Stefano Markidis

4.8k total citations
153 papers, 2.9k citations indexed

About

Stefano Markidis is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Computer Networks and Communications. According to data from OpenAlex, Stefano Markidis has authored 153 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Astronomy and Astrophysics, 42 papers in Nuclear and High Energy Physics and 40 papers in Computer Networks and Communications. Recurrent topics in Stefano Markidis's work include Ionosphere and magnetosphere dynamics (59 papers), Solar and Space Plasma Dynamics (47 papers) and Magnetic confinement fusion research (39 papers). Stefano Markidis is often cited by papers focused on Ionosphere and magnetosphere dynamics (59 papers), Solar and Space Plasma Dynamics (47 papers) and Magnetic confinement fusion research (39 papers). Stefano Markidis collaborates with scholars based in Sweden, United States and Belgium. Stefano Markidis's co-authors include Giovanni Lapenta, Erwin Laure, Andrey Divin, D. L. Newman, M. V. Goldman, Rizwan-uddin, Ivy Peng, G. Tóth, T. I. Gombosi and Jan Deca and has published in prestigious journals such as Physical Review Letters, Journal of Geophysical Research Atmospheres and The Astrophysical Journal.

In The Last Decade

Stefano Markidis

143 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefano Markidis Sweden 30 1.8k 732 486 317 265 153 2.9k
H. Karimabadi United States 39 4.0k 2.2× 1.6k 2.2× 1.0k 2.1× 294 0.9× 297 1.1× 117 4.7k
Viktor K. Decyk United States 29 1.0k 0.6× 1.4k 2.0× 95 0.2× 751 2.4× 675 2.5× 136 2.5k
Andrew Lucas United States 32 525 0.3× 729 1.0× 82 0.2× 506 1.6× 2.5k 9.4× 89 4.4k
Thomas Vidick United States 28 847 0.5× 315 0.4× 235 0.5× 246 0.8× 1.1k 4.3× 106 2.6k
W. M. Tang United States 47 5.9k 3.2× 7.9k 10.8× 107 0.2× 595 1.9× 838 3.2× 193 9.0k
Michael S. Warren United States 28 2.0k 1.1× 505 0.7× 31 0.1× 225 0.7× 362 1.4× 77 3.3k
S. Ku United States 25 1.0k 0.6× 1.5k 2.1× 22 0.0× 134 0.4× 98 0.4× 94 1.9k
Joohan Lee South Korea 16 669 0.4× 681 0.9× 124 0.3× 82 0.3× 189 0.7× 95 1.6k
Andrew Myers United States 15 362 0.2× 240 0.3× 39 0.1× 125 0.4× 104 0.4× 34 1.3k
B. Srinivasan India 27 781 0.4× 523 0.7× 126 0.3× 156 0.5× 86 0.3× 173 3.3k

Countries citing papers authored by Stefano Markidis

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Markidis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Markidis

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Markidis. A scholar is included among the top collaborators of Stefano Markidis 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 Stefano Markidis. Stefano Markidis 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.
Markidis, Stefano, et al.. (2025). An HPC-Inspired Blueprint for a Technology-Agnostic Quantum Middle Layer. 1860–1867.
2.
Liu, Felix, D. Tskhakaya, S. Costea, et al.. (2025). Accelerating Particle-in-Cell Monte Carlo simulations with MPI, OpenMP/OpenACC and Asynchronous Multi-GPU Programming. Journal of Computational Science. 88. 102590–102590.
3.
Coti, Camille, Yann Pfau‐Kempf, Markus Battarbee, et al.. (2024). Integration of Modern HPC Performance Tools in Vlasiator for Exascale Analysis and Optimization. Espace ÉTS (ETS). 996–1005.
4.
Kyriienko, Oleksandr, P. Tolias, Panagiotis Kl. Barkoutsos, et al.. (2024). Beyond the Buzz: Strategic Paths for Enabling Useful NISQ Applications. Open Research Exeter (University of Exeter). 310–313. 1 indexed citations
5.
Markidis, Stefano, et al.. (2023). A Case Study on DaCe Portability & Performance for Batched Discrete Fourier Transforms. 55–63. 2 indexed citations
6.
Jansson, Niclas, et al.. (2023). Large-Scale direct numerical simulations of turbulence using GPUs and modern Fortran. The International Journal of High Performance Computing Applications. 37(5). 487–502. 10 indexed citations
7.
Hager, Georg, et al.. (2023). Making applications faster by asynchronous execution: Slowing down processes or relaxing MPI collectives. Future Generation Computer Systems. 148. 472–487. 1 indexed citations
8.
Divin, Andrey, V. S. Semenov, I. V. Kubyshkin, et al.. (2021). Cold ion energization at separatrices during magnetic reconnection. Physics of Plasmas. 28(3). 8 indexed citations
9.
O’Donncha, Fearghal, Roman Iakymchuk, Philipp Gschwandtner, et al.. (2019). AllScale toolchain pilot applications: PDE based solvers using a parallel development environment. Computer Physics Communications. 251. 107089–107089. 7 indexed citations
10.
Divin, Andrey, et al.. (2019). Electron trapping in the coma of a weakly outgassing comet. Physics of Plasmas. 26(10). 8 indexed citations
11.
Divin, Andrey, V. S. Semenov, Jan Deca, et al.. (2019). Inner and outer electron diffusion region of antiparallel collisionless reconnection: Density dependence. Physics of Plasmas. 26(10). 6 indexed citations
12.
Iakymchuk, Roman, et al.. (2018). Interoperability strategies for GASPI and MPI in large-scale scientific applications. The International Journal of High Performance Computing Applications. 33(3). 554–568. 3 indexed citations
13.
Ma, Yingjuan, C. T. Russell, G. Tóth, et al.. (2018). Reconnection in the Martian Magnetotail: Hall‐MHD With Embedded Particle‐in‐Cell Simulations. Journal of Geophysical Research Space Physics. 123(5). 3742–3763. 22 indexed citations
14.
Thoman, Peter, Thomas Heller, Roman Iakymchuk, et al.. (2018). A taxonomy of task-based parallel programming technologies for high-performance computing. The Journal of Supercomputing. 74(4). 1422–1434. 75 indexed citations
15.
Chen, Yuxi, G. Tóth, P. A. Cassak, et al.. (2017). Global Three‐Dimensional Simulation of Earth's Dayside Reconnection Using a Two‐Way Coupled Magnetohydrodynamics With Embedded Particle‐in‐Cell Model: Initial Results. Journal of Geophysical Research Space Physics. 122(10). 68 indexed citations
16.
Khotyaintsev, Y. V., Andrey Divin, A. Vaivads, M. André, & Stefano Markidis. (2017). Energy conversion at dipolarization fronts. Geophysical Research Letters. 44(3). 1234–1242. 48 indexed citations
17.
Divin, Andrey, Y. V. Khotyaintsev, A. Vaivads, et al.. (2016). Three‐scale structure of diffusion region in the presence of cold ions. Journal of Geophysical Research Space Physics. 121(12). 30 indexed citations
18.
Divin, Andrey, Y. V. Khotyaintsev, A. Vaivads, et al.. (2015). Evolution of the lower hybrid drift instability at reconnection jet front. Journal of Geophysical Research Space Physics. 120(4). 2675–2690. 66 indexed citations
19.
Lapenta, Giovanni & Stefano Markidis. (2011). Particle Acceleration and Energy Conservation in Particle In Cell Simulations. Bulletin of the American Physical Society. 53. 1 indexed citations
20.
Jain, Prashant, et al.. (2006). Web-casting of nuclear reactor experiments. Transactions of the American Nuclear Society. 95(1). 994–996. 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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