Matteo Lucchini

55 total papers · 596 total citations
26 papers, 277 citations indexed

About

Matteo Lucchini is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Biomedical Engineering. According to data from OpenAlex, Matteo Lucchini has authored 26 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Astronomy and Astrophysics, 20 papers in Nuclear and High Energy Physics and 2 papers in Biomedical Engineering. Recurrent topics in Matteo Lucchini's work include Astrophysical Phenomena and Observations (24 papers), Astrophysics and Cosmic Phenomena (20 papers) and Pulsars and Gravitational Waves Research (16 papers). Matteo Lucchini is often cited by papers focused on Astrophysical Phenomena and Observations (24 papers), Astrophysics and Cosmic Phenomena (20 papers) and Pulsars and Gravitational Waves Research (16 papers). Matteo Lucchini collaborates with scholars based in United States, Netherlands and Germany. Matteo Lucchini's co-authors include Riley Connors, Sera Markoff, Javier A. García, M. van der Klis, Guglielmo Mastroserio, Thomas Dauser, Jingyi Wang, Adam Ingram, Erin Kara and Chiara Ceccobello and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and The Astrophysical Journal Letters.

In The Last Decade

Matteo Lucchini

26 papers receiving 233 citations

Author Peers

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

Author						Papers	Cites
Matteo Lucchini	259	159	42	17	6	26	277
P. Durouchoux	280 1.1×	194 1.2×	31 0.7×	15 0.9×	6 1.0×	17	293
Chia-Ying Chiang	300 1.2×	106 0.7×	39 0.9×	14 0.8×	20 3.3×	15	305
Nikolai Shaposhnikov	206 0.8×	88 0.6×	35 0.8×	25 1.5×	3 0.5×	16	209
J. E. Grove	224 0.9×	127 0.8×	28 0.7×	18 1.1×	6 1.0×	16	240
Qingcui Bu	176 0.7×	65 0.4×	27 0.6×	17 1.0×	7 1.2×	32	196
Paul A. Draghis	176 0.7×	59 0.4×	26 0.6×	14 0.8×	6 1.0×	17	186
Ruican Ma	131 0.5×	55 0.3×	37 0.9×	10 0.6×	5 0.8×	21	152
Indu K. Dihingia	258 1.0×	158 1.0×	13 0.3×	20 1.2×	2 0.3×	28	266
J. F. Parisi	108 0.4×	164 1.0×	28 0.7×	10 0.6×	7 1.2×	20	181
Arghajit Jana	292 1.1×	115 0.7×	45 1.1×	19 1.1×	11 1.8×	36	306

Countries citing papers authored by Matteo Lucchini

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Lucchini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Lucchini

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Lucchini. A scholar is included among the top collaborators of Matteo Lucchini 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 Lucchini. Matteo Lucchini 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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