L. P. Cassará

2.4k total citations
25 papers, 522 citations indexed

About

L. P. Cassará is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, L. P. Cassará has authored 25 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Astronomy and Astrophysics, 5 papers in Instrumentation and 4 papers in Nuclear and High Energy Physics. Recurrent topics in L. P. Cassará's work include Galaxies: Formation, Evolution, Phenomena (18 papers), Astrophysics and Star Formation Studies (13 papers) and Stellar, planetary, and galactic studies (11 papers). L. P. Cassará is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (18 papers), Astrophysics and Star Formation Studies (13 papers) and Stellar, planetary, and galactic studies (11 papers). L. P. Cassará collaborates with scholars based in Italy, United Kingdom and France. L. P. Cassará's co-authors include E. M. Xilouris, А. В. Мосенков, M. Baes, S. C. Madden, S. Viaene, V. Casasola, S. Bianchi, Ilse De Looze, M. Galametz and Christopher Clark 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

L. P. Cassará

21 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. P. Cassará Italy 12 511 175 51 29 26 25 522
Carlos López-Cobá Mexico 10 552 1.1× 232 1.3× 62 1.2× 30 1.0× 29 1.1× 23 588
R. Wu France 11 623 1.2× 205 1.2× 53 1.0× 14 0.5× 24 0.9× 15 637
S. Lianou Greece 10 432 0.8× 153 0.9× 34 0.7× 13 0.4× 17 0.7× 17 441
M. Argudo–Fernández Spain 16 697 1.4× 366 2.1× 42 0.8× 26 0.9× 26 1.0× 32 720
A. L. de Amorim Brazil 12 767 1.5× 405 2.3× 45 0.9× 60 2.1× 52 2.0× 15 787
Ting-Wen Lan United States 10 340 0.7× 111 0.6× 70 1.4× 9 0.3× 22 0.8× 14 349
Shannon G. Patel United States 14 496 1.0× 270 1.5× 33 0.6× 14 0.5× 8 0.3× 20 499
Hai Fu United States 18 650 1.3× 228 1.3× 86 1.7× 13 0.4× 26 1.0× 36 682
Joel Roediger Canada 14 556 1.1× 353 2.0× 81 1.6× 22 0.8× 23 0.9× 27 606
K. V. Croxall United States 16 650 1.3× 183 1.0× 53 1.0× 7 0.2× 17 0.7× 22 664

Countries citing papers authored by L. P. Cassará

Since Specialization
Citations

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

Fields of papers citing papers by L. P. Cassará

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. P. Cassará. 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 L. P. Cassará. The network helps show where L. P. Cassará may publish in the future.

Co-authorship network of co-authors of L. P. Cassará

This figure shows the co-authorship network connecting the top 25 collaborators of L. P. Cassará. A scholar is included among the top collaborators of L. P. Cassará 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 L. P. Cassará. L. P. Cassará 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.
Hook, I., C. Frohmaier, G. Dimitriadis, et al.. (2025). Testing and combining transient spectral classification tools on 4MOST-like blended spectra. Monthly Notices of the Royal Astronomical Society. 543(1). 247–272.
2.
Shah, Ekta A., B. C. Lemaux, Ben Forrest, et al.. (2025). Enhanced active galactic nucleus activity in overdense galactic environments at 2 <  z  < 4. Astronomy and Astrophysics. 704. A101–A101.
3.
Napolitano, N. R., Caroline Heneka, Jens-Kristian Krogager, et al.. (2025). Galaxy Spectra Networks (GaSNet) – III. Reconstructive pre-trained network for spectrum reconstruction, redshift estimate, and anomaly detection. Monthly Notices of the Royal Astronomical Society. 543(1). 691–708. 1 indexed citations
4.
Forrest, Ben, B. C. Lemaux, Ekta A. Shah, et al.. (2024). Environmental Effects on the Stellar Mass Function in a z ∼ 3.3 Overdensity of Galaxies in the COSMOS Field*. The Astrophysical Journal. 971(2). 169–169. 8 indexed citations
5.
Bianchi, S., V. Casasola, E. Corbelli, et al.. (2022). Dust emissivity in resolved spiral galaxies. Astronomy and Astrophysics. 664. A187–A187. 6 indexed citations
6.
Belladitta, S., A. Caccianiga, A. Moretti, et al.. (2022). Central engine of the highest redshift blazar. Astronomy and Astrophysics. 660. A74–A74. 11 indexed citations
7.
Figueira, M., A. Pollo, K. Małek, et al.. (2022). SFR estimations from z = 0 to z = 0.9. Astronomy and Astrophysics. 667. A29–A29. 15 indexed citations
8.
Belladitta, S., A. Moretti, A. Caccianiga, et al.. (2022). A powerful (and likely young) radio-loud quasar at z = 5.3. Astronomy and Astrophysics. 669. A134–A134. 8 indexed citations
9.
Gargiulo, A., M. Fumana, S. Bisogni, et al.. (2022). sipgi: an interactive pipeline for spectroscopic data reduction. Monthly Notices of the Royal Astronomical Society. 514(2). 2902–2914. 9 indexed citations
10.
Lee, Kyoung-Soo, O. Cucciati, B. C. Lemaux, et al.. (2022). Evaluating Lyα Emission as a Tracer of the Largest Cosmic Structure at z ∼ 2.47. The Astrophysical Journal. 941(2). 134–134. 11 indexed citations
11.
Giannini, T., A. Giunta, Manuele Gangi, et al.. (2022). EXORCISM: A Spectroscopic Survey of Young Eruptive Variables (EXor and Candidates). The Astrophysical Journal. 929(2). 129–129. 10 indexed citations
12.
Vietri, G., B. Garilli, M. Polletta, et al.. (2021). The Type II AGN-host galaxy connection. Astronomy and Astrophysics. 659. A129–A129. 18 indexed citations
13.
Trčka, Ana, M. Baes, Peter Camps, et al.. (2020). Reproducing the Universe: a comparison between the EAGLE simulations and the nearby DustPedia galaxy sample. Monthly Notices of the Royal Astronomical Society. 494(2). 2823–2838. 34 indexed citations
14.
Baes, M., Angelos Nersesian, V. Casasola, et al.. (2020). Nonparametric galaxy morphology from UV to submm wavelengths. Springer Link (Chiba Institute of Technology). 20 indexed citations
15.
Clark, Christopher, M. Baes, S. Bianchi, et al.. (2019). The first maps of κd – the dust mass absorption coefficient – in nearby galaxies, with DustPedia. Monthly Notices of the Royal Astronomical Society. 489(4). 5256–5283. 36 indexed citations
16.
Bianchi, S., Pieter De Vis, S. Viaene, et al.. (2018). Fraction of bolometric luminosity absorbed by dust in DustPedia galaxies. Springer Link (Chiba Institute of Technology). 43 indexed citations
17.
Pasetto, S., E. K. Grebel, C. Chiosi, et al.. (2018). GalMod: A Galactic Synthesis Population Model. The Astrophysical Journal. 860(2). 120–120. 6 indexed citations
18.
Clark, Christopher, Sam Verstocken, S. Bianchi, et al.. (2017). DustPedia: Multiwavelength photometry and imagery of 875 nearby galaxies in 42 ultraviolet-microwave bands. Astronomy and Astrophysics. 609. A37–A37. 78 indexed citations
19.
Cassará, L. P., et al.. (2015). Modelling galaxy spectra in presence of interstellar dust – III. From nearby galaxies to the distant Universe. Monthly Notices of the Royal Astronomical Society. 450(3). 2231–2250. 2 indexed citations
20.
Salaris, M., et al.. (2014). Detailed AGB evolutionary models and near-infrared colours of intermediate-age stellar populations: tests on star clusters. Astronomy and Astrophysics. 565. A9–A9. 18 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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