L. Lista

132.4k citations
19 papers · 87 indexed · h-index 7

Impact in

Papers in

L. Lista

17 papers receiving 85 citations

Peers

L. Lista
Comparison fields: 5 of 45
  • Nuclear and High Energy Physics 46
  • Modeling and Simulation 10
  • Radiation 14
  • Information Systems and Management 9
  • Computer Networks and Communications 20
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R. Mount Switzerland
G. Simonetti Switzerland
M. Lamanna Switzerland
F. Legger Germany
K. Cho South Korea
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L. Lista relative to R. Mount Switzerland R. Mount's profile →
Citations per field
00.5×3.3×
R. Mount · 1×
Citations per year

Countries citing papers authored by L. Lista

Since Specialization
Citations

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

Fields of papers citing papers by L. Lista

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202111
2 200811
3 20109
4 19948
5 20157
6 20147
7 20176
8 20005
9 19965
10 19954
11 20104
12 20233
13 20212
14 20032
15 20141
16 20141
17 20031
18 20050
19 20010

About L. Lista

L. Lista is a scholar working on Nuclear and High Energy Physics, Modeling and Simulation, Statistics, Probability and Uncertainty, Statistics and Probability and Computer Networks and Communications, having authored 19 papers that have together received 87 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (10 papers), Particle Detector Development and Performance (7 papers), Muon and positron interactions and applications (3 papers), Advanced Data Storage Technologies (3 papers), High-Energy Particle Collisions Research (3 papers), Distributed and Parallel Computing Systems (2 papers), COVID-19 Pandemic Impacts (2 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (46 citations), Modeling and Simulation (10 citations), Radiation (14 citations), Information Systems and Management (9 citations) and Computer Networks and Communications (20 citations). L. Lista has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Vincenzo Innocente, Christopher Jones, Benedikt Hegner, F. Fabozzi, Gianluca Bonifazi, A. Zoccoli, G. Petrucciani, Д. Педрини, M. Mezzetto and R. Spighi. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Lecture notes in physics, IEEE Transactions on Nuclear Science, The European Physical Journal Plus and Journal of Physics Conference 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.

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