S. Ambrosanio

1.2k total citations
16 papers, 529 citations indexed

About

S. Ambrosanio is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Computer Networks and Communications. According to data from OpenAlex, S. Ambrosanio has authored 16 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Nuclear and High Energy Physics, 7 papers in Astronomy and Astrophysics and 1 paper in Computer Networks and Communications. Recurrent topics in S. Ambrosanio's work include Particle physics theoretical and experimental studies (16 papers), Dark Matter and Cosmic Phenomena (8 papers) and Cosmology and Gravitation Theories (7 papers). S. Ambrosanio is often cited by papers focused on Particle physics theoretical and experimental studies (16 papers), Dark Matter and Cosmic Phenomena (8 papers) and Cosmology and Gravitation Theories (7 papers). S. Ambrosanio collaborates with scholars based in Italy, United States and Switzerland. S. Ambrosanio's co-authors include Stephen P. Martin, Graham D. Kribs, B. Mele, S. Mrenna, Gordon Kane, A. Rimoldi, G. Polesello, S. Petrarca, G.A. Blair and Shufang Su and has published in prestigious journals such as Physical Review Letters, Nuclear Physics B and Physics Letters B.

In The Last Decade

S. Ambrosanio

16 papers receiving 524 citations

Peers

S. Ambrosanio
Comparison fields: 5 of 23
  • Nuclear and High Energy Physics 518
  • Astronomy and Astrophysics 211
  • Electrical and Electronic Engineering 13
  • Artificial Intelligence 12
  • Statistical and Nonlinear Physics 9
Replace Naveen Gaur with:
Naveen Gaur India
G. Polesello Italy
K. Bieri Switzerland
M. A. Díaz Chile
Jeffrey Woodside United States
Elena Accomando United Kingdom
Tadas Krupovnickas United States
V. Poghosyan Armenia
Heather E. Logan Canada
Shou-hua Zhu China
Naveen Gaur India View profile →
Citations per field, relative to S. Ambrosanio
S. Ambrosanio · 1×
Citations per year, relative to S. Ambrosanio
S. Ambrosanio · 1×

Countries citing papers authored by S. Ambrosanio

Since Specialization
Citations

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

Fields of papers citing papers by S. Ambrosanio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 32
2 10
3
Measuring the SUSY Breaking Scale at the LHC in the Slepton NLSP Scenario of GMSB Models ⋆
50
4 19
5 37
6
New Multi-Scale Supersymmetric Models with Flavor Changing Neutral Current Suppression
5
7 24
8 62
9 34
10 104
11 94
12 2
13 22
14 17
15 7
16 10

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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2026