G. Grosso

3.2k total citations
17 papers, 150 citations indexed

About

G. Grosso is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Radiation. According to data from OpenAlex, G. Grosso has authored 17 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nuclear and High Energy Physics, 7 papers in Artificial Intelligence and 6 papers in Radiation. Recurrent topics in G. Grosso's work include Particle Detector Development and Performance (7 papers), Particle physics theoretical and experimental studies (6 papers) and Nuclear Physics and Applications (6 papers). G. Grosso is often cited by papers focused on Particle Detector Development and Performance (7 papers), Particle physics theoretical and experimental studies (6 papers) and Nuclear Physics and Applications (6 papers). G. Grosso collaborates with scholars based in Italy, Switzerland and United States. G. Grosso's co-authors include Andrea Wulzer, M. Pierini, M. Zanetti, Raffaele Tito D’Agnolo, Raffaele Tito D’Agnolo, Lorenzo Rosasco, M. Rebaı̈, G. Croci, M. Tardocchi and G. Gorini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of High Energy Physics and Review of Scientific Instruments.

In The Last Decade

G. Grosso

15 papers receiving 148 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
G. Grosso Italy	7	122	71	26	9	8	17	150
F. Psihas United States	3	80 0.7×	18 0.3×	22 0.8×	9 1.0×	8 1.0×	4	108
Olmo Cerri United States	7	103 0.8×	67 0.9×	4 0.2×	13 1.4×	13 1.6×	9	162
Ekaterina Govorkova United States	6	52 0.4×	46 0.6×	4 0.2×	2 0.2×	15 1.9×	9	99
L. Gouskos Switzerland	3	157 1.3×	58 0.8×	9 0.3×	2 0.2×	8 1.0×	5	197
Vincenzo Innocente Switzerland	8	149 1.2×	9 0.1×	17 0.7×	4 0.4×	10 1.3×	33	194
M. Arratia United States	9	177 1.5×	19 0.3×	16 0.6×	5 0.6×	8 1.0×	24	207
W. Korcari Germany	5	91 0.7×	33 0.5×	10 0.4×	2 0.2×	4 0.5×	7	119
F. Canelli Switzerland	7	148 1.2×	69 1.0×	7 0.3×	2 0.2×	11 1.4×	16	169
S. Aydin Türkiye	7	53 0.4×	15 0.2×	35 1.3×	14 1.6×		16	92
M. Bandieramonte Italy	7	52 0.4×	8 0.1×	31 1.2×	7 0.8×	10 1.3×	20	124

Countries citing papers authored by G. Grosso

Since Specialization

Citations

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

Fields of papers citing papers by G. Grosso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Grosso

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

All Works

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17 of 17 papers shown

Xu, Lirong, et al.. (2025). Anomaly-preserving contrastive neural embeddings for end-to-end model-independent searches at the LHC. Physical review. D. 112(7).

Grosso, G., et al.. (2025). Multiple testing for signal-agnostic searches for new physics with machine learning. The European Physical Journal C. 85(1). 4–4.

Grosso, G.. (2024). Anomaly-aware summary statistic from data batches. Journal of High Energy Physics. 2024(12). 2 indexed citations

Croci, G., N. Pilan, I. Mario, et al.. (2024). Data Analysis and Tomographic Reconstruction via X-Ray Measurements With a GEM Detector at the High-Voltage Padova Test Facility. IEEE Transactions on Plasma Science. 52(9). 4450–4461. 1 indexed citations

Grosso, G., et al.. (2024). Goodness of fit by Neyman-Pearson testing. SciPost Physics. 16(5). 6 indexed citations

Grosso, G., Matteo Migliorini, J. Pazzini, et al.. (2024). Triggerless data acquisition pipeline for Machine Learning based statistical anomaly detection. SHILAP Revista de lepidopterología. 295. 2033–2033. 1 indexed citations

Grosso, G., et al.. (2023). Fast kernel methods for data quality monitoring as a goodness-of-fit test. Machine Learning Science and Technology. 4(3). 35029–35029. 4 indexed citations

Putignano, O., G. Croci, A. Muraro, et al.. (2023). Conceptual design of a GEM (gas electron multiplier) based gas Cherenkov detector for measurement of 17 MeV gamma rays from T(D, γ)5He in magnetic confinement fusion plasmas. Review of Scientific Instruments. 94(1). 13501–13501. 1 indexed citations

D’Agnolo, Raffaele Tito, G. Grosso, M. Pierini, Andrea Wulzer, & M. Zanetti. (2022). Learning new physics from an imperfect machine. The European Physical Journal C. 82(3). 26 indexed citations

10.

Putignano, O., G. Croci, A. Muraro, et al.. (2022). Investigation of a Cherenkov-based gamma-ray diagnostic for measurement of 17 MeV gamma-rays from T(D, γ)⁵He in magnetic confinement fusion plasmas. Journal of Instrumentation. 17(2). C02021–C02021. 3 indexed citations

11.

Grosso, G., et al.. (2022). Learning new physics efficiently with nonparametric methods. The European Physical Journal C. 82(10). 879–879. 20 indexed citations

12.

Ardino, R., Christian Deldicque, Marc Dobson, et al.. (2022). A 40 MHz Level-1 trigger scouting system for the CMS Phase-2 upgrade. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1047. 167805–167805. 6 indexed citations

13.

Putignano, O., E. Perelli Cippo, M. Rebaı̈, et al.. (2021). Characterization of the response of Fast Ion Loss Detectors to fusion neutrons for applications at JT-60SA and ITER. Fusion Engineering and Design. 173. 112913–112913. 2 indexed citations

14.

D’Agnolo, Raffaele Tito, G. Grosso, M. Pierini, Andrea Wulzer, & M. Zanetti. (2021). Learning multivariate new physics. The European Physical Journal C. 81(1). 53 indexed citations

15.

Croci, G., Carlo Cazzaniga, G. Claps, et al.. (2014). Characterization of a thermal neutron beam monitor based on gas electron multiplier technology. Progress of Theoretical and Experimental Physics. 2014(8). 83H01–0. 17 indexed citations

16.

Nocente, M., M. Angelone, P. Blanchard, et al.. (2012). -ray measurements and neutron sensitivity in a fusion environment. AIP conference proceedings. 311–316. 1 indexed citations

17.

Rebaı̈, M., M. Cavenago, G. Croci, et al.. (2012). A neutron diagnostic for high current deuterium beams. Review of Scientific Instruments. 83(2). 02B721–02B721. 7 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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