1 indexed citations
15.
Pizzo, V. J.. (1986). Numerical solution of the magnetostatic equations for thick flux tubes, with application to sunspots, pores, and related structures. The Astrophysical Journal. 302. 785–785. 33 indexed citations
16.
Burlaga, L. F., V. J. Pizzo, A. J. Lazarus, & P. R. Gazis. (1985). Stream dynamics between 1 AU and 2 AU: A comparison of observations and theory. Journal of Geophysical Research Atmospheres. 90(A8). 7377–7388. 35 indexed citations
17.
Burlaga, L. F., V. J. Pizzo, A. J. Lazarus, & P. R. Gazis. (1984). Stream dynamics between 1 AU and 2 AU: A detailed comparison of observations and theory. NASA STI Repository (National Aeronautics and Space Administration). 85. 26578. 1 indexed citations
18.
Pizzo, V. J.. (1982). A three‐dimensional model of corotating streams in the solar wind: 3. Magnetohydrodynamic streams. Journal of Geophysical Research Atmospheres. 87(A6). 4374–4394. 121 indexed citations
19.
Pizzo, V. J.. (1981). An Evaluation of Corotating Solar Wind Stream Models. 153. 9 indexed citations
20.
Newkirk, Gordon, A. J. Hundhausen, & V. J. Pizzo. (1981). Solar cycle modulation of galactic cosmic rays: Speculation on the role of coronal transients. Journal of Geophysical Research Atmospheres. 86(A7). 5387–5396. 49 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026