John Ambrosiano

981 total citations
23 papers, 446 citations indexed

About

John Ambrosiano is a scholar working on Astronomy and Astrophysics, Electrical and Electronic Engineering and Nuclear and High Energy Physics. According to data from OpenAlex, John Ambrosiano has authored 23 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Astronomy and Astrophysics, 6 papers in Electrical and Electronic Engineering and 6 papers in Nuclear and High Energy Physics. Recurrent topics in John Ambrosiano's work include Ionosphere and magnetosphere dynamics (8 papers), Solar and Space Plasma Dynamics (7 papers) and Magnetic confinement fusion research (5 papers). John Ambrosiano is often cited by papers focused on Ionosphere and magnetosphere dynamics (8 papers), Solar and Space Plasma Dynamics (7 papers) and Magnetic confinement fusion research (5 papers). John Ambrosiano collaborates with scholars based in United States and France. John Ambrosiano's co-authors include W. H. Matthaeus, M. L. Goldstein, Rainald Löhner, D. R. Plante, B. Edward McDonald, L. C. Lee, S. Brandon, Éric Sonnendrücker, Z. F. Fu and Leslie Greengard and has published in prestigious journals such as Physical Review Letters, Journal of Geophysical Research Atmospheres and SHILAP Revista de lepidopterología.

In The Last Decade

John Ambrosiano

23 papers receiving 402 citations

Author Peers

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

Author Last Decade Papers Cites
John Ambrosiano 224 116 95 59 51 23 446
J. Fernandes 601 2.7× 105 0.9× 38 0.4× 49 0.8× 34 0.7× 57 753
J. A. Johnson 113 0.5× 181 1.6× 75 0.8× 158 2.7× 122 2.4× 39 457
A. S. Kingsep 173 0.8× 212 1.8× 39 0.4× 62 1.1× 126 2.5× 30 375
M. Wesenberg 516 2.3× 169 1.5× 384 4.0× 46 0.8× 21 0.4× 4 856
Н. Е. Молевич 343 1.5× 50 0.4× 88 0.9× 94 1.6× 108 2.1× 110 614
D. Kröner 512 2.3× 169 1.5× 391 4.1× 49 0.8× 21 0.4× 6 865
Shimshon Frankenthal 135 0.6× 35 0.3× 79 0.8× 26 0.4× 101 2.0× 39 404
G. Cooper 172 0.8× 148 1.3× 63 0.7× 27 0.5× 122 2.4× 6 498
Friedemann Kemm 512 2.3× 173 1.5× 454 4.8× 44 0.7× 18 0.4× 9 926
R. T. Stebbins 471 2.1× 44 0.4× 21 0.2× 37 0.6× 152 3.0× 42 608

Countries citing papers authored by John Ambrosiano

Since Specialization
Citations

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

Fields of papers citing papers by John Ambrosiano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Ambrosiano

This figure shows the co-authorship network connecting the top 25 collaborators of John Ambrosiano. A scholar is included among the top collaborators of John Ambrosiano 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 John Ambrosiano. John Ambrosiano 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.
Ambrosiano, John, et al.. (2020). Ontology-Based Graphs of Research Communities: A Tool for Understanding Threat Reduction Networks. SHILAP Revista de lepidopterología. 5. 3–3. 6 indexed citations
2.
McDonald, Mark, et al.. (2018). Risk-Based Policy Optimization for Critical Infrastructure Resilience against a Pandemic Influenza Outbreak. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering. 4(2). 5 indexed citations
3.
Rubenstein, Richard, P. C. Gray, Martin S Piltch, et al.. (2006). Dynamics of the nucleated polymerization model of prion replication. Biophysical Chemistry. 125(2-3). 360–367. 13 indexed citations
4.
Roberts, Royston M., et al.. (2004). Hidden Markov Model for Competitive Binding and Chain Elongation. The Journal of Physical Chemistry B. 108(20). 6228–6232. 1 indexed citations
5.
Sonnendrücker, Éric, John Ambrosiano, & S. Brandon. (1995). A finite element formulation of the Darwin PIC model for use on unstructured grids. Journal of Computational Physics. 121(2). 281–297. 30 indexed citations
6.
Mirin, A.A., John Ambrosiano, Al Bourgeois, et al.. (1994). Climate system modeling using a domain and task decomposition message-passing approach. Computer Physics Communications. 84(1-3). 278–296. 6 indexed citations
7.
Ambrosiano, John, et al.. (1991). A one-dimensional PIC-circuit code for simulating a reflex triode. Computer Physics Communications. 67(2). 210–222. 2 indexed citations
8.
Löhner, Rainald & John Ambrosiano. (1990). A vectorized particle tracer for unstructured grids. Journal of Computational Physics. 91(1). 22–31. 70 indexed citations
9.
Ambrosiano, John, D. R. Plante, B. Edward McDonald, & W. A. Kuperman. (1990). Nonlinear propagation in an ocean acoustic waveguide. The Journal of the Acoustical Society of America. 87(4). 1473–1481. 12 indexed citations
10.
Friedman, A., et al.. (1990). Damped time advance methods for particles and EM fields. University of North Texas Digital Library (University of North Texas). 3 indexed citations
11.
Ambrosiano, John, W. H. Matthaeus, M. L. Goldstein, & D. R. Plante. (1988). Test particle acceleration in turbulent reconnecting magnetic fields. Journal of Geophysical Research Atmospheres. 93(A12). 14383–14400. 114 indexed citations
12.
Ambrosiano, John, Leslie Greengard, & Vladimir Rokhlin. (1988). The fast multipole method for gridless particle simulation. Computer Physics Communications. 48(1). 117–125. 21 indexed citations
13.
Ambrosiano, John & S. H. Brecht. (1987). A simulation study of the Alfvén ion-cyclotron instability in high-beta plasmas. The Physics of Fluids. 30(1). 108–114. 13 indexed citations
14.
Ambrosiano, John, L. C. Lee, & Z. F. Fu. (1986). Simulation of the collisionless tearing instability in an anisotropic neutral sheet. Journal of Geophysical Research Atmospheres. 91(A1). 113–120. 28 indexed citations
15.
Goldstein, M. L., W. H. Matthaeus, & John Ambrosiano. (1986). Acceleration of charged particles in magnetic reconnection: Solar flares, the magnetosphere, and solar wind. Geophysical Research Letters. 13(3). 205–208. 35 indexed citations
16.
Matthaeus, W. H., John Ambrosiano, & M. L. Goldstein. (1984). Particle Acceleration by Turbulent Magnetohydrodynamic Reconnection. Physical Review Letters. 53(15). 1449–1452. 9 indexed citations
17.
McDonald, B. Edward & John Ambrosiano. (1984). High-order upwind flux correction methods for hyperbolic conservation laws. Journal of Computational Physics. 56(3). 448–460. 34 indexed citations
18.
Ambrosiano, John, L. C. Lee, & Daniel W. Swift. (1983). Simulation of the ion tearing instability in the presence of a background plasma. Journal of Geophysical Research Atmospheres. 88(A10). 7860–7866. 13 indexed citations
19.
Swift, Daniel W. & John Ambrosiano. (1981). Boundary conditions which lead to excitation of instabilities in plasma simulations. Journal of Computational Physics. 44(2). 302–317. 3 indexed citations
20.
Ambrosiano, John & George Vahala. (1981). Most probable magnetohydrodynamic tokamak and reversed field pinch equilibria. The Physics of Fluids. 24(12). 2253–2264. 6 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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Breakdown of academic impact, for papers by J. Fernandes Breakdown of academic impact, for papers by J. A. Johnson Breakdown of academic impact, for papers by A. S. Kingsep Breakdown of academic impact, for papers by M. Wesenberg Breakdown of academic impact, for papers by Н. Е. Молевич Breakdown of academic impact, for papers by D. Kröner Breakdown of academic impact, for papers by Shimshon Frankenthal Breakdown of academic impact, for papers by G. Cooper Breakdown of academic impact, for papers by Friedemann Kemm Breakdown of academic impact, for papers by R. T. Stebbins
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