Matteo Angelinelli

471 total citations
10 papers, 209 citations indexed

About

Matteo Angelinelli is a scholar working on Astronomy and Astrophysics, Atmospheric Science and Computer Networks and Communications. According to data from OpenAlex, Matteo Angelinelli has authored 10 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Astronomy and Astrophysics, 2 papers in Atmospheric Science and 1 paper in Computer Networks and Communications. Recurrent topics in Matteo Angelinelli's work include Galaxies: Formation, Evolution, Phenomena (7 papers), Astrophysics and Star Formation Studies (5 papers) and Astrophysical Phenomena and Observations (3 papers). Matteo Angelinelli is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (7 papers), Astrophysics and Star Formation Studies (5 papers) and Astrophysical Phenomena and Observations (3 papers). Matteo Angelinelli collaborates with scholars based in Italy, Germany and United States. Matteo Angelinelli's co-authors include F. Vazza, S. Ettori, M. Brüggen, T. W. Jones, G. Brunetti, D. Eckert, C. Gheller, Antonio Ragagnin, Klaus Dolag and C. Giocoli and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics and Applied Intelligence.

In The Last Decade

Matteo Angelinelli

8 papers receiving 187 citations

Peers

Matteo Angelinelli

AA

NHEP

INSTR

CM

MB

M. Schneiter Argentina

Jake S. Bennett United States

Cassandra Lochhaas United States

J. Alonso-Santiago Italy

M. De Pasquale United Kingdom

Noah S. J. Rogers United States

P. Afonso Germany

A. C. Updike United States

Boris Gaensicke United Kingdom

Jianghua Wu China

M. Schneiter Argentina

Matteo Angelinelli

368 ×1.9

AA

138 ×1.8

NHEP

45 ×1.0

INSTR

8 ×0.5

CM

8 ×1.3

MB

Citations per year, relative to Matteo Angelinelli Matteo Angelinelli (= 1×) peers M. Schneiter

Countries citing papers authored by Matteo Angelinelli

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Angelinelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Angelinelli

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Po, Laura, et al.. (2025). Enhancing Low-Cost Air Quality Sensors with AI for Smart Green Routing. Annals of Computer Science and Information Systems. 43. 369–374.

2.

Rožanec, Jože M., et al.. (2024). Predicting Compute Node Unavailability in HPC: A Graph-Based Machine Learning Approach. 737–740.

3.

Asperti, Andrea, et al.. (2024). Precipitation nowcasting with generative diffusion models. Applied Intelligence. 55(3). 6 indexed citations

4.

Angelinelli, Matteo, S. Ettori, Klaus Dolag, F. Vazza, & Antonio Ragagnin. (2023). Redshift evolution of the baryon and gas fraction in simulated groups and clusters of galaxies. Astronomy and Astrophysics. 675. A188–A188. 17 indexed citations

5.

Angelinelli, Matteo, S. Ettori, Klaus Dolag, F. Vazza, & Antonio Ragagnin. (2022). Mapping ‘out-of-the-box’ the properties of the baryons in massive halos. Astronomy and Astrophysics. 663. L6–L6. 21 indexed citations

6.

Angelinelli, Matteo, S. Ettori, F. Vazza, & T. W. Jones. (2021). Proprieties of clumps and filaments around galaxy clusters. Astronomy and Astrophysics. 653. A171–A171. 17 indexed citations

7.

Vazza, F., et al.. (2021). Exploring the relation between turbulent velocity and density fluctuations in the stratified intracluster medium. Astronomy and Astrophysics. 658. A149–A149. 19 indexed citations

8.

Angelinelli, Matteo, F. Vazza, C. Giocoli, et al.. (2020). Turbulent pressure support and hydrostatic mass bias in the intracluster medium. Monthly Notices of the Royal Astronomical Society. 495(1). 864–885. 54 indexed citations

9.

Vazza, F., S. Ettori, M. Roncarelli, et al.. (2019). Detecting shocked intergalactic gas with X-ray and radio observations. Springer Link (Chiba Institute of Technology). 31 indexed citations

10.

Vazza, F., Matteo Angelinelli, T. W. Jones, et al.. (2018). The turbulent pressure support in galaxy clusters revisited. Monthly Notices of the Royal Astronomical Society Letters. 481(1). L120–L124. 44 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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