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M. Rinaldi

59 papers hereh-index 212.2k citations110 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author7
  • first author28
  • middle author18
  • last author4

Across the 57 of 59 papers where every author was matched, so the position is known.

fields
  • hep-ph36
  • nucl-th17
  • math.AP3
  • cond-mat.mtrl-sci1
  • nucl-ex1
  • physics.ins-det1
same name
  • M. Rinaldi — 64 papers, h 28
  • M. Rinaldi — 8 papers, h 14
  • M. Rinaldi — 5 papers, h 26
  • M. Rinaldi — 3 papers, h 3
  • M. Rinaldi — 2 papers, h 2
  • M. Rinaldi — 1 paper, h 39

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122023
most citedScience Requirements and Detector Concepts for the Electron-Ion Collider: EIC Yellow Report

159 citations · 868 across the 53 of their papers we have counts for

collaborators
Showing 2014 · hep-phShow all

3 papers · 2 filters

hep-ph2014

Double parton correlations in Light-Front constituent quark model

Matteo Rinaldi, Sergio Scopetta, Marco Traini +1

Double parton distribution functions (dPDF) represent a tool to explore the 3D proton structure. They can be measured in high energy proton-proton and proton nucleus collisions and…

hep-ph2014★ 2 cited

Double parton distributions in Light-Front constituent quark models

Matteo Rinaldi, Sergio Scopetta, Marco Traini +1

Double parton distribution functions (dPDF), accessible in high energy proton-proton and proton nucleus collisions, encode information on how partons inside a proton are correlated…

hep-ph2014★ 50 cited

Double parton correlations and constituent quark models: a Light Front approach to the valence sector

Matteo Rinaldi, Sergio Scopetta, Marco Traini +1

An explicit evaluation of the double parton distribution functions (dPDFs), within a relativistic Light-Front approach to constituent quark models, is presented. dPDFs encode infor…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.