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researcher

I. J. Daubar

2 papers here

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

author position
  • middle author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • astro-ph.EP1
  • cs.LG1
ORCID 0000-0001-9790-2972

identity via Semantic Scholar / OpenAlex

most citedUsing Machine Learning to Reduce Observational Biases When Detecting New Impacts on Mars

15 citations · 20 across the 2 of their papers we have counts for

collaborators

2 papers

astro-ph.EP2023★ 5 cited

Diversity of new Martian crater clusters informs meteoroid atmospheric interactions

T. Neidhart, E. K. Sansom, K. Miljković +3

We investigated 634 crater clusters on Mars detected between 2007 and 2021, which represent more than half of all impacts discovered in this period. Crater clusters form when meteo…

cs.LG2022★ 15 cited

Using Machine Learning to Reduce Observational Biases When Detecting New Impacts on Mars

Kiri L. Wagstaff, Ingrid J. Daubar, Gary Doran +5

The current inventory of recent (fresh) impacts on Mars shows a strong bias towards areas of low thermal inertia. These areas are generally visually bright, and impacts create dark…

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