F. Ambrogi

14.9k total citations
9 papers, 186 citations indexed

About

F. Ambrogi is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Astronomy and Astrophysics. According to data from OpenAlex, F. Ambrogi has authored 9 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nuclear and High Energy Physics, 2 papers in Computer Networks and Communications and 1 paper in Astronomy and Astrophysics. Recurrent topics in F. Ambrogi's work include Particle physics theoretical and experimental studies (8 papers), High-Energy Particle Collisions Research (5 papers) and Particle Detector Development and Performance (3 papers). F. Ambrogi is often cited by papers focused on Particle physics theoretical and experimental studies (8 papers), High-Energy Particle Collisions Research (5 papers) and Particle Detector Development and Performance (3 papers). F. Ambrogi collaborates with scholars based in Austria, Brazil and France. F. Ambrogi's co-authors include Jan Heisig, Sabine Kraml, W. Waltenberger, Ursula Laa, André Lessa, Suchita Kulkarni, Luca Mantani, Mihailo Backović, Chiara Arina and Gopolang Mohlabeng and has published in prestigious journals such as Computer Physics Communications, The European Physical Journal C and Geoscientific model development.

In The Last Decade

F. Ambrogi

7 papers receiving 183 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. Ambrogi Austria 6 182 98 28 10 3 9 186
Hong-Jian He China 7 342 1.9× 87 0.9× 16 0.6× 9 0.9× 2 0.7× 9 346
Humberto Reyes-González Germany 5 116 0.6× 50 0.5× 30 1.1× 7 0.7× 14 125
Silja Brensing Germany 4 245 1.3× 56 0.6× 13 0.5× 12 1.2× 3 1.0× 7 248
Marcel Rothering Germany 4 200 1.1× 47 0.5× 27 1.0× 9 0.9× 2 0.7× 6 202
Are Raklev Norway 12 381 2.1× 152 1.6× 29 1.0× 14 1.4× 4 1.3× 22 386
Kirtiman Ghosh India 13 328 1.8× 96 1.0× 15 0.5× 8 0.8× 2 0.7× 33 337
Daniel Dercks Germany 4 270 1.5× 97 1.0× 21 0.8× 10 1.0× 1 0.3× 6 270
A. Hoecker Switzerland 4 348 1.9× 141 1.4× 22 0.8× 16 1.6× 5 1.7× 5 353
Rahool Kumar Barman India 11 240 1.3× 72 0.7× 24 0.9× 8 0.8× 21 245
Charanjit K. Khosa United Kingdom 9 217 1.2× 68 0.7× 38 1.4× 4 0.4× 4 1.3× 17 226

Countries citing papers authored by F. Ambrogi

Since Specialization
Citations

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

Fields of papers citing papers by F. Ambrogi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

9 of 9 papers shown
1.
Haimberger, Leopold, et al.. (2024). Balloon drift estimation and improved position estimates for radiosondes. Geoscientific model development. 17(9). 3783–3799.
2.
Sirunyan, Albert M., A. Tumasyan, W. Adam, et al.. (2021). Correlations of azimuthal anisotropy Fourier harmonics with subevent cumulants in pPb collisions at √$^{S}$NN = 8.16 TeV. Repository KITopen (Karlsruhe Institute of Technology).
3.
Sirunyan, Albert M., A. Tumasyan, W. Adam, et al.. (2020). Measurements of production cross sections of WZ and same-sign WW boson pairs in association with two jets in proton-proton collisions at √s = 13 TeV. Repository KITopen (Karlsruhe Institute of Technology). 5 indexed citations
4.
Sirunyan, Albert M., A. Tumasyan, W. Adam, et al.. (2019). Search for anomalous triple gauge couplings in WW and WZ production in lepton + jet events in proton-proton collisions at s√ = 13 TeV. Lume (Universidade Federal do Rio Grande do Sul). 1 indexed citations
5.
Ambrogi, F., Jan Heisig, Sabine Kraml, et al.. (2019). SModelS v1.2: Long-lived particles, combination of signal regions, and other novelties. Computer Physics Communications. 251. 106848–106848. 43 indexed citations
6.
Ambrogi, F., Sabine Kraml, Suchita Kulkarni, et al.. (2018). On the coverage of the pMSSM by simplified model results. The European Physical Journal C. 78(3). 215–215. 13 indexed citations
7.
Sirunyan, Albert M., A. Tumasyan, F. Ambrogi, et al.. (2018). Search for new phenomena in final states with two opposite-charge, same-flavor leptons, jets, and missing transverse momentum in pp collisions at √s = 13TeV. 6 indexed citations
8.
Ambrogi, F., Chiara Arina, Mihailo Backović, et al.. (2018). MadDM v.3.0: A comprehensive tool for dark matter studies. Physics of the Dark Universe. 24. 100249–100249. 76 indexed citations
9.
Ambrogi, F., Sabine Kraml, Suchita Kulkarni, et al.. (2018). SModelS v1.1 user manual: Improving simplified model constraints with efficiency maps. Computer Physics Communications. 227. 72–98. 42 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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