F. Alfonsi

6.0k total citations
10 papers, 28 citations indexed

About

F. Alfonsi is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, F. Alfonsi has authored 10 papers receiving a total of 28 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 4 papers in Nuclear and High Energy Physics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in F. Alfonsi's work include Particle Detector Development and Performance (4 papers), Image and Object Detection Techniques (3 papers) and Network Security and Intrusion Detection (3 papers). F. Alfonsi is often cited by papers focused on Particle Detector Development and Performance (4 papers), Image and Object Detection Techniques (3 papers) and Network Security and Intrusion Detection (3 papers). F. Alfonsi collaborates with scholars based in Italy and United Kingdom. F. Alfonsi's co-authors include A. Gabrielli, Marco Grossi, Marco Prandini, G. D’amen, A. Annovi, N. Giangiacomi, G. Balbi, D. Falchieri, A. Camplani and R. Travaglini and has published in prestigious journals such as Sensors, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and IEEE Transactions on Nuclear Science.

In The Last Decade

F. Alfonsi

8 papers receiving 28 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. Alfonsi Italy 5 12 11 10 5 4 10 28
K. Unger Germany 3 8 0.7× 12 1.1× 10 1.0× 8 1.6× 12 23
LI Jian-hua China 3 17 1.4× 19 1.7× 18 1.8× 6 1.2× 2 0.5× 7 38
Maciej Skórski Poland 4 10 0.8× 6 0.5× 4 0.4× 9 1.8× 2 0.5× 14 30
N. Abel Germany 5 20 1.7× 30 2.7× 15 1.5× 5 1.0× 8 41
T. Lazovich United States 4 10 0.8× 5 0.5× 4 0.4× 3 0.6× 9 2.3× 9 36
Richard Lawrence United States 3 3 0.3× 6 0.5× 10 1.0× 6 1.2× 5 1.3× 6 28
Phuoc Pham South Korea 5 9 0.8× 7 0.6× 3 0.3× 13 2.6× 5 1.3× 7 41
Thinh Dang United States 3 11 0.9× 7 0.6× 3 0.3× 3 0.6× 7 1.8× 4 30
R. Mundy Canada 3 6 0.5× 5 0.5× 17 1.7× 4 0.8× 2 0.5× 4 22
N. Gopalakrishna Kini India 4 12 1.0× 17 1.5× 29 2.9× 2 0.4× 1 0.3× 19 50

Countries citing papers authored by F. Alfonsi

Since Specialization
Citations

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

Fields of papers citing papers by F. Alfonsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

10 of 10 papers shown
1.
Grossi, Marco, F. Alfonsi, Marco Prandini, & A. Gabrielli. (2024). Increasing the Security of Network Data Transmission with a Configurable Hardware Firewall Based on Field Programmable Gate Arrays. Future Internet. 16(9). 303–303. 4 indexed citations
2.
Grossi, Marco, F. Alfonsi, Marco Prandini, & A. Gabrielli. (2023). A Highly Configurable Packet Sniffer Based on Field-Programmable Gate Arrays for Network Security Applications. Electronics. 12(21). 4412–4412. 6 indexed citations
3.
Grossi, Marco, F. Alfonsi, Marco Prandini, & A. Gabrielli. (2023). A high throughput Intrusion Detection System (IDS) to enhance the security of data transmission among research centers. Journal of Instrumentation. 18(12). C12017–C12017. 4 indexed citations
4.
Gabrielli, A., F. Alfonsi, & F. Del Corso. (2022). Hough Transform Proposal and Simulations for Particle Track Recognition for LHC Phase-II Upgrade. Sensors. 22(5). 1768–1768.
5.
Gabrielli, A., F. Alfonsi, & F. Del Corso. (2022). Simulated Hough Transform Model Optimized for Straight-Line Recognition Using Frontier FPGA Devices. Electronics. 11(4). 517–517. 4 indexed citations
6.
Todome, K. & F. Alfonsi. (2022). Hough transform implementation on FPGA for event filtering of HL-LHC. Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022). 216–216.
7.
Gabrielli, A., F. Alfonsi, A. Annovi, A. Camplani, & A. Cerri. (2021). Hardware Implementation Study of Particle Tracking Algorithm on FPGAs. Electronics. 10(20). 2546–2546. 4 indexed citations
8.
Giangiacomi, N., F. Alfonsi, G. D’amen, et al.. (2019). General Purpose Readout Board $\pi$ LUP: Overview and Results. IEEE Transactions on Nuclear Science. 66(7). 1021–1027. 2 indexed citations
9.
Gabrielli, A., F. Alfonsi, G. D’amen, et al.. (2018). A PCI Express board proposed for the upgrade of the ATLAS TDAQ read-out system. 76–76. 1 indexed citations
10.
Gabrielli, A., F. Alfonsi, G. Balbi, et al.. (2018). A multi-channel PCI express readout board for fast readout of large pixel detectors. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 924. 279–281. 3 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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