M. Passaseo
Impact in
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- Particle Detector Development and Performance
- Particle physics theoretical and experimental studies
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- Radiation Detection and Scintillator Technologies
Papers in
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- Particle Detector Development and Performance 8
- Particle physics theoretical and experimental studies 4
- Dark Matter and Cosmic Phenomena 1
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- Radiation Detection and Scintillator Technologies 4
- Co-authors
- S. Veneziano (3 shared papers)E. Petrolo (2 shared papers)G. Rampazzo (1 shared paper)M Zuffa (3 shared papers)I. DʼAntone (3 shared papers)L. Malferrari (4 shared papers)P. Musico (3 shared papers)A. Cotta Ramusino (3 shared papers)
- Journals
- Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (7 papers)International Journal of Modern Physics C (1 paper)Prepared for (1 paper)
- Partner nations
- ItalySwitzerlandGermany
In The Last Decade
M. Passaseo
10 papers receiving 40 citations
Peers
Comparison fields: 5 of 23
- Nuclear and High Energy Physics 26
- Radiation 9
- Artificial Intelligence 15
- Computer Networks and Communications 6
- Electrical and Electronic Engineering 14
Countries citing papers authored by M. Passaseo
This map shows the geographic impact of M. Passaseo'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. Passaseo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Passaseo more than expected).
Fields of papers citing papers by M. Passaseo
This network shows the impact of papers produced by M. Passaseo. 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. Passaseo. The network helps show where M. Passaseo may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Passaseo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 9 | |
| 2 | 1995 | 7 | |
| 3 | 1995 | 5 | |
| 4 | 1995 | 4 | |
| 5 | 1994 | 4 | |
| 6 | 1996 | 4 | |
| 7 | 2006 | 4 | |
| 8 | 1999 | 4 | |
| 9 | TEST OF MB3 MUON BARREL DRIFT CHAMBERS WITH COSMIC RAYS | 2003 | 3 |
| 10 | Design of a multichannel TDC integrated circuit for drift chamber readout | 1995 | 1 |
| 11 | The validation system for the Barrel Muon Chambers at LNL - The cosmic setup - | 2003 | 1 |
About M. Passaseo
M. Passaseo is a scholar working on Nuclear and High Energy Physics, Radiation, Computer Networks and Communications, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 11 papers that have together received 46 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (8 papers), Particle physics theoretical and experimental studies (4 papers), Radiation Detection and Scintillator Technologies (4 papers), Atomic and Subatomic Physics Research (2 papers), Neural Networks and Applications (2 papers), Combustion and flame dynamics (1 paper), Dark Matter and Cosmic Phenomena (1 paper) and Statistical Mechanics and Entropy (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (26 citations), Radiation (9 citations), Artificial Intelligence (15 citations), Computer Networks and Communications (6 citations) and Electrical and Electronic Engineering (14 citations). M. Passaseo has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include S. Veneziano, E. Petrolo, G. Rampazzo, M Zuffa, I. DʼAntone, L. Malferrari, P. Musico, A. Cotta Ramusino, S. Ventura and C. Baldanza. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, International Journal of Modern Physics C and Prepared for.
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.