Who Cited It

Jordan Boyd‐Graber

high confidence · 1 work(s) in this corpus · 9,216 citations across 225 works in OpenAlex · ORCID 0000-0002-7770-4431

Jordan Boyd‐GraberJordan Boyd‐GraberJonathan Chang — 1 shared work(s)Jonathan ChangDavid M. Blei — 1 shared work(s)David M. BleiSean Gerrish — 1 shared work(s)Sean GerrishChong Wang — 1 shared work(s)Chong Wang
4 of 4 collaborators, ranked by collaboration weight rather than by shared-paper count. Dashed lines are collaborations between the collaborators. See how the weight is computed.
  1. Jonathan Chang
  2. David M. Blei
  3. Sean Gerrish
  4. Chong Wang
Jordan Boyd‐Graber collaborator line weight = collaboration weight

Works in this corpus

TitlePositionYearCited
Reading Tea Leaves: How Humans Interpret Topic Modelsmiddle20091,882

Is this one person?

This record carries a person-claimed ORCID and no signal that it mixes two people.

  • supportsAn ORCID is claimed by a person, not inferred, so it is the only identity assertion here that a human made.
  • supports1 distinct name form(s) across this row's works, counting a spelled-out given name and its initial as one form.
  • supportsAt most 1 distinct institution(s) inside any five-year window, which is a normal career.
  • supports100% of this row's works sit in its single largest field.
  • neutralConfidence is judged on the 1 work(s) this corpus holds, not on the author's whole output. A single-work row carries little evidence either way.

Affiliations

University of Maryland, College Park (2009–2009)

In this corpus

h-index 1 over the works held here, which is a number about this corpus and not about a career.

OpenAlex record