G. Bassi

4.2k total citations
13 papers, 83 citations indexed

About

G. Bassi is a scholar working on Nuclear and High Energy Physics, Radiology, Nuclear Medicine and Imaging and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, G. Bassi has authored 13 papers receiving a total of 83 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nuclear and High Energy Physics, 5 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in G. Bassi's work include Particle Detector Development and Performance (8 papers), Particle physics theoretical and experimental studies (7 papers) and Medical Imaging Techniques and Applications (5 papers). G. Bassi is often cited by papers focused on Particle Detector Development and Performance (8 papers), Particle physics theoretical and experimental studies (7 papers) and Medical Imaging Techniques and Applications (5 papers). G. Bassi collaborates with scholars based in Italy, United Kingdom and China. G. Bassi's co-authors include Luigi Colalongo, Anna Richelli, Zsolt M. Kovács‐Vajna, M. Dorigo, L. Lanceri, Y. Jin, A. Gabrielli, L. Bosisio, L. Vitale and P. Cristaudo and has published in prestigious journals such as SHILAP Revista de lepidopterología, 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

G. Bassi

11 papers receiving 81 citations

Peers

G. Bassi
Jack Reynolds United States
D. David Israel
M. Oriunno United States
A. Mapelli Switzerland
В. В. Мочалов Russia
Jean-Claude Biasci France
C. Heßler Germany
Xiaohao Dong China
S. Polenz Germany
Idoia Freijo Martìn Germany
Jack Reynolds United States
G. Bassi
Citations per year, relative to G. Bassi G. Bassi (= 1×) peers Jack Reynolds

Countries citing papers authored by G. Bassi

Since Specialization
Citations

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

Fields of papers citing papers by G. Bassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

13 of 13 papers shown
1.
Lazzari, F., W. Baldini, G. Bassi, et al.. (2024). Demonstration of track reconstruction with FPGAs on live data at LHCb. SHILAP Revista de lepidopterología. 295. 2009–2009.
2.
Bassi, G., L. Giambastiani, K. Hennessy, et al.. (2023). A FPGA-Based Architecture for Real-Time Cluster Finding in the LHCb Silicon Pixel Detector. IEEE Transactions on Nuclear Science. 70(6). 1189–1201. 4 indexed citations
3.
Lazzari, F., W. Baldini, G. Bassi, et al.. (2022). FPGA-based real-time data processing for accelerating reconstruction at LHCb. Journal of Instrumentation. 17(4). C04011–C04011. 1 indexed citations
4.
Bassi, G., L. Bosisio, G. Cautero, et al.. (2021). Performance of the diamond-based beam-loss monitor system of Belle II. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 997. 165157–165157. 11 indexed citations
5.
Bassi, G., L. Bosisio, P. Cristaudo, et al.. (2021). Calibration of diamond detectors for dosimetry in beam-loss monitoring. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1004. 165383–165383. 10 indexed citations
6.
Bassi, G., L. Giambastiani, F. Lazzari, et al.. (2021). A real-time FPGA-based cluster finding algorithm for LHCb silicon pixel detector. SHILAP Revista de lepidopterología. 251. 4016–4016. 2 indexed citations
7.
Lazzari, F., G. Bassi, R. Cenci, M. J. Morello, & G. Punzi. (2020). Real-time cluster finding for LHCb silicon pixel VELO detector using FPGA. Journal of Physics Conference Series. 1525(1). 12044–12044. 2 indexed citations
8.
Bassi, G.. (2019). A 2D FPGA-based clustering algorithm for the LHCb silicon pixel detector running at 30 MHz. CERN Bulletin. 1 indexed citations
9.
Bassi, G.. (2018). Radiation monitor with diamond sensors for the Belle II experiment at SuperKEKB. 1 indexed citations
10.
Bassi, G., et al.. (2013). 100 mV–1.2 V fully‐integrated DC–DC converters for thermal energy harvesting. IET Power Electronics. 6(6). 1151–1156. 23 indexed citations
11.
Frattura, Lucilla, et al.. (2012). The FBE development project: toward flexible electronic standards-based bio-psycho-social individual records. Studies in health technology and informatics. 180. 651–5. 4 indexed citations
12.
Bassi, G., Luigi Colalongo, Anna Richelli, & Zsolt M. Kovács‐Vajna. (2012). A 150mV-1.2V fully-integrated DC-DC converter for Thermal Energy Harvesting. 331–334. 23 indexed citations
13.
Bassi, G., et al.. (2010). Indagine sperimentale e numerica sulla caduta di tensione nelle strutture in cemento armato precompresso ai fini del monitoraggio strutturale. 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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