S. M. Mazza

51.2k total citations
19 papers, 169 citations indexed

About

S. M. Mazza is a scholar working on Nuclear and High Energy Physics, Radiation and Electrical and Electronic Engineering. According to data from OpenAlex, S. M. Mazza has authored 19 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Nuclear and High Energy Physics, 15 papers in Radiation and 11 papers in Electrical and Electronic Engineering. Recurrent topics in S. M. Mazza's work include Particle Detector Development and Performance (17 papers), Radiation Detection and Scintillator Technologies (15 papers) and CCD and CMOS Imaging Sensors (9 papers). S. M. Mazza is often cited by papers focused on Particle Detector Development and Performance (17 papers), Radiation Detection and Scintillator Technologies (15 papers) and CCD and CMOS Imaging Sensors (9 papers). S. M. Mazza collaborates with scholars based in United States, Italy and Slovenia. S. M. Mazza's co-authors include A. Seiden, Z. Galloway, Y. Zhao, N. Cartiglia, G. Paternoster, M. Mandurrino, V. Sola, M. Ferrero, F. Ficorella and M. Tornago 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 Journal of Instrumentation.

In The Last Decade

S. M. Mazza

17 papers receiving 164 citations

Peers

S. M. Mazza
Comparison fields: 5 of 19
  • Nuclear and High Energy Physics 146
  • Electrical and Electronic Engineering 122
  • Radiation 118
  • Radiology, Nuclear Medicine and Imaging 11
  • Biomedical Engineering 10
Replace Y. Zhao with:
Y. Zhao United States
M. Tornago Italy
F. Siviero Italy
M. Carulla Switzerland
T. Kugathasan Switzerland
M. Goffe France
S. Löchner Germany
A. Messineo Italy
Esteban Currás Rivera Switzerland
D. Eckstein Switzerland
Y. Zhao United States View profile →
Citations per field, relative to S. M. Mazza
S. M. Mazza · 1×
Citations per year, relative to S. M. Mazza
S. M. Mazza · 1×

Countries citing papers authored by S. M. Mazza

Since Specialization
Citations

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

Fields of papers citing papers by S. M. Mazza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. M. Mazza. 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 S. M. Mazza. The network helps show where S. M. Mazza may publish in the future.

Co-authorship network of co-authors of S. M. Mazza

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 2
5 1
6 3
7 7
8 6
9 3
10 1
11 3
12 24
13 6
14 7
15 23
16 8
17 72
18 0
19
Spatial distribution pattern of lepidopteron cotton pests in Argentine.
1

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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