S. Camera

8.4k total citations
71 papers, 1.1k citations indexed

About

S. Camera is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, S. Camera has authored 71 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Astronomy and Astrophysics, 38 papers in Nuclear and High Energy Physics and 13 papers in Instrumentation. Recurrent topics in S. Camera's work include Galaxies: Formation, Evolution, Phenomena (55 papers), Cosmology and Gravitation Theories (44 papers) and Radio Astronomy Observations and Technology (29 papers). S. Camera is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (55 papers), Cosmology and Gravitation Theories (44 papers) and Radio Astronomy Observations and Technology (29 papers). S. Camera collaborates with scholars based in Italy, United Kingdom and South Africa. S. Camera's co-authors include Mário G. Santos, Roy Maartens, V. F. Cardone, L. Ferramacho, Ninfa Radicella, A. Nishizawa, M. J. Jarvis, Michael D. Brown, Pedro G. Ferreira and I. Harrison and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and The Astrophysical Journal.

In The Last Decade

S. Camera

65 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Camera Italy	19	1.0k	524	156	52	33	71	1.1k
M. Douspis France	19	939 0.9×	423 0.8×	181 1.2×	29 0.6×	54 1.6×	70	984
A Hall United Kingdom	11	706 0.7×	331 0.6×	80 0.5×	39 0.8×	34 1.0×	21	743
L. Lovisari United States	20	1.2k 1.1×	457 0.9×	279 1.8×	22 0.4×	44 1.3×	48	1.2k
Jaiyul Yoo Switzerland	18	1.2k 1.1×	448 0.9×	188 1.2×	27 0.5×	68 2.1×	47	1.2k
N. Palanque‐Delabrouille France	19	1.2k 1.2×	804 1.5×	156 1.0×	16 0.3×	65 2.0×	42	1.3k
Marcel Schmittfull United States	18	808 0.8×	248 0.5×	173 1.1×	37 0.7×	81 2.5×	25	858
S. T. Myers United States	16	1.1k 1.1×	530 1.0×	155 1.0×	31 0.6×	30 0.9×	40	1.2k
Jo Dunkley United States	13	560 0.5×	346 0.7×	52 0.3×	32 0.6×	29 0.9×	28	608
Camille Bonvin Switzerland	21	1.5k 1.4×	599 1.1×	142 0.9×	87 1.7×	111 3.4×	53	1.5k
Kaiki Taro Inoue Japan	16	632 0.6×	258 0.5×	122 0.8×	22 0.4×	34 1.0×	41	676

Countries citing papers authored by S. Camera

Since Specialization

Citations

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

Fields of papers citing papers by S. Camera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Cunnington, Steven, Alkistis Pourtsidou, Laura Wolz, et al.. (2025). Emission-line Stacking of 21 cm Intensity Maps with MeerKLASS: Inference Pipeline and Application to the L-band Deep-field Data. The Astrophysical Journal Supplement Series. 279(1). 19–19. 1 indexed citations

Camera, S., et al.. (2025). Decoupling local primordial non-Gaussianity from relativistic effects in the galaxy bispectrum. Journal of Cosmology and Astroparticle Physics. 2025(7). 55–55. 1 indexed citations

Karagiannis, D., Roy Maartens, Shun Saito, et al.. (2025). Squeezing information from radio surveys to probe the primordial universe. Journal of Cosmology and Astroparticle Physics. 2025(8). 29–29.

Karagiannis, D., Roy Maartens, José Fonseca, S. Camera, & Chris Clarkson. (2024). Multi-tracer power spectra and bispectra: formalism. Journal of Cosmology and Astroparticle Physics. 2024(3). 34–34. 8 indexed citations

Schwarz, Dominik J., Catherine Hale, K. J. Duncan, et al.. (2024). Flux dependence of redshift distribution and clustering of LOFAR radio sources. Astronomy and Astrophysics. 692. A2–A2. 2 indexed citations

Santos, Mário G., et al.. (2024). Cosmology with ESO–SKAO Synergies. ArXiv.org.

Camera, S., et al.. (2024). Radio-optical synergies at high redshift to constrain primordial non-Gaussianity. Journal of Cosmology and Astroparticle Physics. 2024(2). 43–43. 1 indexed citations

Camera, S., et al.. (2024). Detecting relativistic Doppler in galaxy clustering with tailored galaxy samples. Physics of the Dark Universe. 46. 101570–101570. 1 indexed citations

Camera, S., et al.. (2024). Modelling cross-correlations of ultra-high-energy cosmic rays and galaxies. SHILAP Revista de lepidopterología. 7.

10.

Tanidis, K & S. Camera. (2023). Model-independent Constraints on Clustering and Growth of Cosmic Structures from BOSS DR12 Galaxies in Harmonic Space. The Astrophysical Journal. 948(1). 6–6. 1 indexed citations

11.

Camera, S., et al.. (2023). The effective equation of state in Palatini $$f({{\mathcal {R}}})$$ cosmology. The European Physical Journal Plus. 138(2). 6 indexed citations

12.

Cunnington, Steven, et al.. (2022). Baryon acoustic oscillations from H i intensity mapping: The importance of cross-correlations in the monopole and quadrupole. Monthly Notices of the Royal Astronomical Society. 516(4). 5454–5470. 2 indexed citations

13.

Bahr-Kalus, Benedict, et al.. (2022). A measurement of the integrated Sachs–Wolfe effect with the Rapid ASKAP Continuum Survey. Monthly Notices of the Royal Astronomical Society. 517(3). 3785–3803. 6 indexed citations

14.

Urban, F., et al.. (2021). Detecting ultra-high-energy cosmic ray anisotropies through harmonic cross-correlations. Springer Link (Chiba Institute of Technology). 2 indexed citations

15.

Yahia-Cherif, S., Alain Blanchard, S. Camera, et al.. (2021). Validating the Fisher approach for stage IV spectroscopic surveys. Springer Link (Chiba Institute of Technology). 9 indexed citations

16.

Cunnington, Steven, S. Camera, & Alkistis Pourtsidou. (2020). The degeneracy between primordial non-Gaussianity and foregrounds in 21 cm intensity mapping experiments. Monthly Notices of the Royal Astronomical Society. 499(3). 4054–4067. 18 indexed citations

17.

Harrison, I., Michael D. Brown, Daniel B. Thomas, et al.. (2020). SuperCLASS – III. Weak lensing from radio and optical observations in Data Release 1. Monthly Notices of the Royal Astronomical Society. 495(2). 1737–1759. 5 indexed citations

18.

Santos, Mário G., Philip Bull, David Alonso, et al.. (2015). UCL Discovery (University College London). 93 indexed citations

19.

Abdalla, F. B., Philip Bull, S. Camera, et al.. (2015). Cosmology from HI galaxy surveys with the SKA. Institutional Research Information System University of Turin (University of Turin). 17–17. 20 indexed citations

20.

Camera, S., Mário G. Santos, Pedro G. Ferreira, & L. Ferramacho. (2013). Cosmology on ultralarge scales with mapping of the intensity of 21 cm emission from neutral hydrogen: Limits on primordial non-Gaussianity. arXiv (Cornell University). 1 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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