Matteo Correnti

113 total papers · 2.8k total citations
34 papers, 519 citations indexed

About

Matteo Correnti is a scholar working on Astronomy and Astrophysics, Instrumentation and Statistical and Nonlinear Physics. According to data from OpenAlex, Matteo Correnti has authored 34 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Astronomy and Astrophysics, 22 papers in Instrumentation and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Matteo Correnti's work include Stellar, planetary, and galactic studies (32 papers), Astronomy and Astrophysical Research (22 papers) and Astrophysics and Star Formation Studies (17 papers). Matteo Correnti is often cited by papers focused on Stellar, planetary, and galactic studies (32 papers), Astronomy and Astrophysical Research (22 papers) and Astrophysics and Star Formation Studies (17 papers). Matteo Correnti collaborates with scholars based in United States, Italy and France. Matteo Correnti's co-authors include M. Bellazzini, F. R. Ferraro, Paul Goudfrooij, Thomas H. Puzia, L. Monaco, Andrea Bellini, S. E. de Mink, Rodrigo Ibata, Nicolas F. Martin and A. Sollima 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

Matteo Correnti

30 papers receiving 482 citations

Author Peers

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

Author						Papers	Cites
Matteo Correnti	508	285	18	12	7	34	519
Dana I. Casetti‐Dinescu	398 0.8×	184 0.6×	25 1.4×	11 0.9×	9 1.3×	28	455
Emily C. Cunningham	503 1.0×	266 0.9×	29 1.6×	9 0.8×	6 0.9×	32	526
Leonardo Úbeda	433 0.9×	138 0.5×	17 0.9×	15 1.3×	4 0.6×	25	461
P. Westera	509 1.0×	293 1.0×	14 0.8×	18 1.5×	5 0.7×	18	514
C. E. Corsi	491 1.0×	255 0.9×	23 1.3×	13 1.1×	11 1.6×	26	500
Danny Horta	487 1.0×	263 0.9×	20 1.1×	7 0.6×	15 2.1×	36	523
A. Niedzielski	593 1.2×	341 1.2×	25 1.4×	9 0.8×	9 1.3×	50	599
Jongsuk Hong	557 1.1×	246 0.9×	24 1.3×	17 1.4×	3 0.4×	33	585
A. Cortesi	485 1.0×	342 1.2×	31 1.7×	25 2.1×	12 1.7×	32	502
Ana L. Chies-Santos	588 1.2×	358 1.3×	18 1.0×	26 2.2×	4 0.6×	59	610

Countries citing papers authored by Matteo Correnti

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Correnti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Correnti

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

All Works

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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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