C. Schiavi

103.5k total citations
25 papers, 932 citations indexed

About

C. Schiavi is a scholar working on Nuclear and High Energy Physics, Radiation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, C. Schiavi has authored 25 papers receiving a total of 932 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Nuclear and High Energy Physics, 3 papers in Radiation and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in C. Schiavi's work include Particle physics theoretical and experimental studies (23 papers), Quantum Chromodynamics and Particle Interactions (13 papers) and High-Energy Particle Collisions Research (12 papers). C. Schiavi is often cited by papers focused on Particle physics theoretical and experimental studies (23 papers), Quantum Chromodynamics and Particle Interactions (13 papers) and High-Energy Particle Collisions Research (12 papers). C. Schiavi collaborates with scholars based in Italy, France and Switzerland. C. Schiavi's co-authors include M. Bóna, V. Lubicz, G. Martinelli, M. Pierini, L. Silvestrini, M. Ciuchini, E. Franco, F. Parodi, V. Vagnoni and P. Roudeau and has published in prestigious journals such as Physical Review Letters, Physics Letters B and Journal of High Energy Physics.

In The Last Decade

C. Schiavi

22 papers receiving 907 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Schiavi Italy 10 923 124 22 20 9 25 932
Jae Sik Lee South Korea 20 903 1.0× 195 1.6× 32 1.5× 27 1.4× 9 1.0× 45 912
H. Lacker Germany 7 978 1.1× 84 0.7× 21 1.0× 29 1.4× 7 0.8× 11 1.0k
Aoife Bharucha Germany 13 722 0.8× 132 1.1× 19 0.9× 33 1.6× 3 0.3× 20 730
Daniele Barducci Italy 13 576 0.6× 186 1.5× 26 1.2× 16 0.8× 8 0.9× 36 584
Diego Guadagnoli France 16 1.0k 1.1× 109 0.9× 29 1.3× 56 2.8× 6 0.7× 36 1.1k
Rick S. Gupta United Kingdom 14 556 0.6× 205 1.7× 28 1.3× 19 0.9× 13 1.4× 22 569
Chuan-Hung Chen Taiwan 19 1.0k 1.1× 130 1.0× 16 0.7× 63 3.1× 3 0.3× 56 1.0k
Pier Paolo Giardino United States 15 740 0.8× 215 1.7× 25 1.1× 15 0.8× 12 1.3× 31 760
M. Steinhauser Germany 7 1.2k 1.3× 87 0.7× 21 1.0× 14 0.7× 14 1.6× 10 1.2k
Francisco J. Botella Spain 18 1.0k 1.1× 113 0.9× 31 1.4× 35 1.8× 2 0.2× 53 1.0k

Countries citing papers authored by C. Schiavi

Since Specialization
Citations

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

Fields of papers citing papers by C. Schiavi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Schiavi

This figure shows the co-authorship network connecting the top 25 collaborators of C. Schiavi. A scholar is included among the top collaborators of C. Schiavi 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 C. Schiavi. C. Schiavi 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.
Soybelman, Nathalie, C. Schiavi, F. A. Di Bello, & E. Gross. (2024). Accelerating graph-based tracking tasks with symbolic regression. Machine Learning Science and Technology. 5(4). 45042–45042. 1 indexed citations
2.
Bevan, A. J., M. Bóna, M. Ciuchini, et al.. (2014). The UTfit collaboration average of D meson mixing data: Winter 2014. Journal of High Energy Physics. 2014(3). 18 indexed citations
3.
Bevan, A. J., M. Bóna, M. Ciuchini, et al.. (2013). Standard Model updates and new physics analysis with the Unitarity Triangle fit. Nuclear Physics B - Proceedings Supplements. 241-242. 89–94. 14 indexed citations
4.
Bevan, A. J., M. Bóna, M. Ciuchini, et al.. (2012). The UTfit collaboration average of D meson mixing data: spring 2012. Journal of High Energy Physics. 2012(10). 8 indexed citations
5.
Bóna, M., et al.. (2010). Update of the Unitarity Triangle Analysis. CERN Document Server (European Organization for Nuclear Research). 3 indexed citations
6.
Bóna, M., M. Ciuchini, E. Franco, et al.. (2010). An improved Standard Model prediction of BR(B→τν) and its implications for New Physics. Physics Letters B. 687(1). 61–69. 80 indexed citations
7.
Bevan, A. J., M. Bóna, M. Ciuchini, et al.. (2010). Unitarity Triangle Analysis: An Update. Nuclear Physics B - Proceedings Supplements. 209(1). 109–114. 2 indexed citations
8.
Berger, N., T. Bołd, T. Eifert, et al.. (2008). The High-Level-Trigger Steering of the ATLAS Experiment. IEEE Transactions on Nuclear Science. 55(1). 165–171. 5 indexed citations
9.
Berger, N., T. Bołd, T. Eifert, et al.. (2008). The ATLAS high level trigger steering. Journal of Physics Conference Series. 119(2). 22013–22013. 5 indexed citations
10.
Bóna, M., P. Roudeau, L. Silvestrini, et al.. (2007). Model-independent constraints on $\Delta F=2$ operators and the scale of new physics. Prepared for. 2 indexed citations
11.
Bóna, M., M. Ciuchini, E. Franco, et al.. (2007). Status of the Cabibbo-Kobayashi-Maskawa matrix and Unitarity Triangle fits. AIP conference proceedings. 881. 210–219. 1 indexed citations
12.
Bóna, M., M. Ciuchini, E. Franco, et al.. (2006). The UTfit collaboration report on the status of the unitarity triangle beyond the Standard Model I. Model-independent analysis and minimal flavour violation. Journal of High Energy Physics. 2006(3). 80–80. 55 indexed citations
13.
Bóna, M., M. Ciuchini, E. Franco, et al.. (2006). The unitarity triangle fit in the standard model and hadronic parameters from lattice QCD: a reappraisal after the measurements of ΔmsandBR(B→τντ). Journal of High Energy Physics. 2006(10). 81–81. 120 indexed citations
14.
Lubicz, V., M. Bóna, M. Ciuchini, et al.. (2006). Lattice QCD confronts the Unitarity Triangle Fit. Nuclear Physics B - Proceedings Supplements. 163. 43–49. 1 indexed citations
15.
Konstantinidis, N., M. R. Sutton, J. T. Baines, et al.. (2006). A fast tracking algorithm for the ATLAS level 2 trigger. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 566(1). 166–169. 2 indexed citations
16.
Bóna, M., M. Ciuchini, E. Franco, et al.. (2006). Constraints on New Physics from the Quark Mixing Unitarity Triangle. Physical Review Letters. 97(15). 151803–151803. 63 indexed citations
17.
Schiavi, C.. (2006). Implementation and performance of the high level trigger electron and photon selection for the ATLAS experiment at the LHC. IEEE Transactions on Nuclear Science. 53(3). 1424–1429. 1 indexed citations
18.
Kootz, A., J. Böhme, P. Mättig, et al.. (2005). Online b-tagging selection for the ATLAS experiment at the LHC. IEEE Symposium Conference Record Nuclear Science 2004.. 3. 1682–1686.
19.
Bóna, M., M. Ciuchini, E. Franco, et al.. (2005). The 2004 UTfit collaboration report on the status of the unitarity triangle in the standard model. Journal of High Energy Physics. 2005(7). 28–28. 141 indexed citations
20.
Schiavi, C., M. Cervetto, F. Parodi, et al.. (2005). Fast tracking for the second level trigger of the ATLAS experiment using silicon detectors data. IEEE Symposium Conference Record Nuclear Science 2004.. 3. 1841–1844. 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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