M. Pedrali-Noy

18 total papers · 1.7k total citations
9 papers, 96 citations indexed

About

M. Pedrali-Noy is a scholar working on Radiation, Electrical and Electronic Engineering and Nuclear and High Energy Physics. According to data from OpenAlex, M. Pedrali-Noy has authored 9 papers receiving a total of 96 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiation, 5 papers in Electrical and Electronic Engineering and 4 papers in Nuclear and High Energy Physics. Recurrent topics in M. Pedrali-Noy's work include Radiation Detection and Scintillator Technologies (7 papers), Particle Detector Development and Performance (4 papers) and CCD and CMOS Imaging Sensors (3 papers). M. Pedrali-Noy is often cited by papers focused on Radiation Detection and Scintillator Technologies (7 papers), Particle Detector Development and Performance (4 papers) and CCD and CMOS Imaging Sensors (3 papers). M. Pedrali-Noy collaborates with scholars based in United States, Italy and United Kingdom. M. Pedrali-Noy's co-authors include E. Mandelli, B. Krieger, G. Meddeler, V. Rosso, W. Moses, Martin Saint-Laurent, D. Q. Bui, Stephen E. Derenzo, I. Kipnis and Baker Mohammad and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, 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

M. Pedrali-Noy

8 papers receiving 90 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M. Pedrali-Noy	66	49	46	21	19	9	96
V. Bonzom	62 0.9×	41 0.8×	66 1.4×	22 1.0×	11 0.6×	8	91
A. Shenai	87 1.3×	30 0.6×	69 1.5×	13 0.6×	6 0.3×	15	104
G. Iles	30 0.5×	23 0.5×	51 1.1×	9 0.4×	15 0.8×	13	74
Leonardo Rossi	71 1.1×	64 1.3×	82 1.8×	14 0.7×	14 0.7×	6	104
A. Perazzo	29 0.4×	45 0.9×	47 1.0×	5 0.2×	13 0.7×	11	98
L. Perktold	62 0.9×	27 0.6×	41 0.9×	28 1.3×	13 0.7×	14	85
J.F. Genat	43 0.7×	14 0.3×	30 0.7×	24 1.1×	5 0.3×	13	60
D. Calvet	39 0.6×	47 1.0×	56 1.2×	35 1.7×	28 1.5×	14	90
E. Santin	159 2.4×	53 1.1×	51 1.1×	120 5.7×	16 0.8×	14	213
E. Corrin	60 0.9×	80 1.6×	99 2.2×	3 0.1×	9 0.5×	12	112

Countries citing papers authored by M. Pedrali-Noy

Since Specialization

Citations

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

Fields of papers citing papers by M. Pedrali-Noy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Pedrali-Noy. 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 M. Pedrali-Noy. The network helps show where M. Pedrali-Noy may publish in the future.

Co-authorship network of co-authors of M. Pedrali-Noy

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

All Works

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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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