A. Dragone

2.2k total citations
93 papers, 962 citations indexed

About

A. Dragone is a scholar working on Radiation, Nuclear and High Energy Physics and Electrical and Electronic Engineering. According to data from OpenAlex, A. Dragone has authored 93 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Radiation, 57 papers in Nuclear and High Energy Physics and 47 papers in Electrical and Electronic Engineering. Recurrent topics in A. Dragone's work include Particle Detector Development and Performance (57 papers), Radiation Detection and Scintillator Technologies (39 papers) and Medical Imaging Techniques and Applications (28 papers). A. Dragone is often cited by papers focused on Particle Detector Development and Performance (57 papers), Radiation Detection and Scintillator Technologies (39 papers) and Medical Imaging Techniques and Applications (28 papers). A. Dragone collaborates with scholars based in United States, Italy and France. A. Dragone's co-authors include F. Corsi, Gianluigi De Geronimo, C. Kenney, G. Carini, Ryan Herbst, P. Caragiulo, C. Marzocca, Philip Hart, G. Haller and Emerson Vernon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geochimica et Cosmochimica Acta and Sensors and Actuators B Chemical.

In The Last Decade

A. Dragone

84 papers receiving 947 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Dragone United States	17	644	367	355	238	197	93	962
G. Carini United States	19	846 1.3×	1.0k 2.8×	427 1.2×	139 0.6×	414 2.1×	129	1.5k
J.F.C.A. Veloso Portugal	20	1.2k 1.8×	288 0.8×	1.1k 3.0×	207 0.9×	275 1.4×	179	1.6k
Wataru Kada Japan	16	250 0.4×	328 0.9×	35 0.1×	28 0.1×	89 0.5×	106	871
R.W. Hollander Netherlands	18	623 1.0×	130 0.4×	333 0.9×	128 0.5×	54 0.3×	85	923
K. Kuroda France	16	220 0.3×	146 0.4×	578 1.6×	25 0.1×	107 0.5×	65	904
Mauro A. Alves Portugal	16	307 0.5×	134 0.4×	162 0.5×	44 0.2×	55 0.3×	64	714
Riccardo Signorato Germany	14	385 0.6×	181 0.5×	36 0.1×	7 0.0×	189 1.0×	37	688
Kai Masuda Japan	14	208 0.3×	195 0.5×	101 0.3×	56 0.2×	116 0.6×	155	779
A. Bonissent France	13	81 0.1×	55 0.1×	52 0.1×	121 0.5×	178 0.9×	41	517
Jean-Marie Rigal France	5	146 0.2×	66 0.2×	62 0.2×	23 0.1×	66 0.3×	5	342

Countries citing papers authored by A. Dragone

Since Specialization

Citations

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

Fields of papers citing papers by A. Dragone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Dragone

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

All Works

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20 of 20 papers shown

Mele, Filippo, et al.. (2024). The SparkPix-S ASIC for the sparsified readout of 1 MHz frame-rate X-ray cameras at LCLS-II: pixel design and simulation results. Journal of Instrumentation. 19(1). C01010–C01010. 3 indexed citations

Gonski, J. L., et al.. (2024). Embedded FPGA developments in 130 nm and 28 nm CMOS for machine learning in particle detector readout. Journal of Instrumentation. 19(8). P08023–P08023. 3 indexed citations

Sofo-Haro, Miguel, Claudio Chavez, Fernando Chierchie, et al.. (2024). Skipper-in-CMOS: Nondestructive Readout With Subelectron Noise Performance for Pixel Detectors. IEEE Transactions on Electron Devices. 71(11). 6843–6849. 4 indexed citations

Brau, J. E., et al.. (2024). The SiD Digital ECal Based on Monolithic Active Pixel Sensors. SHILAP Revista de lepidopterología. 315. 3005–3005.

Kim, Hyunjoon, Bojan Marković, Guosheng Liu, et al.. (2024). A Single-Ended SAR ADC with Low-Energy Differential Switching for X-Ray Imagers. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–4.

Doering, D., Hong Shi, G. Sathyamoorthy, et al.. (2024). Characterization of SparkPix-RT1: A 48x48 charge-integrating X-ray pixel detector with on-chip compression. 1–1.

Doering, D., et al.. (2023). Firmware design and performance for the ePix HR 2Mega Pixel X-ray Detector for LCLS-II. 2015. 1–1.

Dragone, A., et al.. (2023). SACI: A Serial Interface for ASIC Configuration. 1–1.

Doering, D., Bojan Marković, Larry Ruckman, et al.. (2022). ePixHR10k 2M – A 2M Pixel X-ray Detector at 5,000 Frame Per Second for LCLS-II. 1–2.

10.

Blaj, G., M. Cascella, Valerio Cerantola, et al.. (2021). Radiation hardness study of the ePix100 sensor and ASIC under direct illumination at the European XFEL. BOA (University of Milano-Bicocca). 1 indexed citations

11.

Segal, J., et al.. (2021). Thin-Entrance Window Process for Soft X-Ray Sensors. Frontiers in Physics. 9. 5 indexed citations

12.

Driel, Tim B. van, S. Nelson, G. Blaj, et al.. (2020). The ePix10k 2-megapixel hard X-ray detector at LCLS. Journal of Synchrotron Radiation. 27(3). 608–615. 22 indexed citations

13.

Blaj, G., C. Kenney, A. Dragone, et al.. (2017). Optimal Pulse Processing, Pile-Up Decomposition, and Applications of Silicon Drift Detectors at LCLS. IEEE Transactions on Nuclear Science. 64(11). 2854–2868. 8 indexed citations

14.

Blaj, G., P. Caragiulo, G. Carini, et al.. (2016). Future of ePix detectors for high repetition rate FELs. AIP conference proceedings. 14 indexed citations

15.

Dragone, A., P. Caragiulo, G. Carini, et al.. (2014). eLine10k: A High Dynamic Range Front-End ASIC for LCLS Detectors. IEEE Transactions on Nuclear Science. 61(2). 992–1000. 5 indexed citations

16.

Dragone, A., J.‐F. Pratte, P. Řehák, et al.. (2008). XAMPS detector readout ASIC for LCLS. 2970–2975. 8 indexed citations

17.

Vilardi, I., A. Braem, E. Chesi, et al.. (2006). Optimization of the effective light attenuation length of YAP:Ce and LYSO:Ce crystals for a novel geometrical PET concept. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 564(1). 506–514. 49 indexed citations

18.

Dragone, A., F. Corsi, C. Marzocca, et al.. (2005). An event driven read-out system for a novel PET scanner with compton enhanced 3D gamma reconstruction. IEEE Symposium Conference Record Nuclear Science 2004.. 5. 3156–3160. 2 indexed citations

19.

Séguinot, J., E. Nappi, E. Chesi, et al.. (2004). Novel Geometrical Concept of a High Performance Brain PET Scanner : Principle, Design and Performance Estimates. CERN Bulletin. 29(4). 429–463. 20 indexed citations

20.

Bruno, P., et al.. (2004). High relative humidity range sensor based on polymer-coated STW resonant device. Sensors and Actuators B Chemical. 100(1-2). 126–130. 27 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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