Massimo Capaccioli

2.7k total citations
46 papers, 1.2k citations indexed

About

Massimo Capaccioli is a scholar working on Astronomy and Astrophysics, Instrumentation and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Massimo Capaccioli has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Astronomy and Astrophysics, 26 papers in Instrumentation and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Massimo Capaccioli's work include Galaxies: Formation, Evolution, Phenomena (28 papers), Astronomy and Astrophysical Research (26 papers) and Stellar, planetary, and galactic studies (25 papers). Massimo Capaccioli is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (28 papers), Astronomy and Astrophysical Research (26 papers) and Stellar, planetary, and galactic studies (25 papers). Massimo Capaccioli collaborates with scholars based in Italy, Australia and Chile. Massimo Capaccioli's co-authors include N. R. Napolitano, M. Arnaboldi, K. C. Freeman, Michele Cantiello, Aaron J. Romanowsky, Konrad Kuijken, M. R. Merrifield, Nigel G. Douglas, M. Della Valle and M. D’Onofrio and has published in prestigious journals such as Science, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Massimo Capaccioli

45 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Massimo Capaccioli 1.1k 610 93 92 53 46 1.2k
P. Prugniel 1.5k 1.3× 756 1.2× 117 1.3× 63 0.7× 49 0.9× 42 1.5k
Richard G. Kron 1.2k 1.1× 617 1.0× 161 1.7× 64 0.7× 40 0.8× 42 1.3k
А. В. Мосенков 1.1k 1.0× 476 0.8× 82 0.9× 48 0.5× 61 1.2× 76 1.2k
Justin Harker 1.0k 0.9× 442 0.7× 166 1.8× 85 0.9× 37 0.7× 11 1.1k
M. Lyubenova 1.4k 1.3× 874 1.4× 78 0.8× 68 0.7× 61 1.2× 62 1.5k
J. Krzesiński 1.3k 1.2× 667 1.1× 103 1.1× 48 0.5× 32 0.6× 42 1.4k
Mireia Montes 990 0.9× 579 0.9× 98 1.1× 76 0.8× 32 0.6× 39 1.1k
Richard Murowinski 1.7k 1.5× 977 1.6× 144 1.5× 137 1.5× 42 0.8× 47 1.8k
Kyle B. Westfall 1.8k 1.6× 876 1.4× 136 1.5× 95 1.0× 61 1.2× 48 1.8k
Ph. Prugniel 1.9k 1.7× 1.1k 1.8× 141 1.5× 73 0.8× 55 1.0× 46 1.9k

Countries citing papers authored by Massimo Capaccioli

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Capaccioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Capaccioli

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Capaccioli. A scholar is included among the top collaborators of Massimo Capaccioli 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 Massimo Capaccioli. Massimo Capaccioli 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.
Scott, Nicholas, R. F. Peletier, Julia J. Bryant, et al.. (2020). The SAMI–Fornax Dwarfs Survey I: sample, observations, and the specific stellar angular momentum of dwarf elliptical galaxies. Monthly Notices of the Royal Astronomical Society. 497(2). 1571–1582. 27 indexed citations
2.
Venhola, A., R. F. Peletier, E. Laurikainen, et al.. (2020). The Fornax Deep Survey (FDS) with VST. Astronomy and Astrophysics. 633. C2–C2. 1 indexed citations
3.
Iodice, E., Marilena Spavone, Duncan A. Forbes, et al.. (2020). VEGAS: a VST Early-type GAlaxy Survey. Astronomy and Astrophysics. 635. A3–A3. 22 indexed citations
4.
Cantiello, Michele, A. Grado, M. Rejkuba, et al.. (2018). A VST and VISTA study of globular clusters in NGC 253. Springer Link (Chiba Institute of Technology). 8 indexed citations
5.
Cantiello, Michele, R. D’Abrusco, Marilena Spavone, et al.. (2018). VEGAS-SSS. II. Comparing the globular cluster systems in NGC 3115 and NGC 1399 using VEGAS and FDS survey data. Astronomy and Astrophysics. 611. A93–A93. 30 indexed citations
6.
Fu, Liping, M. Radovich, Xiangkun Liu, et al.. (2018). Weak-lensing study in VOICE survey – I. Shear measurement. Monthly Notices of the Royal Astronomical Society. 479(3). 3858–3872. 7 indexed citations
7.
Spavone, Marilena, Massimo Capaccioli, N. R. Napolitano, et al.. (2017). A Photometric Study of Giant Ellipticals and Their Stellar Halos With VST. Galaxies. 5(3). 31–31. 2 indexed citations
8.
Spavone, Marilena, Massimo Capaccioli, N. R. Napolitano, et al.. (2017). VEGAS: A VST Early-type GAlaxy Survey. Astronomy and Astrophysics. 603. A38–A38. 62 indexed citations
9.
Venhola, A., R. F. Peletier, E. Laurikainen, et al.. (2017). The Fornax Deep Survey with VST. III. Low surface brightness dwarfs and ultra diffuse galaxies in the center of the Fornax cluster. University of Groningen research database (University of Groningen / Centre for Information Technology). 49 indexed citations
10.
Venhola, A., R. F. Peletier, E. Laurikainen, et al.. (2017). The Fornax Deep Survey (FDS) with the VST: III. Low Surface Brightness (LSB) dwarfs and Ultra Diffuse Galaxies (UDGs) in the center of the Fornax cluster. arXiv (Cornell University). 104 indexed citations
11.
Cantiello, Michele, Massimo Capaccioli, N. R. Napolitano, et al.. (2015). VEGAS-SSS. A VST early-type galaxy survey: analysis of small stellar systems - testing the methodology on the globular cluster system in NGC3115. NPARC. 8 indexed citations
12.
Capaccioli, Massimo, Marilena Spavone, A. Grado, et al.. (2015). VEGAS: A VST Early-type GAlaxy Survey. Astronomy and Astrophysics. 581. A10–A10. 62 indexed citations
13.
Cantiello, Michele, Massimo Capaccioli, N. R. Napolitano, et al.. (2014). VEGAS-SSS. A VST early-type galaxy survey: analysis of small stellar systems. Astronomy and Astrophysics. 576. A14–A14. 11 indexed citations
14.
Sazhin, M. V., et al.. (2010). Gravitational Lens Images Generated by Cosmic Strings. 3(1). 200–206. 4 indexed citations
15.
Capaccioli, Massimo. (2005). La natura delle cose. 31(2). 1000–1008. 6 indexed citations
16.
Djorgovski, S. G., G. Piotto, & Massimo Capaccioli. (1993). What determines the stellar mass functions in globular clusters?. The Astronomical Journal. 105. 2148–2148. 33 indexed citations
17.
Longo, G. & Massimo Capaccioli. (1992). IUE-ULDA access guide no. 3: International Ultraviolet Explorer-Uniform Low Dispersion Archive: Normal galaxies. ESASP. 1152.
18.
Stiavelli, M., G. Piotto, Massimo Capaccioli, & S. Ortolani. (1991). Disk-shocking and the mass function of globular clusters.. ASPC. 13. 449–451. 1 indexed citations
19.
Capaccioli, Massimo, M. Della Valle, L. Rosino, & M. D’Onofrio. (1989). Properties of the nova population in M31. The Astronomical Journal. 97. 1622–1622. 77 indexed citations
20.
Capaccioli, Massimo. (1984). Astronomy with Schmidt-Type Telescopes. Astrophysics and space science library. 29 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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