A. Cava

13.3k total citations
55 papers, 1.7k citations indexed

About

A. Cava is a scholar working on Astronomy and Astrophysics, Instrumentation and Ecology. According to data from OpenAlex, A. Cava has authored 55 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Astronomy and Astrophysics, 43 papers in Instrumentation and 6 papers in Ecology. Recurrent topics in A. Cava's work include Galaxies: Formation, Evolution, Phenomena (53 papers), Astronomy and Astrophysical Research (43 papers) and Stellar, planetary, and galactic studies (29 papers). A. Cava is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (53 papers), Astronomy and Astrophysical Research (43 papers) and Stellar, planetary, and galactic studies (29 papers). A. Cava collaborates with scholars based in Spain, Italy and United States. A. Cava's co-authors include A. Poglitsch, D. Bettoni, Bianca M. Poggianti, J. Varela, G. Fasano, J. Fritz, M. D’Onofrio, M. Moles, W. J. Couch and A. Moretti and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and The Astrophysical Journal Supplement Series.

In The Last Decade

A. Cava

50 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Cava Spain 25 1.7k 1.1k 142 124 73 55 1.7k
Vandana Desai United States 23 1.8k 1.1× 1.0k 0.9× 140 1.0× 87 0.7× 84 1.2× 59 1.8k
Marilena Spavone Italy 23 1.3k 0.8× 838 0.7× 67 0.5× 108 0.9× 67 0.9× 69 1.4k
Sean McGee United Kingdom 27 1.7k 1.0× 1.0k 0.9× 207 1.5× 90 0.7× 41 0.6× 62 1.8k
B. Ziegler Germany 25 1.8k 1.0× 1.0k 0.9× 164 1.2× 58 0.5× 50 0.7× 78 1.8k
R. Demarco United States 27 2.0k 1.2× 1.3k 1.1× 214 1.5× 99 0.8× 80 1.1× 87 2.0k
E. Ricciardelli Spain 17 2.0k 1.2× 1.3k 1.1× 121 0.9× 81 0.7× 44 0.6× 22 2.0k
Guangtun Zhu United States 21 1.4k 0.8× 681 0.6× 196 1.4× 88 0.7× 50 0.7× 32 1.4k
Rosalind E. Skelton South Africa 18 1.6k 1.0× 1.0k 0.9× 145 1.0× 53 0.4× 50 0.7× 33 1.7k
Augustus Oemler United States 19 2.1k 1.2× 1.3k 1.2× 183 1.3× 150 1.2× 64 0.9× 27 2.1k
M. Kleinheinrich Germany 10 1.4k 0.8× 917 0.8× 142 1.0× 102 0.8× 92 1.3× 11 1.4k

Countries citing papers authored by A. Cava

Since Specialization
Citations

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

Fields of papers citing papers by A. Cava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Cava

This figure shows the co-authorship network connecting the top 25 collaborators of A. Cava. A scholar is included among the top collaborators of A. Cava 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 A. Cava. A. Cava 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.
Cava, A. & Antonio Ruiz‐Martínez. (2024). WebTrackingScore: A Combined Web Tracking Risk Score System for Websites. Future Internet. 17(1). 3–3.
2.
Mamon, G. A., A. Cava, A. Biviano, et al.. (2019). Structural and dynamical modeling of WINGS clusters. Astronomy and Astrophysics. 631. A131–A131. 33 indexed citations
3.
Borlaff, Alejandro, M. C. Eliche‐Moral, J. E. Beckman, et al.. (2018). Evolution of the anti-truncated stellar profiles of S0 galaxies since z = 0.6 in the SHARDS survey. Astronomy and Astrophysics. 615. A26–A26. 5 indexed citations
4.
Girard, Marianne, M. Dessauges‐Zavadsky, D. Schaerer, et al.. (2018). KMOS LENsing Survey (KLENS): Morpho-kinematic analysis of star-forming galaxies at z ~ 2. Springer Link (Chiba Institute of Technology). 15 indexed citations
5.
Moretti, A., Marco Gullieuszik, Bianca M. Poggianti, et al.. (2017). OmegaWINGS: spectroscopy in the outskirts of local clusters of galaxies. Springer Link (Chiba Institute of Technology). 22 indexed citations
6.
Paccagnella, A., Benedetta Vulcani, Bianca M. Poggianti, et al.. (2017). OmegaWINGS: The First Complete Census of Post-starburst Galaxies in Clusters in the Local Universe. The Astrophysical Journal. 838(2). 148–148. 40 indexed citations
7.
Biviano, A., A. Moretti, A. Paccagnella, et al.. (2017). The concentration–mass relation of clusters of galaxies from the OmegaWINGS survey. Astronomy and Astrophysics. 607. A81–A81. 49 indexed citations
8.
Cava, A., A. Biviano, G. A. Mamon, et al.. (2017). Structural and dynamical modeling of WINGS clusters. Astronomy and Astrophysics. 606. A108–A108. 22 indexed citations
9.
Marziani, P., D. Bettoni, Bianca M. Poggianti, et al.. (2016). Emission line galaxies and active galactic nuclei in WINGS clusters. Astronomy and Astrophysics. 599. A83–A83. 10 indexed citations
10.
Dessauges‐Zavadsky, M., A. Cava, D. Schaerer, et al.. (2015). IAU volume 12 issue S316 Cover and Front matter. Proceedings of the International Astronomical Union. 12(S316). f1–f23. 2 indexed citations
11.
Ricciardelli, E., A. Cava, J. Varela, & Vicent Quilis. (2014). The star formation activity in cosmic voids. Monthly Notices of the Royal Astronomical Society. 445(4). 4045–4054. 32 indexed citations
12.
Moretti, A., Bianca M. Poggianti, G. Fasano, et al.. (2014). WINGS Data Release: a database of galaxies in nearby clusters. Astronomy and Astrophysics. 564. A138–A138. 56 indexed citations
13.
Bongiovanni, Á., I. Oteo, J. Cepa, et al.. (2013). Herschel ⋆ FIR counterparts of selected Lyα emitters at z2.2 Fast evolution since z3 or missed obscured AGNs?. arXiv (Cornell University). 5 indexed citations
14.
Omizzolo, A., G. Fasano, D. Paya, et al.. (2013). U-band photometry of 17 WINGS clusters. Astronomy and Astrophysics. 561. A111–A111. 14 indexed citations
15.
Cava, A. & A. Poglitsch. (2011). PACS Evolutionary Probe (PEP) - A Herschel key program. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 169 indexed citations
16.
Valentinuzzi, T., Bianca M. Poggianti, G. Fasano, et al.. (2011). The red-sequence of 72 WINGS local galaxy clusters. Astronomy and Astrophysics. 536. A34–A34. 30 indexed citations
17.
Cava, A., D. Bettoni, Bianca M. Poggianti, et al.. (2009). WINGS-SPE Spectroscopy in the WIde-field Nearby Galaxy-cluster Survey. Astronomy and Astrophysics. 495(3). 707–719. 102 indexed citations
18.
Valentinuzzi, T., David Woods, G. Fasano, et al.. (2009). WINGS: a WIde-field nearby Galaxy-cluster survey. Astronomy and Astrophysics. 501(3). 851–864. 41 indexed citations
19.
Fritz, J., Bianca M. Poggianti, D. Bettoni, et al.. (2007). A spectrophotometric model applied to cluster galaxies: the WINGS dataset. Astronomy and Astrophysics. 470(1). 137–152. 52 indexed citations
20.
Bertin, G. & A. Cava. (2006). Local stability of self-gravitating fluid disks made of two components in relative motion. Astronomy and Astrophysics. 459(2). 333–339. 5 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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