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researcher

F. Matteucci

10 papers hereh-index 5542 citations12 works total

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

author position
  • first author1
  • middle author6
  • last author3

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • astro-ph.GA9
  • astro-ph.SR1
same name
  • F. Matteucci — 216 papers, h 59
  • F. Matteucci — 62 papers, h 28
  • F. Matteucci — 16 papers, h 3
  • F. Matteucci — 5 papers
  • F. Matteucci — 5 papers, h 5
  • F. Matteucci — 2 papers, h 2

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
20102026
most citedQuantifying the uncertainties of chemical evolution studies. II. Stellar yields

409 citations · 681 across the 10 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

astro-ph.GA2024★ 20 cited

High N/O ratio at high redshift as a result of a strong burst of star formation and differential galactic winds

F. Rizzuti, F. Matteucci, P. Molaro +2

Recent observations by JWST have revealed supersolar 14N abundances in galaxies at very high redshift. On the other hand, these galaxies show subsolar metallicity. The observe…

astro-ph.SR2024

A Census of Sun's Ancestors and their Contributions to the Solar System Chemical Composition

F. Fiore, F. Matteucci, E. Spitoni +4

In this work we compute the rates and numbers of different types of stars and phenomena (supernovae, novae, white dwarfs, merging neutron stars, black holes) that contributed to th…

astro-ph.GA2024

NGC1856: Using machine learning techniques to uncover detailed stellar abundances from MUSE data

Randa Asa'd, S. Hernandez, Johina M. John +5

We present the first application of the novel approach based on data-driven machine learning methods applied to Multi-Unit Spectroscopic Explorer (MUSE) field data to derive stella…

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