L. Moneta

26.8k citations
43 papers · 215 indexed · h-index 8

Impact in

    • Particle physics theoretical and experimental studies
    • Particle Detector Development and Performance
    • High-Energy Particle Collisions Research
    • Quantum Chromodynamics and Particle Interactions
    • Dark Matter and Cosmic Phenomena

Papers in

L. Moneta

35 papers receiving 208 citations

Peers

L. Moneta
Comparison fields: 5 of 37
  • Nuclear and High Energy Physics 152
  • Radiation 29
  • Hardware and Architecture 16
  • Computer Networks and Communications 37
  • Artificial Intelligence 33
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D. Lucchesi Italy
S.‐C. Hsu United States
S. Galeotti Italy
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Citations per field
00.5×10×16×
C. Adams · 1×
Citations per year

Countries citing papers authored by L. Moneta

Since Specialization
Citations

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

Fields of papers citing papers by L. Moneta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside L. Moneta, 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 L. Moneta Line = papers co-authored together L. Moneta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20230
3 20232
4 20211
5 20202
6 20201
7 20190
8 20191
9 20181
10 20172
11 20160
12 201512
13 20151
14 20140
15 201225
16 20055
17 200533
18 20022
19 19911
20 199123

About L. Moneta

L. Moneta is a scholar working on Nuclear and High Energy Physics, Hardware and Architecture, Computer Networks and Communications, Radiation and Artificial Intelligence, having authored 43 papers that have together received 215 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (23 papers), Particle Detector Development and Performance (14 papers), Distributed and Parallel Computing Systems (14 papers), Advanced Data Storage Technologies (13 papers), Computational Physics and Python Applications (10 papers), High-Energy Particle Collisions Research (6 papers), Parallel Computing and Optimization Techniques (6 papers) and Radiation Detection and Scintillator Technologies (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (152 citations), Radiation (29 citations), Hardware and Architecture (16 citations), Computer Networks and Communications (37 citations) and Artificial Intelligence (33 citations). L. Moneta has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include K. Cranmer, W. Verkerke, G. Schott, P. Mató, M. Winkler, A. Zsenei, F. James, G. H. Lewis, E. Focardi and G. Batignani. 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, European Financial Management, Journal of Futures Markets and SHILAP Revista de lepidopterología.

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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