R. Piandani

3.1k total citations
20 papers, 63 citations indexed

About

R. Piandani is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Radiation. According to data from OpenAlex, R. Piandani has authored 20 papers receiving a total of 63 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Nuclear and High Energy Physics, 7 papers in Computer Networks and Communications and 5 papers in Radiation. Recurrent topics in R. Piandani's work include Particle Detector Development and Performance (15 papers), Particle physics theoretical and experimental studies (13 papers) and Radiation Detection and Scintillator Technologies (5 papers). R. Piandani is often cited by papers focused on Particle Detector Development and Performance (15 papers), Particle physics theoretical and experimental studies (13 papers) and Radiation Detection and Scintillator Technologies (5 papers). R. Piandani collaborates with scholars based in Italy, Switzerland and Mexico. R. Piandani's co-authors include M. Sozzi, G. Lamanna, F. Spinella, S. Venditti, J. Pinzino, B. Angelucci, E. Pedreschi, M. Raggi, S. Giudici and Michele Martinelli 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

R. Piandani

16 papers receiving 62 citations

Peers

R. Piandani
A. Sfyrla Switzerland
S. Haas Switzerland
J. Saini India
R. Cornat France
D. Kresan Germany
P. Chochula Switzerland
H. Wu United States
J. Poveda Spain
A. Sfyrla Switzerland
R. Piandani
Citations per year, relative to R. Piandani R. Piandani (= 1×) peers A. Sfyrla

Countries citing papers authored by R. Piandani

Since Specialization
Citations

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

Fields of papers citing papers by R. Piandani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Piandani

This figure shows the co-authorship network connecting the top 25 collaborators of R. Piandani. A scholar is included among the top collaborators of R. Piandani 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 R. Piandani. R. Piandani 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.
Ammendola, Roberto, A. Biagioni, Ottorino Frezza, et al.. (2025). Achieving Low-Latency, High-Throughput Online Partial Particle Identification for the NA62 Experiment Using FPGAs and Machine Learning. Electronics. 14(9). 1892–1892. 1 indexed citations
2.
Ammendola, Roberto, A. Biagioni, Ottorino Frezza, et al.. (2025). The new hardware trigger processor at NA62 experiment: Status of the System and First Results. EPJ Web of Conferences. 337. 1252–1252. 1 indexed citations
3.
Ammendola, Roberto, A. Biagioni, Ottorino Frezza, et al.. (2022). Progress report on the online processing upgrade at the NA62 experiment. Journal of Instrumentation. 17(4). C04002–C04002. 1 indexed citations
4.
Ammendola, Roberto, A. Biagioni, Ottorino Frezza, et al.. (2020). L0TP+: the Upgrade of the NA62 Level-0 Trigger Processor. SHILAP Revista de lepidopterología. 245. 1017–1017. 1 indexed citations
5.
Biagioni, A., Ottorino Frezza, Francesca Lo Cicero, et al.. (2019). NaNet: a Reconfigurable PCIe Network Interface Card Architecture for Real-time Distributed Heterogeneous Stream Processing in the NA62 Low Level Trigger.. CINECA IRIS Institutial research information system (University of Pisa). 118–118. 2 indexed citations
6.
Ammendola, Roberto, M. Barbanera, A. Biagioni, et al.. (2018). Real-time heterogeneous stream processing with NaNet in the NA62 experiment. Journal of Physics Conference Series. 1085. 32022–32022. 1 indexed citations
7.
Ammendola, Roberto, A. Biagioni, S. Di Lorenzo, et al.. (2017). Development of Network Interface Cards for TRIDAQ systems with the NaNet framework. Journal of Instrumentation. 12(3). C03037–C03037.
8.
Ammendola, Roberto, A. Biagioni, M. Fiorini, et al.. (2016). NaNet-10: a 10GbE network interface card for the GPU-based low-level trigger of the NA62 RICH detector.. Journal of Instrumentation. 11(3). C03030–C03030. 4 indexed citations
9.
Piandani, R.. (2016). Search for the dark photon inπ0decays. SHILAP Revista de lepidopterología. 126. 4035–4035. 11 indexed citations
10.
Piandani, R.. (2015). ChPT test at NA48 and NA62 experiment at CERN. Nuclear and Particle Physics Proceedings. 258-259. 75–79.
11.
Pedreschi, E., C. Avanzini, S. Galeotti, et al.. (2015). A High-Resolution TDC-Based Board for a Fully Digital Trigger and Data Acquisition System in the NA62 Experiment at CERN. IEEE Transactions on Nuclear Science. 62(3). 1050–1055. 7 indexed citations
12.
Ammendola, Roberto, M. Bauce, A. Biagioni, et al.. (2015). Graphics Processing Units for HEP trigger systems. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 824. 307–310. 1 indexed citations
13.
Angelucci, B., G. Lamanna, E. Pedreschi, et al.. (2014). The FPGA based Trigger and Data Acquisition system for the CERN NA62 experiment. Journal of Instrumentation. 9(1). C01055–C01055. 11 indexed citations
14.
Ammendola, Roberto, A. Biagioni, R. Fantechi, et al.. (2014). NaNet: a low-latency NIC enabling GPU-based, real-time low level trigger systems. Journal of Physics Conference Series. 513(1). 12018–12018. 2 indexed citations
15.
Lamanna, G., Roberto Ammendola, M. Bauce, et al.. (2014). GPUs for real-time processing in HEP trigger systems. Journal of Physics Conference Series. 513(1). 12017–12017. 2 indexed citations
16.
Spinella, F., B. Angelucci, G. Lamanna, et al.. (2014). The TEL62: A real-time board for the NA62 Trigger and Data AcQuisition. Data flow and firmware design. CINECA IRIS Institutial research information system (University of Pisa). 1–2. 3 indexed citations
17.
Ammendola, Roberto, M. Bauce, A. Biagioni, et al.. (2013). The GAP project - GPU for realtime applications in high energy physics and medical imaging. CINECA IRIS Institutial research information system (University of Pisa). 396. 1–7.
18.
Cenci, P., G. Anzivino, F. Bucci, et al.. (2013). The ring imaging Cherenkov detector of the NA62 experiment at CERN. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 732. 342–345. 2 indexed citations
19.
Anzivino, G., A. Bizzeti, Francesca Bucci, et al.. (2013). Studies of the Effects of CO$_2$ Contamination of the Neon Gas Radiator on the Performance of the NA62 RICH Detector. IEEE Transactions on Nuclear Science. 60(1). 265–269.
20.
Anzivino, G., C. Biino, A. Bizzeti, et al.. (2008). Construction and test of a RICH prototype for the NA62 experiment. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 593(3). 314–318. 13 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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