M. C. Maccarone
- Astronomy and Astrophysics top 5%
- Gamma-ray bursts and supernovae 13
- Nuclear and High Energy Physics top 10%
- Astrophysics and Cosmic Phenomena 35
- Particle Detector Development and Performance 23
- Dark Matter and Cosmic Phenomena 15
- Radiation top 10%
- Radiation Detection and Scintillator Technologies 9
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- Astronomical Observations and Instrumentation 6
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- CCD and CMOS Imaging Sensors 5
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- Calibration and Measurement Techniques 5
- Journals
- The Astrophysical Journal (2 papers)Pattern Recognition (1 paper)The Astrophysical Journal Supplement Series (1 paper)
- Partner nations
- ItalyGermanyNetherlands
In The Last Decade
M. C. Maccarone
53 papers receiving 513 citations
Peers
Comparison fields: 5 of 48
- Astronomy and Astrophysics 376
- Nuclear and High Energy Physics 242
- Radiation 54
- Geophysics 52
- Instrumentation 12
Countries citing papers authored by M. C. Maccarone
This map shows the geographic impact of M. C. Maccarone'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. C. Maccarone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. C. Maccarone more than expected).
Fields of papers citing papers by M. C. Maccarone
This network shows the impact of papers produced by M. C. Maccarone. 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. C. Maccarone. The network helps show where M. C. Maccarone may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. C. Maccarone, 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 | 2023 | 0 | |
| 2 | 2022 | 2 | |
| 3 | 2021 | 3 | |
| 4 | 2019 | 2 | |
| 5 | Cherenkov muography for studying the internal structure of volcanoes | 2018 | 0 |
| 6 | 2017 | 2 | |
| 7 | 2017 | 1 | |
| 8 | 2015 | 0 | |
| 9 | 2015 | 2 | |
| 10 | The ASTRI SST-2M Prototype: Camera and Electronics | 2013 | 3 |
| 11 | The ASTRI Project: An Innovative Prototype for a Cherenkov Dual-mirror Small-telescope | 2013 | 1 |
| 12 | The Site of the ASTRI SST-2M Telescope Prototype | 2013 | 1 |
| 13 | 2011 | 3 | |
| 14 | Simulation and Data Analysis for EUSO | 2003 | 0 |
| 15 | 2003 | 4 | |
| 16 | 2001 | 2 | |
| 17 | 2001 | 17 | |
| 18 | 1998 | 1 | |
| 19 | A support environment in the X-ray astronomical data analysis: some preliminaries. | 1988 | 1 |
| 20 | The Bayesian direct deconvolution method: properties and applications | 1984 | 11 |
About M. C. Maccarone
M. C. Maccarone is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Radiation, having authored 62 papers that have together received 535 indexed citations. Recurring topics across this work include Astrophysics and Cosmic Phenomena (35 papers), Particle Detector Development and Performance (23 papers), Dark Matter and Cosmic Phenomena (15 papers), Gamma-ray bursts and supernovae (13 papers), Radiation Detection and Scintillator Technologies (9 papers), Astronomical Observations and Instrumentation (6 papers), CCD and CMOS Imaging Sensors (5 papers) and Calibration and Measurement Techniques (5 papers). The work is most often cited by research in Astronomy and Astrophysics (376 citations), Nuclear and High Energy Physics (242 citations) and Radiation (54 citations). M. C. Maccarone has collaborated with scholars based in Italy, Germany and Netherlands. Frequent co-authors include T. Mineo, G. Cusumano, B. Sacco, G. La Rosa, Vito Di Gesù, M. Tripiciano, L. Chiappetti, S. Molendi, G. Conti and S. Del Sordo. Their work appears in journals such as The Astrophysical Journal, Pattern Recognition and The Astrophysical Journal Supplement Series.
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.