L. Consiglio
Impact in
- Nuclear and High Energy Physics top 10%
- Particle Detector Development and Performance
- Particle physics theoretical and experimental studies
- Astrophysics and Cosmic Phenomena
- Dark Matter and Cosmic Phenomena
- Neutrino Physics Research
- Radiation top 10%
- Radiation Detection and Scintillator Technologies
Papers in
-
- Particle Detector Development and Performance 8
- Dark Matter and Cosmic Phenomena 8
- Neutrino Physics Research 7
- Particle physics theoretical and experimental studies 6
- Astrophysics and Cosmic Phenomena 5
-
- Radiation Detection and Scintillator Technologies 6
- Co-authors
- V. TioukovG. De LellisN. D’AmbrosioA. AlexandrovMykhailo VladymyrovA. Di CrescenzoM.C. MontesiC. Sirignano
In The Last Decade
L. Consiglio
19 papers receiving 237 citations
Peers
Comparison fields: 5 of 37
- Nuclear and High Energy Physics 176
- Radiation 88
- Structural Biology 7
- Space and Planetary Science 4
- Instrumentation 10
Countries citing papers authored by L. Consiglio
This map shows the geographic impact of L. Consiglio'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 L. Consiglio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Consiglio more than expected).
Fields of papers citing papers by L. Consiglio
This network shows the impact of papers produced by L. Consiglio. 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 L. Consiglio. The network helps show where L. Consiglio may publish in the future.
Co-authorship network
The 25 scholars most cited alongside L. Consiglio, 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 | 2 | |
| 2 | 2020 | 6 | |
| 3 | 2019 | 55 | |
| 4 | 2019 | 3 | |
| 5 | 2018 | 11 | |
| 6 | 2017 | 58 | |
| 7 | 2017 | 17 | |
| 8 | 2017 | 4 | |
| 9 | 2017 | 6 | |
| 10 | 2017 | 15 | |
| 11 | 2016 | 24 | |
| 12 | 2015 | 3 | |
| 13 | 2015 | 22 | |
| 14 | 2015 | 10 | |
| 15 | 2015 | 5 | |
| 16 | 2014 | 7 | |
| 17 | 2010 | 1 | |
| 18 | 2010 | 1 | |
| 19 | 2004 | 1 |
About L. Consiglio
L. Consiglio is a scholar working on Nuclear and High Energy Physics, Radiation, Instrumentation, Astronomy and Astrophysics and Geophysics, having authored 19 papers that have together received 251 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (8 papers), Dark Matter and Cosmic Phenomena (8 papers), Neutrino Physics Research (7 papers), Particle physics theoretical and experimental studies (6 papers), Radiation Detection and Scintillator Technologies (6 papers), Astrophysics and Cosmic Phenomena (5 papers), Superconducting and THz Device Technology (2 papers) and Radiation Therapy and Dosimetry (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (176 citations), Radiation (88 citations), Structural Biology (7 citations), Space and Planetary Science (4 citations) and Instrumentation (10 citations). L. Consiglio has collaborated with scholars based in Italy, Japan and Russia. Frequent co-authors include V. Tioukov, G. De Lellis, N. D’Ambrosio, A. Alexandrov, Mykhailo Vladymyrov, A. Di Crescenzo, M.C. Montesi, C. Sirignano, A. Lauria and C. Bozza. Their work appears in journals such as Journal of Instrumentation, Scientific Reports, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Measurement Science and Technology and Annals of Geophysics.
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.