S. Berta

1.4k total citations
10 papers, 485 citations indexed

About

S. Berta is a scholar working on Astronomy and Astrophysics, Instrumentation and Infectious Diseases. According to data from OpenAlex, S. Berta has authored 10 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Astronomy and Astrophysics, 4 papers in Instrumentation and 0 papers in Infectious Diseases. Recurrent topics in S. Berta's work include Galaxies: Formation, Evolution, Phenomena (10 papers), Astrophysics and Star Formation Studies (7 papers) and Stellar, planetary, and galactic studies (5 papers). S. Berta is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (10 papers), Astrophysics and Star Formation Studies (7 papers) and Stellar, planetary, and galactic studies (5 papers). S. Berta collaborates with scholars based in Italy, United States and Germany. S. Berta's co-authors include A. Franceschini, G. Zamorani, R. Maiolino, L. Pozzetti, M. Mignoli, A. Cimatti, A. Renzini, G. Rodighiero, P. Cassata and J. Kurk 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

S. Berta

10 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Berta Italy 10 484 285 45 23 15 10 485
S. Heinis France 9 515 1.1× 261 0.9× 60 1.3× 14 0.6× 16 1.1× 11 519
A. Cimatti Italy 4 324 0.7× 176 0.6× 52 1.2× 19 0.8× 12 0.8× 4 330
L. Paioro Italy 9 455 0.9× 199 0.7× 39 0.9× 14 0.6× 12 0.8× 13 460
Omar Lopez‐Cruz Mexico 10 374 0.8× 207 0.7× 36 0.8× 18 0.8× 20 1.3× 31 387
R. C. W. Houghton United Kingdom 16 499 1.0× 368 1.3× 27 0.6× 34 1.5× 15 1.0× 30 510
David J. Radburn-Smith United States 10 539 1.1× 338 1.2× 23 0.5× 24 1.0× 16 1.1× 12 545
Daniel Christlein United States 9 380 0.8× 240 0.8× 28 0.6× 17 0.7× 20 1.3× 16 386
V. Perret France 10 558 1.2× 290 1.0× 31 0.7× 18 0.8× 20 1.3× 12 562
L. Morselli Germany 11 454 0.9× 243 0.9× 42 0.9× 18 0.8× 17 1.1× 17 466
Jamie R. Ownsworth United Kingdom 8 486 1.0× 364 1.3× 40 0.9× 18 0.8× 12 0.8× 8 494

Countries citing papers authored by S. Berta

Since Specialization
Citations

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

Fields of papers citing papers by S. Berta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Berta

This figure shows the co-authorship network connecting the top 25 collaborators of S. Berta. A scholar is included among the top collaborators of S. Berta 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 S. Berta. S. Berta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Lanzuisi, G., Michele Perna, I. Delvecchio, et al.. (2015). The most obscured AGN in the COSMOS field. Astronomy and Astrophysics. 578. A120–A120. 15 indexed citations
2.
Sánchez, H. Domínguez, Á. Bongiovanni, M. A. Lara-López, et al.. (2014). Herschel far-IR counterparts of SDSS galaxies: analysis of commonly used star formation rate estimates. Monthly Notices of the Royal Astronomical Society. 441(1). 2–23. 14 indexed citations
3.
Rosario, D. J., P. Santini, D. Lutz, et al.. (2013). NUCLEAR ACTIVITY IS MORE PREVALENT IN STAR-FORMING GALAXIES. The Astrophysical Journal. 771(1). 63–63. 66 indexed citations
4.
Talia, M., M. Mignoli, A. Cimatti, et al.. (2012). GMASS ultradeep spectroscopy of galaxies atz ~  2. Astronomy and Astrophysics. 539. A61–A61. 20 indexed citations
5.
Cimatti, A., P. Cassata, L. Pozzetti, et al.. (2008). GMASS ultradeep spectroscopy of galaxies at $z$ ~ 2 - II. Superdense passive galaxies: how did they form and evolve?. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 482(1). 21–42. 233 indexed citations
6.
Sani, E., G. Risaliti, M. Salvati, et al.. (2008). 3–5 μm Spectroscopy of Obscured AGNs in ULIRGs. The Astrophysical Journal. 675(1). 96–105. 23 indexed citations
7.
Gruppioni, C., F. Pozzi, M. Polletta, et al.. (2008). The Contribution of AGNs and Star‐forming Galaxies to the Mid‐Infrared as Revealed by Their Spectral Energy Distributions. The Astrophysical Journal. 684(1). 136–152. 12 indexed citations
8.
Risaliti, G., E. Sani, R. Maiolino, et al.. (2006). The Double Active Galactic Nucleus in NGC 6240 Revealed through 3-5 μm Spectroscopy. The Astrophysical Journal. 637(1). L17–L20. 13 indexed citations
9.
Risaliti, G., R. Maiolino, A. Marconi, et al.. (2005). Unveiling the nature of Ultraluminous Infrared Galaxies with 3-4 μm spectroscopy. Monthly Notices of the Royal Astronomical Society. 365(1). 303–320. 64 indexed citations
10.
Risaliti, G., R. Maiolino, A. Marconi, et al.. (2003). Revealing the Active Galactic Nucleus in the Superantennae through L -Band Spectroscopy. The Astrophysical Journal. 595(1). L17–L20. 25 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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