Francesco Miniati

5.4k total citations · 1 hit paper
68 papers, 2.9k citations indexed

About

Francesco Miniati is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Computational Mechanics. According to data from OpenAlex, Francesco Miniati has authored 68 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Astronomy and Astrophysics, 36 papers in Nuclear and High Energy Physics and 8 papers in Computational Mechanics. Recurrent topics in Francesco Miniati's work include Astrophysics and Cosmic Phenomena (32 papers), Galaxies: Formation, Evolution, Phenomena (27 papers) and Astrophysics and Star Formation Studies (17 papers). Francesco Miniati is often cited by papers focused on Astrophysics and Cosmic Phenomena (32 papers), Galaxies: Formation, Evolution, Phenomena (27 papers) and Astrophysics and Star Formation Studies (17 papers). Francesco Miniati collaborates with scholars based in Switzerland, Germany and United States. Francesco Miniati's co-authors include Dongsu Ryu, T. W. Jones, T. A. Enßlin, G. Sigl, S. J. Lilly, Hyesung Kang, A. Finoguenov, Marcel Bernet, Adam Frank and Philipp P. Kronberg and has published in prestigious journals such as Nature, Physical Review Letters and The Astrophysical Journal.

In The Last Decade

Francesco Miniati

64 papers receiving 2.8k citations

Hit Papers

Fundamental differences between SPH and grid methods 2007 2026 2013 2019 2007 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Fundamental differences between SPH and grid methods
    2007 332 citations Francesco Miniati et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Miniati Switzerland 27 2.4k 1.5k 308 289 94 68 2.9k
Dongsu Ryu South Korea 40 3.5k 1.5× 2.3k 1.5× 418 1.4× 143 0.5× 144 1.5× 134 4.0k
John M. Blondin United States 35 3.3k 1.4× 1.7k 1.2× 211 0.7× 101 0.3× 43 0.5× 93 3.7k
Aneta Siemiginowska United States 32 3.1k 1.3× 1.8k 1.2× 67 0.2× 213 0.7× 59 0.6× 155 3.3k
P. Londrillo Italy 18 904 0.4× 588 0.4× 295 1.0× 165 0.6× 111 1.2× 54 1.4k
G. V. Bicknell Australia 38 3.9k 1.6× 2.3k 1.6× 170 0.6× 289 1.0× 22 0.2× 149 4.1k
G. Bodo Italy 29 3.1k 1.3× 1.6k 1.1× 567 1.8× 50 0.2× 146 1.6× 133 3.6k
Johannes Büchner Germany 22 2.3k 1.0× 679 0.5× 90 0.3× 459 1.6× 22 0.2× 89 2.6k
I. M. McHardy United Kingdom 34 4.4k 1.8× 2.1k 1.4× 96 0.3× 370 1.3× 45 0.5× 150 4.6k
Rick Edelson United States 26 3.1k 1.3× 1.6k 1.1× 66 0.2× 153 0.5× 30 0.3× 53 3.3k
R. H. Sanders Netherlands 26 2.4k 1.0× 978 0.7× 102 0.3× 440 1.5× 57 0.6× 92 2.6k

Countries citing papers authored by Francesco Miniati

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Miniati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Miniati

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Miniati. A scholar is included among the top collaborators of Francesco Miniati 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 Francesco Miniati. Francesco Miniati 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.
Danise, Silvia, Ilaria Baneschi, Martina Casalini, et al.. (2024). Sclerochronology of the large scallops Gigantopecten latissimus and Pecten jacobaeus in a Pliocene warmer Mediterranean Sea. Palaeogeography Palaeoclimatology Palaeoecology. 654. 112429–112429.
2.
Miniati, Francesco & G. Gregori. (2022). Learning transport processes with machine intelligence. Scientific Reports. 12(1). 11709–11709. 4 indexed citations
3.
Miniati, Francesco, G. Gregori, Brian Reville, & S. Sarkar. (2018). Axion-Driven Cosmic Magnetogenesis during the QCD Crossover. Physical Review Letters. 121(2). 21301–21301. 11 indexed citations
4.
Carollo, C. M., A. Cibinel, S. J. Lilly, et al.. (2016). ZENS. IV. Similar morphological changes associated with mass quenching and environment quenching and the relative importance of bulge growth versus the fading of disks. Figshare. 16 indexed citations
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Silverman, J. D., Francesco Miniati, A. Finoguenov, et al.. (2014). The X-Ray Zurich Environmental Study (X-ZENS). I. Chandra and XMM-Newton observations of active galactic nuclei in galaxies in nearby groups. Figshare. 4 indexed citations
7.
Pipino, A., A. Cibinel, Sandro Tacchella, et al.. (2014). THE ZURICH ENVIRONMENTAL STUDY (ZENS) OF GALAXIES IN GROUPS ALONG THE COSMIC WEB. V. PROPERTIES AND FREQUENCY OF MERGING SATELLITES AND CENTRALS IN DIFFERENT ENVIRONMENTS. The Astrophysical Journal. 797(2). 127–127. 9 indexed citations
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Miniati, Francesco & A. Elyiv. (2012). Relaxation of Blazar Induced Pair Beams in Cosmic Voids: Measurement of Magnetic Field in Voids and Thermal History of the IGM. arXiv (Cornell University). 3 indexed citations
11.
Schlickeiser, R., et al.. (2012). THE PAIR BEAM PRODUCTION SPECTRUM FROM PHOTON-PHOTON ANNIHILATION IN COSMIC VOIDS. The Astrophysical Journal. 758(2). 101–101. 19 indexed citations
12.
Schlickeiser, R., et al.. (2012). Plasma effects on fast pair beams in cosmic voids. 2A–8. 2 indexed citations
13.
Enßlin, T. A., Christoph Pfrommer, Francesco Miniati, & Kandaswamy Subramanian. (2011). Cosmic ray transport in galaxy clusters: implications for radio halos, gamma-ray signatures, and cool core heating. Springer Link (Chiba Institute of Technology). 98 indexed citations
14.
Miniati, Francesco & A. R. Bell. (2011). RESISTIVE MAGNETIC FIELD GENERATION AT COSMIC DAWN. The Astrophysical Journal. 729(1). 73–73. 49 indexed citations
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Bernet, Marcel, Francesco Miniati, S. J. Lilly, Philipp P. Kronberg, & M. Dessauges‐Zavadsky. (2008). Strong magnetic fields in normal galaxies at high redshift. Nature. 454(7202). 302–304. 195 indexed citations
17.
Miniati, Francesco & Phillip Colella. (2007). Block structured adaptive mesh and time refinement for hybrid, hyperbolic+N-body systems. Journal of Computational Physics. 227(1). 400–430. 40 indexed citations
18.
Miniati, Francesco & Phillip Colella. (2006). A modified higher order Godunov’s scheme for stiff source conservative hydrodynamics. Journal of Computational Physics. 224(2). 519–538. 23 indexed citations
19.
Miniati, Francesco. (2003). Numerical modelling of gamma radiation from galaxy clusters. Monthly Notices of the Royal Astronomical Society. 342(4). 1009–1020. 63 indexed citations
20.
Sigl, G., Francesco Miniati, & T. A. Enßlin. (2003). Ultrahigh energy cosmic rays in a structured and magnetized universe. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 68(4). 67 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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