M. Tecchio

18.4k citations
10 papers · 74 · h-index 4

Impact in

Papers in

M. Tecchio

9 papers receiving 71 citations

Peers

M. Tecchio
Comparison fields: 5 of 30
  • Endocrinology, Diabetes and Metabolism 34
  • Radiation 12
  • Biophysics 6
  • Nuclear and High Energy Physics 11
  • Epidemiology 16
Replace S. Guerra with:
S. Guerra Italy
Eliana Frank United States
M. Heinz Switzerland
Ya Xing Wang China
Ann M. Tolson United States
Dan Yock Young Singapore
Alpha Mamadou Diallo Guinea
Siyao He China
Marina Gabriela Birck Brazil
Federico Grimaccia United Kingdom
M. Tecchio relative to S. Guerra Italy S. Guerra's profile →
Citations per field
00.5×4.3×
S. Guerra · 1×
Citations per year

Countries citing papers authored by M. Tecchio

Since Specialization
Citations

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

Fields of papers citing papers by M. Tecchio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Tecchio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Tecchio Line = papers co-authored together M. Tecchio links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 200945
2 202410
3 20156
4 20123
5 20173
6 20153
7 20152
8
The data acquisition system for the KOTO detector
20141
9 20151
10 20150

About M. Tecchio

M. Tecchio is a scholar working on Nuclear and High Energy Physics, Pulmonary and Respiratory Medicine, Radiation, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 74 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (6 papers), Particle physics theoretical and experimental studies (6 papers), Dark Matter and Cosmic Phenomena (2 papers), Neutrino Physics Research (2 papers), Quantum Chromodynamics and Particle Interactions (2 papers), Body Composition Measurement Techniques (1 paper), Radiation Therapy and Dosimetry (1 paper) and Electromagnetic Fields and Biological Effects (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (34 citations), Radiation (12 citations), Biophysics (6 citations), Nuclear and High Energy Physics (11 citations) and Epidemiology (16 citations). M. Tecchio has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Paolo Mulatero, Francesco Tona, Chiara Bertello, Leonardo A. Sechi, Mario Ermani, Nicoletta Sonino, Francesco Fallo, Cristiana Catena, Bruno Fabris and D. Trevisan. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, IEEE Transactions on Nuclear Science, Radiation Protection Dosimetry, American Journal of Hypertension and Medical Physics.

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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