F. Bianchini

4.3k total citations
19 papers, 233 citations indexed

About

F. Bianchini is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, F. Bianchini has authored 19 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Astronomy and Astrophysics, 5 papers in Nuclear and High Energy Physics and 2 papers in Instrumentation. Recurrent topics in F. Bianchini's work include Galaxies: Formation, Evolution, Phenomena (15 papers), Cosmology and Gravitation Theories (14 papers) and Radio Astronomy Observations and Technology (10 papers). F. Bianchini is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (15 papers), Cosmology and Gravitation Theories (14 papers) and Radio Astronomy Observations and Technology (10 papers). F. Bianchini collaborates with scholars based in United States, Italy and Australia. F. Bianchini's co-authors include Giulio Fabbian, Eric J. Baxter, Alessandra Silvestri, C. L. Reichardt, S. Raghunathan, Andrea Lapi, C. Baccigalupi, Marco Bonici, M. Millea and J. González-Nuevo and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and The Astrophysical Journal.

In The Last Decade

F. Bianchini

17 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. Bianchini United States 10 213 100 28 14 10 19 233
Chen Heinrich United States 9 208 1.0× 87 0.9× 39 1.4× 19 1.4× 7 0.7× 17 223
Sophie L. Reed United States 4 181 0.8× 60 0.6× 50 1.8× 14 1.0× 5 0.5× 6 198
Andrei Cuceu Spain 6 227 1.1× 134 1.3× 25 0.9× 4 0.3× 8 0.8× 11 264
D. Santos Taiwan 8 233 1.1× 34 0.3× 23 0.8× 9 0.6× 9 0.9× 20 258
Andrei Lazanu United Kingdom 7 209 1.0× 79 0.8× 48 1.7× 9 0.6× 8 0.8× 11 221
Srikrishna Sekhar South Africa 7 163 0.8× 71 0.7× 52 1.9× 10 0.7× 4 0.4× 10 175
Nicola Bartolo Italy 8 193 0.9× 71 0.7× 33 1.2× 14 1.0× 14 1.4× 13 206
H. Silverwood Netherlands 7 128 0.6× 103 1.0× 30 1.1× 14 1.0× 3 0.3× 9 165
B. Adebahr Germany 10 259 1.2× 182 1.8× 31 1.1× 7 0.5× 6 0.6× 21 282
Pavel Motloch United States 11 198 0.9× 167 1.7× 20 0.7× 13 0.9× 11 1.1× 23 238

Countries citing papers authored by F. Bianchini

Since Specialization
Citations

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

Fields of papers citing papers by F. Bianchini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Bianchini

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

All Works

19 of 19 papers shown
1.
Schiappucci, E., S. Raghunathan, C. To, et al.. (2025). Constraining cosmological parameters using the pairwise kinematic Sunyaev-Zel’dovich effect with CMB-S4 and future galaxy cluster surveys. Physical review. D. 111(6). 2 indexed citations
2.
Bianchini, F., D. Beck, W. L. K. Wu, et al.. (2025). CMB-S4: Foreground-cleaning Pipeline Comparison for Measuring Primordial Gravitational Waves. The Astrophysical Journal. 993(1). 105–105. 1 indexed citations
3.
Bonici, Marco, et al.. (2024). Capse.jl: efficient and auto-differentiable CMB power spectra emulation. SHILAP Revista de lepidopterología. 7. 23 indexed citations
4.
Regis, Marco, F. Bianchini, J. Singal, et al.. (2024). Constraints on the origin of the radio synchrotron background via angular correlations. Monthly Notices of the Royal Astronomical Society. 530(3). 2994–3004. 3 indexed citations
5.
Bianchini, F., Giovanni Grilli di Cortona, & Mauro Valli. (2024). QCD axion: Some like it hot. Physical review. D. 110(12). 9 indexed citations
6.
Bianchini, F., J. Richard Bond, Jens Chluba, et al.. (2023). CMB-S4 forecasts for constraints on fNL through μ-distortion anisotropy. Physical review. D. 108(10). 9 indexed citations
7.
Howlett, Cullan, et al.. (2023). Cross-correlating radial peculiar velocities and CMB lensing convergence. Journal of Cosmology and Astroparticle Physics. 2023(5). 2–2.
8.
Bianchini, F. & M. Millea. (2023). Inference of gravitational lensing and patchy reionization with future CMB data. Physical review. D. 107(4). 9 indexed citations
9.
Pons, J. A., et al.. (2023). Magnetic Dynamo Caused by Axions in Neutron Stars. Physical Review Letters. 130(7). 71001–71001. 9 indexed citations
10.
Bianchini, F. & Giulio Fabbian. (2022). CMB spectral distortions revisited: A new take on μ distortions and primordial non-Gaussianities from FIRAS data. Physical review. D. 106(6). 45 indexed citations
11.
Arnold, Kam, C. Baccigalupi, Darcy Barron, et al.. (2020). Measurement of the cosmic microwave background polarization lensing power spectrum from two years of POLARBEAR data. Sussex Research Online (University of Sussex). 12 indexed citations
12.
Bianchini, F., Giulio Fabbian, Andrea Lapi, et al.. (2019). Broadband Spectral Energy Distributions of SDSS-selected Quasars and of Their Host Galaxies: Intense Activity at the Onset of AGN Feedback. The Astrophysical Journal. 871(2). 136–136. 14 indexed citations
13.
Bianchini, F., Giulio Fabbian, Andrea Lapi, et al.. (2018). Broadband spectral energy distributions of SDSS-selected quasars and of their host galaxies: intense activity at the edge of the quenching. arXiv (Cornell University).
14.
Raghunathan, S., F. Bianchini, & C. L. Reichardt. (2018). Imprints of gravitational lensing in the Planck cosmic microwave background data at the location of WISE×SCOS galaxies. Physical review. D. 98(4). 11 indexed citations
15.
Raghunathan, S., S. Patil, Eric J. Baxter, et al.. (2017). Measuring galaxy cluster masses with CMB lensing using a Maximum Likelihood estimator: statistical and systematic error budgets for future experiments. Journal of Cosmology and Astroparticle Physics. 2017(8). 30–30. 21 indexed citations
16.
Bianchini, F. & Alessandra Silvestri. (2016). Kinetic Sunyaev-Zel’dovich effect in modified gravity. Physical review. D. 93(6). 13 indexed citations
17.
Bianchini, F., A. Renzi, & Domenico Marinucci. (2016). Needlet estimation of cross-correlation between CMB lensing maps and LSS. Journal of Cosmology and Astroparticle Physics. 2016(11). 50–50. 2 indexed citations
18.
Bianchini, F., P. Bielewicz, Andrea Lapi, et al.. (2015). CROSS-CORRELATION BETWEEN THE CMB LENSING POTENTIAL MEASURED BYPLANCKAND HIGH-zSUBMILLIMETER GALAXIES DETECTED BY THEHERSCHEL-ATLAS SURVEY. The Astrophysical Journal. 802(1). 64–64. 47 indexed citations
19.
Bianchini, F. & Andrea Lapi. (2014). Cross-correlation between cosmological and astrophysical datasets: the Planck and Herschel case. Proceedings of the International Astronomical Union. 10(S306). 202–205. 3 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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