R. D’Abrusco

2.3k total citations
70 papers, 1.1k citations indexed

About

R. D’Abrusco is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, R. D’Abrusco has authored 70 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Astronomy and Astrophysics, 35 papers in Nuclear and High Energy Physics and 12 papers in Instrumentation. Recurrent topics in R. D’Abrusco's work include Astrophysics and Cosmic Phenomena (34 papers), Dark Matter and Cosmic Phenomena (23 papers) and Galaxies: Formation, Evolution, Phenomena (22 papers). R. D’Abrusco is often cited by papers focused on Astrophysics and Cosmic Phenomena (34 papers), Dark Matter and Cosmic Phenomena (23 papers) and Galaxies: Formation, Evolution, Phenomena (22 papers). R. D’Abrusco collaborates with scholars based in United States, Italy and Chile. R. D’Abrusco's co-authors include F. Massaro, H. A. Smith, G. Tosti, A. Paggi, N. Masetti, J. E. Grindlay, M. Paolillo, M. Ajello, G. Longo and N. R. Napolitano and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

R. D’Abrusco

61 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. D’Abrusco United States 20 916 601 257 75 30 70 1.1k
Chiaki Hikage Japan 20 1.1k 1.3× 360 0.6× 298 1.2× 74 1.0× 37 1.2× 41 1.2k
Eyal Kazin United States 9 1.2k 1.3× 418 0.7× 346 1.3× 44 0.6× 35 1.2× 11 1.2k
Jean‐Michel Alimi France 19 987 1.1× 524 0.9× 162 0.6× 31 0.4× 20 0.7× 115 1.1k
Stéphane Colombi France 15 947 1.0× 347 0.6× 236 0.9× 30 0.4× 18 0.6× 29 1.0k
W. L. Williams Netherlands 21 1.2k 1.4× 824 1.4× 173 0.7× 24 0.3× 28 0.9× 62 1.3k
Yogesh Wadadekar India 17 702 0.8× 237 0.4× 272 1.1× 70 0.9× 75 2.5× 47 754
Y. Ascasíbar Spain 18 962 1.1× 238 0.4× 441 1.7× 38 0.5× 21 0.7× 55 1.0k
Radosław Wojtak Denmark 21 1.1k 1.2× 372 0.6× 292 1.1× 54 0.7× 30 1.0× 49 1.2k
Steffen Heß Germany 10 915 1.0× 228 0.4× 393 1.5× 58 0.8× 33 1.1× 18 1.0k
Marcel P. van Daalen Netherlands 12 872 1.0× 299 0.5× 364 1.4× 35 0.5× 20 0.7× 23 944

Countries citing papers authored by R. D’Abrusco

Since Specialization
Citations

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

Fields of papers citing papers by R. D’Abrusco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. D’Abrusco. 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 R. D’Abrusco. The network helps show where R. D’Abrusco may publish in the future.

Co-authorship network of co-authors of R. D’Abrusco

This figure shows the co-authorship network connecting the top 25 collaborators of R. D’Abrusco. A scholar is included among the top collaborators of R. D’Abrusco 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 R. D’Abrusco. R. D’Abrusco 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.
Evans, I. N., Juan Rafael Martínez-Galarza, Joseph B. Miller, et al.. (2024). The Chandra Source Catalog Release 2 Series. The Astrophysical Journal Supplement Series. 274(2). 22–22. 17 indexed citations
2.
D’Abrusco, R., Sharon Hunt, L. M. Rebull, et al.. (2024). Assessing your Observatory’s Impact: Best Practices in Establishing and Maintaining Observatory Bibliographies. SHILAP Revista de lepidopterología. 7.
3.
Peña-Herazo, H. A., F. Massaro, V. Chavushyan, et al.. (2023). Optical Spectroscopic Observations of Gamma-Ray Blazar Candidates. XII. Follow-up Observations from SOAR, Blanco, NTT, and OAN-SPM. The Astronomical Journal. 165(3). 127–127. 3 indexed citations
4.
D’Abrusco, R., et al.. (2022). Spatial Structures in the Globular Cluster Distribution of Fornax Cluster Galaxies. The Astrophysical Journal. 927(1). 15–15. 1 indexed citations
5.
Peña-Herazo, H. A., A. Paggi, F. Massaro, et al.. (2021). Optical Spectroscopic Observations of Gamma-ray Blazar Candidates. XI. Optical Observations from SOAR, Blanco, NTT and OAN-SPM. The Story So Far. The Astronomical Journal. 162(5). 177–177. 10 indexed citations
6.
Napolitano, N. R., Chiara Spiniello, Michele Cantiello, et al.. (2021). The Fornax Cluster VLT Spectroscopic Survey. Astronomy and Astrophysics. 657. A94–A94. 6 indexed citations
7.
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
8.
Marchesini, E. J., A. Paggi, F. Massaro, et al.. (2020). The γ-ray sky seen at X-ray energies. II. The Swift hunt of Fermi BL Lac objects among unidentified γ-ray sources. arXiv (Cornell University). 638. 128–140. 2 indexed citations
9.
Kim, Dong‐Woo, A. Paggi, Ewan O’Sullivan, et al.. (2019). Temperature profiles of hot gas in early-type galaxies. Monthly Notices of the Royal Astronomical Society. 492(2). 2095–2118. 5 indexed citations
10.
Angora, G., M. Brescia, S. Cavuoti, et al.. (2019). Astroinformatics-based search for globular clusters in the Fornax Deep Survey. Monthly Notices of the Royal Astronomical Society. 490(3). 4080–4106. 4 indexed citations
11.
Marchesini, E. J., A. Paggi, F. Massaro, et al.. (2019). The γ-ray sky seen at X-ray energies. Astronomy and Astrophysics. 631. A150–A150. 11 indexed citations
12.
Menezes, Raniere de, H. A. Peña-Herazo, E. J. Marchesini, et al.. (2019). Optical characterization of WISE selected blazar candidates. Astronomy and Astrophysics. 630. A55–A55. 11 indexed citations
13.
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
14.
Iodice, E., Marilena Spavone, Michele Cantiello, et al.. (2017). Intracluster patches of baryons in the core of the Fornax cluster. University of Oulu Repository (University of Oulu). 37 indexed citations
15.
Iodice, E., Marilena Spavone, M. Capaccioli, et al.. (2017). The Fornax Deep Survey with VST. II. Fornax A: A Two-phase Assembly Caught in the Act. The Astrophysical Journal. 839(1). 21–21. 51 indexed citations
16.
Massaro, F., et al.. (2013). Blazers Spectral Properties at 74 Mhz. University of North Texas Digital Library (University of North Texas). 1 indexed citations
17.
Busko, I., et al.. (2013). Extending Iris: The VAO SED Analysis Tool. ASPC. 475. 295. 2 indexed citations
18.
Massaro, F., R. D’Abrusco, & A. Paggi. (2012). Confirming the BL Lac nature of the low energy counterpart of the new VHE source VER J0521+211 with WISE. ATel. 4128. 1.
19.
Djorgovski, S. G., G. Longo, M. Brescia, et al.. (2012). DAta Mining and Exploration (DAME): New Tools for Knowledge Discovery in Astronomy. 219. 1 indexed citations
20.
Capozzi, D., E. De Filippis, M. Paolillo, R. D’Abrusco, & G. Longo. (2009). The properties of the heterogeneous Shakhbazyan groups of galaxies in the SDSS. Monthly Notices of the Royal Astronomical Society. 396(2). 900–917. 12 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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