E. Munari

4.0k total citations
9 papers, 306 citations indexed

About

E. Munari is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, E. Munari has authored 9 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Astronomy and Astrophysics, 5 papers in Nuclear and High Energy Physics and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in E. Munari's work include Galaxies: Formation, Evolution, Phenomena (9 papers), Cosmology and Gravitation Theories (4 papers) and Scientific Research and Discoveries (2 papers). E. Munari is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (9 papers), Cosmology and Gravitation Theories (4 papers) and Scientific Research and Discoveries (2 papers). E. Munari collaborates with scholars based in Italy, Denmark and United States. E. Munari's co-authors include A. Biviano, S. Borgani, D. Fabjan, Giuseppe Murante, G. A. Mamon, Pierluigi Monaco, E. Sefusatti, Emanuele Castorina, Faizan G Mohammad and S Anselmi and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

E. Munari

9 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Munari Italy 7 295 154 72 19 18 9 306
Evan Tucker United States 2 390 1.3× 171 1.1× 59 0.8× 19 1.0× 15 0.8× 3 402
B. Sartoris Italy 12 363 1.2× 174 1.1× 101 1.4× 12 0.6× 17 0.9× 20 392
B. Ascaso Spain 9 306 1.0× 193 1.3× 44 0.6× 17 0.9× 25 1.4× 15 317
Ed Elson South Africa 11 342 1.2× 110 0.7× 65 0.9× 12 0.6× 16 0.9× 23 365
Prajwal R. Kafle Australia 12 455 1.5× 250 1.6× 64 0.9× 16 0.8× 31 1.7× 20 469
Matías Bravo Australia 12 396 1.3× 233 1.5× 41 0.6× 26 1.4× 21 1.2× 20 405
S. Escoffier France 10 263 0.9× 87 0.6× 88 1.2× 37 1.9× 14 0.8× 18 301
Rolando Dünner Chile 5 204 0.7× 98 0.6× 37 0.5× 19 1.0× 19 1.1× 22 222
Graeme Candlish Chile 12 513 1.7× 239 1.6× 66 0.9× 15 0.8× 18 1.0× 24 529
S.-L. Blyth South Africa 12 337 1.1× 156 1.0× 60 0.8× 12 0.6× 25 1.4× 32 374

Countries citing papers authored by E. Munari

Since Specialization
Citations

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

Fields of papers citing papers by E. Munari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Munari

This figure shows the co-authorship network connecting the top 25 collaborators of E. Munari. A scholar is included among the top collaborators of E. Munari 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 E. Munari. E. Munari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Biviano, A., et al.. (2021). Dynamical analysis of clusters of galaxies from cosmological simulations. Springer Link (Chiba Institute of Technology). 6 indexed citations
2.
Ferragamo, A., J. A. Rubiño-Martín, J. Betancort‐Rijo, et al.. (2020). Biases in the estimation of velocity dispersions and dynamical masses for galaxy clusters. Springer Link (Chiba Institute of Technology). 2 indexed citations
3.
Moretti, Chiara, S. Mozzon, Pierluigi Monaco, E. Munari, & Marco Baldi. (2020). Fast numerical method to generate halo catalogues in modified gravity (part I): second-order Lagrangian perturbation theory. Monthly Notices of the Royal Astronomical Society. 493(1). 1153–1164. 8 indexed citations
4.
Grillo, C., S. Ettori, G. B. Caminha, et al.. (2018). Dissection of the Collisional and Collisionless Mass Components in a Mini Sample of CLASH and HFF Massive Galaxy Clusters at z ≈ 0.4. The Astrophysical Journal. 864(1). 98–98. 26 indexed citations
5.
Munari, E., Pierluigi Monaco, Jun Koda, et al.. (2017). Testing approximate predictions of displacements of cosmological dark matter halos. Journal of Cosmology and Astroparticle Physics. 2017(7). 50–50. 12 indexed citations
6.
Villaescusa-Navarro, Francisco, Pierluigi Monaco, E. Munari, et al.. (2017). Simulating cosmologies beyond ΛCDM with PINOCCHIO. Journal of Cosmology and Astroparticle Physics. 2017(1). 8–8. 20 indexed citations
7.
Munari, E., Pierluigi Monaco, E. Sefusatti, et al.. (2016). Improving fast generation of halo catalogues with higher order Lagrangian perturbation theory. Monthly Notices of the Royal Astronomical Society. 465(4). 4658–4677. 42 indexed citations
8.
Munari, E., A. Biviano, & G. A. Mamon. (2014). Mass, velocity anisotropy, and pseudo phase-space density profiles of Abell 2142. Astronomy and Astrophysics. 566. A68–A68. 41 indexed citations
9.
Munari, E., A. Biviano, S. Borgani, Giuseppe Murante, & D. Fabjan. (2013). The relation between velocity dispersion and mass in simulated clusters of galaxies: dependence on the tracer and the baryonic physics. Monthly Notices of the Royal Astronomical Society. 430(4). 2638–2649. 149 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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