D. Sapone

6.6k total citations
26 papers, 973 citations indexed

About

D. Sapone is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, D. Sapone has authored 26 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Astronomy and Astrophysics, 12 papers in Nuclear and High Energy Physics and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in D. Sapone's work include Cosmology and Gravitation Theories (23 papers), Galaxies: Formation, Evolution, Phenomena (17 papers) and Black Holes and Theoretical Physics (7 papers). D. Sapone is often cited by papers focused on Cosmology and Gravitation Theories (23 papers), Galaxies: Formation, Evolution, Phenomena (17 papers) and Black Holes and Theoretical Physics (7 papers). D. Sapone collaborates with scholars based in Chile, Spain and Switzerland. D. Sapone's co-authors include M. Kunz, Luca Amendola, Savvas Nesseris, Elisabetta Majerotto, Valerio Marra, M. Ballardini, Björn Malte Schäfer, F. Finelli⋆, Z. Sakr and Robert Crittenden and has published in prestigious journals such as Physical Review Letters, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

D. Sapone

25 papers receiving 960 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Sapone Chile 15 957 579 79 59 56 26 973
Siqi Liu China 5 627 0.7× 350 0.6× 73 0.9× 50 0.8× 60 1.1× 16 672
Jiun-Huei Proty Wu United States 11 897 0.9× 594 1.0× 51 0.6× 51 0.9× 79 1.4× 23 953
Celia Escamilla‐Rivera Mexico 16 953 1.0× 636 1.1× 139 1.8× 25 0.4× 71 1.3× 49 994
Kavilan Moodley South Africa 13 712 0.7× 393 0.7× 48 0.6× 63 1.1× 41 0.7× 34 735
Daniele Bertacca Italy 20 1.0k 1.1× 452 0.8× 106 1.3× 67 1.1× 75 1.3× 48 1.0k
David M. Wilkinson United Kingdom 2 800 0.8× 422 0.7× 70 0.9× 112 1.9× 41 0.7× 2 811
V. Pettorino Germany 26 1.4k 1.4× 963 1.7× 66 0.8× 90 1.5× 60 1.1× 42 1.4k
Vivian Miranda United States 14 587 0.6× 344 0.6× 56 0.7× 55 0.9× 34 0.6× 33 628
M. Malekjani Iran 17 655 0.7× 420 0.7× 57 0.7× 29 0.5× 54 1.0× 37 678
B. Rabii United Kingdom 8 814 0.9× 553 1.0× 49 0.6× 41 0.7× 72 1.3× 14 865

Countries citing papers authored by D. Sapone

Since Specialization
Citations

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

Fields of papers citing papers by D. Sapone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Sapone

This figure shows the co-authorship network connecting the top 25 collaborators of D. Sapone. A scholar is included among the top collaborators of D. Sapone 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 D. Sapone. D. Sapone 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.
Sapone, D. & Savvas Nesseris. (2025). Outliers in DESI BAO: Robustness and cosmological implications. Physical review. D. 112(6). 2 indexed citations
2.
Ocampo, Indira, George Alestas, Savvas Nesseris, & D. Sapone. (2025). Enhancing Cosmological Model Selection with Interpretable Machine Learning. Physical Review Letters. 134(4). 41002–41002.
3.
Sakr, Z., A. Da Silva, J. García-Bellido, et al.. (2024). Constraining ΛLTB models with galaxy cluster counts from next-generation surveys. Astronomy and Astrophysics. 683. A230–A230. 3 indexed citations
4.
Ballardini, M., F. Finelli⋆, & D. Sapone. (2022). Cosmological constraints on the gravitational constant. Journal of Cosmology and Astroparticle Physics. 2022(6). 4–4. 30 indexed citations
5.
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
6.
Favole, Ginevra, et al.. (2021). Does jackknife scale really matter for accurate large-scale structure covariances?. Monthly Notices of the Royal Astronomical Society. 505(4). 5833–5845. 7 indexed citations
7.
Ballardini, M., D. Sapone, C. Umiltà, F. Finelli⋆, & D. Paoletti. (2019). Testing extended Jordan-Brans-Dicke theories with future cosmological observations. Journal of Cosmology and Astroparticle Physics. 2019(5). 49–49. 13 indexed citations
8.
Nesseris, Savvas, et al.. (2018). Internal robustness of growth rate data. Physical review. D. 98(8). 59 indexed citations
9.
Marra, Valerio & D. Sapone. (2018). Null tests of the standard model using the linear model formalism. Physical review. D. 97(8). 28 indexed citations
10.
Nesseris, Savvas, D. Sapone, & J. García-Bellido. (2015). Reconstruction of the null-test for the matter density perturbations. Physical review. D. Particles, fields, gravitation, and cosmology. 91(2). 8 indexed citations
11.
Nesseris, Savvas & D. Sapone. (2015). Accuracy of the growth index in the presence of dark energy perturbations. Physical review. D. Particles, fields, gravitation, and cosmology. 92(2). 27 indexed citations
12.
Majerotto, Elisabetta, D. Sapone, & Björn Malte Schäfer. (2015). Combined constraints on deviations of dark energy from an ideal fluid fromEuclidandPlanck. Monthly Notices of the Royal Astronomical Society. 456(1). 109–118. 11 indexed citations
13.
Sapone, D., Elisabetta Majerotto, & Savvas Nesseris. (2014). Curvature versus distances: Testing the FLRW cosmology. Physical review. D. Particles, fields, gravitation, and cosmology. 90(2). 61 indexed citations
14.
Nesseris, Savvas & D. Sapone. (2014). Comparison of piecewise-constant methods for dark energy. Physical review. D. Particles, fields, gravitation, and cosmology. 90(6). 4 indexed citations
15.
Sapone, D., Elisabetta Majerotto, M. Kunz, & B. Garilli. (2013). Can dark energy viscosity be detected with the Euclid survey?. Physical review. D. Particles, fields, gravitation, and cosmology. 88(4). 21 indexed citations
16.
Sapone, D., M. Kunz, & Luca Amendola. (2010). Fingerprinting dark energy. II. Weak lensing and galaxy clustering tests. Physical review. D. Particles, fields, gravitation, and cosmology. 82(10). 26 indexed citations
17.
Sapone, D. & M. Kunz. (2009). Fingerprinting dark energy. Physical review. D. Particles, fields, gravitation, and cosmology. 80(8). 49 indexed citations
18.
Kunz, M. & D. Sapone. (2007). Dark Energy versus Modified Gravity. Physical Review Letters. 98(12). 121301–121301. 143 indexed citations
19.
Kunz, M. & D. Sapone. (2006). Crossing the phantom divide. Physical review. D. Particles, fields, gravitation, and cosmology. 74(12). 78 indexed citations
20.
Majerotto, Elisabetta, D. Sapone, & Luca Amendola. (2004). Supernovae type Ia data favour negatively coupled phantom energy. arXiv (Cornell University). 6 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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