C. Lazzeroni
- Nuclear and High Energy Physics
- Artificial Intelligence
- Developmental and Educational Psychology
- Education
- Statistical and Nonlinear Physics
- Co-authors
- E. RossiP. MartinengoA. CardiniC. AngeliniDavid BarneyM. AdinolfiC. RodaS. Cohen
- Topics
- Particle Detector Development and Performance (5 papers)Particle physics theoretical and experimental studies (3 papers)High-Energy Particle Collisions Research (3 papers)
- Cited by
- Nuclear and High Energy PhysicsDevelopmental and Educational PsychologyArtificial Intelligence
- Journals
- Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated EquipmentJournal of InstrumentationUniverse
- Partner nations
- United KingdomItalySlovakia
In The Last Decade
C. Lazzeroni
9 papers receiving 26 citations
Peers
Comparison fields: 5 of 16
- Nuclear and High Energy Physics 14
- Artificial Intelligence 8
- Developmental and Educational Psychology 6
- Education 5
- Statistical and Nonlinear Physics 3
Countries citing papers authored by C. Lazzeroni
This map shows the geographic impact of C. Lazzeroni'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 C. Lazzeroni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Lazzeroni more than expected).
Fields of papers citing papers by C. Lazzeroni
This network shows the impact of papers produced by C. Lazzeroni. 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 C. Lazzeroni. The network helps show where C. Lazzeroni may publish in the future.
Co-authorship network of co-authors of C. Lazzeroni
This figure shows the co-authorship network connecting the top 25 collaborators of C. Lazzeroni. A scholar is included among the top collaborators of C. Lazzeroni 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 C. Lazzeroni. C. Lazzeroni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | Determination of the CKM-Angle with Tree-Level Processes at LHCb | 0 |
| 10 | 1 | |
| 11 | 7 |
About C. Lazzeroni
C. Lazzeroni is a scholar working on Nuclear and High Energy Physics, Radiation and Computer Science Applications, having authored 11 papers that have together received 28 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (5 papers), Particle physics theoretical and experimental studies (3 papers) and High-Energy Particle Collisions Research (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (14 citations), Developmental and Educational Psychology (6 citations) and Artificial Intelligence (8 citations). C. Lazzeroni has collaborated with scholars based in United Kingdom, Italy and Slovakia. Frequent co-authors include E. Rossi, P. Martinengo, A. Cardini, C. Angelini, David Barney, M. Adinolfi, C. Roda, S. Cohen, Andrea Quadri and P. A. Scott. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Instrumentation and Universe.
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.