F. Garzetti

516 total citations
54 papers, 356 citations indexed

About

F. Garzetti is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Instrumentation. According to data from OpenAlex, F. Garzetti has authored 54 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Electrical and Electronic Engineering, 16 papers in Biomedical Engineering and 12 papers in Instrumentation. Recurrent topics in F. Garzetti's work include Advancements in PLL and VCO Technologies (33 papers), Analog and Mixed-Signal Circuit Design (14 papers) and Advanced Optical Sensing Technologies (12 papers). F. Garzetti is often cited by papers focused on Advancements in PLL and VCO Technologies (33 papers), Analog and Mixed-Signal Circuit Design (14 papers) and Advanced Optical Sensing Technologies (12 papers). F. Garzetti collaborates with scholars based in Italy, Switzerland and Denmark. F. Garzetti's co-authors include A. Geraci, N. Lusardi, Rossana De Marco, Edoardo Charbon, R. Sergo, Stefan Brünner, G. Cautero, L. Stebel, Dennis R. Schaart and Carlo Dri and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Sensors.

In The Last Decade

F. Garzetti

45 papers receiving 355 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. Garzetti Italy 11 286 142 69 56 46 54 356
N. Lusardi Italy 11 353 1.2× 173 1.2× 86 1.2× 74 1.3× 52 1.1× 69 434
Jie Kuang China 9 238 0.8× 120 0.8× 39 0.6× 73 1.3× 41 0.9× 18 338
J. Christiansen Switzerland 12 442 1.5× 230 1.6× 18 0.3× 67 1.2× 55 1.2× 32 577
Jun Yeon Won South Korea 11 166 0.6× 93 0.7× 42 0.6× 161 2.9× 13 0.3× 24 433
A. Arbel Israel 8 310 1.1× 299 2.1× 10 0.1× 33 0.6× 62 1.3× 36 401
Leandro Stefanazzi Argentina 10 226 0.8× 54 0.4× 18 0.3× 59 1.1× 13 0.3× 28 330
Theo Kluter Switzerland 8 182 0.6× 56 0.4× 333 4.8× 38 0.7× 28 0.6× 12 415
D. Gong United States 9 207 0.7× 60 0.4× 3 0.0× 22 0.4× 30 0.7× 60 285
Pengpeng Ding China 10 38 0.1× 153 1.1× 178 2.6× 72 1.3× 21 0.5× 23 337
M. Citterio Italy 9 185 0.6× 44 0.3× 3 0.0× 11 0.2× 22 0.5× 53 256

Countries citing papers authored by F. Garzetti

Since Specialization
Citations

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

Fields of papers citing papers by F. Garzetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of F. Garzetti. A scholar is included among the top collaborators of F. Garzetti 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. Garzetti. F. Garzetti 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.
Lusardi, N., F. Garzetti, A. Geraci, et al.. (2025). High-throughput wide-field multispectral FLIM system based on a 16-channel silicon photomultiplier array. APL Photonics. 10(6).
2.
3.
Cautero, Marco, F. Garzetti, N. Lusardi, et al.. (2024). High Spatial Resolution Detector System Based on Reconfigurable Dual-FPGA Approach for Coincidence Measurements. Sensors. 24(16). 5233–5233.
4.
5.
Garzetti, F., et al.. (2024). Hybrid Spatial and Temporal Computing Histogrammer in Soft Processor Core of a FPGA Device. IEEE Transactions on Circuits and Systems I Regular Papers. 71(8). 3683–3694. 1 indexed citations
6.
Garzetti, F., et al.. (2022). High-Resolution Programmable Delay Line IP-Core based on Digital-to-Time Converter for FPGAs. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–5. 1 indexed citations
7.
Lusardi, N., F. Garzetti, A. Geraci, et al.. (2022). Novel High-Resolution Fully FPGA-based Detection Setup for High-Transfer Rate Time-Resolved Experiments. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 1–4.
8.
Lusardi, N., F. Garzetti, Marco Cautero, et al.. (2022). High-Resolution Imager Based on Time-to-Space Conversion. IEEE Transactions on Instrumentation and Measurement. 71. 1–11. 10 indexed citations
9.
Garzetti, F., et al.. (2022). Assessment of the Bundle SNSPD Plus FPGA-Based TDC for High-Performance Time Measurements. IEEE Access. 10. 127894–127910. 7 indexed citations
10.
Garzetti, F., et al.. (2022). High-Performance Computing of Real-Time and Multichannel Histograms: A Full FPGA Approach. IEEE Access. 10. 47524–47540. 9 indexed citations
11.
Garzetti, F., et al.. (2022). Multi-COBS: A Novel Algorithm for Byte Stuffing at High Throughput. IEEE Access. 10. 78848–78859. 3 indexed citations
12.
Garzetti, F., et al.. (2020). SoC-based Architecture for General Purpose Real-Time Histogram Computation. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–3. 2 indexed citations
13.
Garzetti, F., et al.. (2019). Plug-and-play TOF-PET Module Readout Based on TDC-on-FPGA and Gigabit Optical Fiber Network. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–4. 12 indexed citations
14.
Lusardi, N., F. Garzetti, & A. Geraci. (2019). Digital instrument with configurable hardware and firmware for multi-channel time measures. Review of Scientific Instruments. 90(5). 55113–55113. 28 indexed citations
15.
Garzetti, F., et al.. (2019). Time-Mode analysis of Crosstalk interference in a FPGA-based TDC implementation. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–3. 2 indexed citations
16.
Lusardi, N., et al.. (2019). Multi-Channel High-Resolution Pulse-Width Modulation IP-Core Implementation for FPGA and SoC Device. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–3. 5 indexed citations
17.
Villa, Federica, Enrico Conca, N. Lusardi, et al.. (2018). SPADs and TDCs for photon-counting, timing and gated-imaging at 30 ps resolution and 60% efficiency. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–5. 2 indexed citations
18.
Garzetti, F., N. Lusardi, & A. Geraci. (2018). All-Digital Fully-Configurable Instrument for Multi-Channel Time Measurements at High Performance. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–5. 10 indexed citations
19.
Lusardi, N., F. Garzetti, & A. Geraci. (2018). The role of sub-interpolation for Delay-Line Time-to-Digital Converters in FPGA devices. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 916. 204–214. 44 indexed citations
20.
Lusardi, N., F. Garzetti, Rossana De Marco, & A. Geraci. (2018). Implementation Issues of a High-Performance Multi-Channel Time-to-Digital Converter in Xilinx 20-nm UltraScale FPGAs. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 5 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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