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Daniella C. Bardalez Gagliuffi

43 papers hereh-index 14579 citations32 works total

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

author position
  • first author7
  • middle author22
  • last author6

Across the 35 of 43 papers where every author was matched, so the position is known.

fields
  • astro-ph.SR34
  • astro-ph.EP8
  • astro-ph.GA1
same name
  • Daniella C. Bardalez Gagliuffi — 13 papers
  • Daniella C. Bardalez Gagliuffi — 2 papers

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
20122026
most citedSpeX Spectroscopy of Unresolved Very Low Mass Binaries. II. Identification of Fourteen Candidate Binaries with Late-M/Early-L and T Dwarf Components

136 citations · 998 across the 39 of their papers we have counts for

collaborators
Showing 2014 · astro-ph.SRShow all

3 papers · 2 filters

astro-ph.SR2014★ 53 cited

WISE J072003.20-084651.2: An Old and Active M9.5 + T5 Spectral Binary 6 pc from the Sun

Adam J. Burgasser, Michael Gillon, Carl Melis +8

[Abridged] We report observations of the recently discovered, nearby late-M dwarf WISE J072003.20-084651.2. Astrometric measurements obtained with TRAPPIST improve the distance mea…

astro-ph.SR2014★ 136 cited

SpeX Spectroscopy of Unresolved Very Low Mass Binaries. II. Identification of Fourteen Candidate Binaries with Late-M/Early-L and T Dwarf Components

Daniella C. Bardalez Gagliuffi, Adam J. Burgasser, Christopher R. Gelino +7

Multiplicity is a key statistic for understanding the formation of very low mass (VLM) stars and brown dwarfs. Currently, the separation distribution of VLM binaries remains poorly…

astro-ph.SR2014★ 1 cited

Bridging the gap on tight separation brown dwarf binaries

Daniella C. Bardalez Gagliuffi, Adam J. Burgasser, Christopher R. Gelino +2

Multiplicity is a key statistic for understanding the formation of very low mass (VLM) stars and brown dwarfs. Currently, the separation distribution of VLM binaries remains poorly…

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