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researcher

J. Dietrich

176 papers hereh-index 6424.9k citations239 works total

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

author position
  • sole author2
  • first author3
  • middle author113
  • last author2

Across the 120 of 176 papers where every author was matched, so the position is known.

fields
  • astro-ph.CO133
  • astro-ph12
  • astro-ph.GA12
  • astro-ph.HE10
  • astro-ph.IM7
  • astro-ph.EP2
same name
  • J. Dietrich — 216 papers
  • J. Dietrich — 24 papers, h 17
  • J. Dietrich — 17 papers, h 11
  • J. Dietrich — 8 papers, h 68
  • J. Dietrich — 7 papers, h 16
  • J. Dietrich — 3 papers, h 10

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
20042025
most citedThe Astropy Project: Building an inclusive, open-science project and status of the v2.0 core package

7.7k citations · 27.1k across the 173 of their papers we have counts for

collaborators
Showing 2015 · astro-ph.GAShow all

3 papers · 2 filters

astro-ph.GA2015★ 60 cited

Digging deeper into the Southern skies: a compact Milky-Way companion discovered in first-year Dark Energy Survey data

E. Luque, A. Queiroz, B. Santiago +61

The Dark Energy Survey (DES) is a 5000 sq. degree survey in the southern hemisphere, which is rapidly reducing the existing north-south asymmetry in the census of MW satellites and…

astro-ph.GA2015★ 534 cited

Eight Ultra-faint Galaxy Candidates Discovered in Year Two of the Dark Energy Survey

The DES Collaboration, A. Drlica-Wagner, K. Bechtol +74

We report the discovery of eight new ultra-faint dwarf galaxy candidates in the second year of optical imaging data from the Dark Energy Survey (DES). Six of these candidates are d…

astro-ph.GA2015★ 97 cited

No galaxy left behind: accurate measurements with the faintest objects in the Dark Energy Survey

E. Suchyta, E. M. Huff, J. Aleksić +72

Accurate statistical measurement with large imaging surveys has traditionally required throwing away a sizable fraction of the data. This is because most measurements have have rel…

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