J. Pazzini

78.8k total citations
15 papers, 45 citations indexed

About

J. Pazzini is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics and Computer Networks and Communications. According to data from OpenAlex, J. Pazzini has authored 15 papers receiving a total of 45 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Nuclear and High Energy Physics, 5 papers in Atomic and Molecular Physics, and Optics and 3 papers in Computer Networks and Communications. Recurrent topics in J. Pazzini's work include Particle physics theoretical and experimental studies (6 papers), Particle Detector Development and Performance (4 papers) and Atomic and Subatomic Physics Research (3 papers). J. Pazzini is often cited by papers focused on Particle physics theoretical and experimental studies (6 papers), Particle Detector Development and Performance (4 papers) and Atomic and Subatomic Physics Research (3 papers). J. Pazzini collaborates with scholars based in Italy, Switzerland and France. J. Pazzini's co-authors include Stefano Cassanelli, Tikam Chand Dakal, Paolo Giudici, M. Zanetti, Lisa Solieri, A. Zucchetta, Matteo Migliorini, Lorenzo Rosasco, G. Grosso and Andrea Triossi and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

J. Pazzini

11 papers receiving 45 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Pazzini Italy	4	20	12	9	9	5	15	45
Ju Guan China	4	9 0.5×	19 1.6×	1 0.1×	6 0.7×	12 2.4×	27	63
M. Zhabitsky Russia	3	5 0.3×	9 0.8×	13 1.4×			8	28
D. Larsen Switzerland	6	4 0.2×	17 1.4×	3 0.3×	4 0.4×	17 3.4×	11	97
S. Han China	4	2 0.1×	15 1.3×	7 0.8×		10 2.0×	8	36
Kushal Chakrabarti United States	4	13 0.7×		10 1.1×		5 1.0×	15	40
Marco Fontana Italy	6	4 0.2×		5 0.6×	3 0.3×	3 0.6×	10	206
Ruibo Li China	5	4 0.2×	32 2.7×	3 0.3×			11	48
Dmitry Lepikhin United States	2	18 0.9×		6 0.7×			3	30
Nathalie Wahl Denmark	6	3 0.1×	6 0.5×	6 0.7×			15	148
K. A. Wozniak Austria	4	2 0.1×	23 1.9×	24 2.7×	1 0.1×		7	41

Countries citing papers authored by J. Pazzini

Since Specialization

Citations

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

Fields of papers citing papers by J. Pazzini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Pazzini

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

All Works

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15 of 15 papers shown

Mengoni, D., Matteo Migliorini, F. Montecassiano, et al.. (2025). FEROCE: Front-End RDMA Over Converged Ethernet, a lightweight RoCE endpoint. EPJ Web of Conferences. 337. 1184–1184.

Borghesani, A. F., G. Carugno, G. Messineo, & J. Pazzini. (2025). Toward electron self-localization in H2 gas: Multiple scattering effects on the electron drift mobility at low temperature and intermediate densities. The Journal of Chemical Physics. 163(10).

Triossi, Andrea, et al.. (2025). Ultra-low latency quantum-inspired machine learning predictors implemented on FPGA. Machine Learning Science and Technology. 6(4). 45062–45062. 1 indexed citations

Migliorini, Matteo, et al.. (2024). 40 MHz triggerless readout of the CMS Drift Tube muon detector. Journal of Instrumentation. 19(2). C02050–C02050. 1 indexed citations

Messineo, G., Piergiorgio Antonini, M. Benettoni, et al.. (2024). Measuring the electric dipole moment of the electron using polar molecules in a parahydrogen matrix. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1069. 169951–169951. 1 indexed citations

Bergnoli, Antonio, D. Bortolato, D. Mengoni, et al.. (2024). Front-end RDMA over Converged Ethernet, real-time firmware simulation. Journal of Instrumentation. 19(3). C03038–C03038. 1 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

Borghesani, A. F., G. Carugno, G. Messineo, & J. Pazzini. (2023). Electron thermalization length in solid para-hydrogen at low-temperature. The Journal of Chemical Physics. 159(10). 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

10.

Migliorini, Matteo, J. Pazzini, Andrea Triossi, M. Zanetti, & A. Zucchetta. (2023). Trigger-less readout and unbiased data quality monitoring of the CMS drift tubes muon detector. Journal of Instrumentation. 18(1). C01003–C01003.

11.

Migliorini, Matteo, J. Pazzini, Andrea Triossi, M. Zanetti, & A. Zucchetta. (2022). A horizontally scalable online processing system for trigger-less data acquisition. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1036. 166869–166869. 3 indexed citations

12.

Pazzini, J., et al.. (2022). Beyond Transformers: fault type detection in maintenance tickets with Kernel Methods, Boost Decision Trees and Neural Networks. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8.

13.

Migliorini, Matteo, et al.. (2022). Muon trigger with fast Neural Networks on FPGA, a demonstrator. Journal of Physics Conference Series. 2374(1). 12099–12099. 10 indexed citations

14.

Pazzini, J.. (2016). Dark Matter search at LHC. CERN Bulletin. 40(1). 3. 1 indexed citations

15.

Solieri, Lisa, et al.. (2016). Differential hypersaline stress response inZygosaccharomyces rouxiicomplex yeasts: a physiological and transcriptional study. FEMS Yeast Research. 16(6). fow063–fow063. 21 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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