Home › Researcher directory › Blake Heller
Blake Heller
Affiliation : University of Houston
- 2Publications (affiliation in the United States)
- 46Total publications
- 198Citations
- 7h-index
Research profile
Blake Heller has 2 indexed publications (2022–2023). Their work appears mainly in “Scientific Data” and “Affective Science”. Their most cited article, “In COVID-19 Health Messaging, Loss Framing Increases Anxiety with Little-to-No Concomitant Benefits: Experimental Evidence from 84 Countries” (2022), has been cited 50 times. Their work is co-authored with at least 12 researchers, including institutions in Poland.
Is this you? Get your research seen
Create your free DzCademia profile and add your articles: they will show up more easily on Google and in AI assistants like ChatGPT, so more people can read and cite your work.
Create my free profile Add my publicationsResearch areas
- School Choice and Performance
- Politics, Economics, and Education Policy
- Higher Education Research Studies
- Experimental Behavioral Economics Studies
- Education Systems and Policy
Publications (2)
- The Psychological Science Accelerator’s COVID-19 rapid-response dataset
- In COVID-19 Health Messaging, Loss Framing Increases Anxiety with Little-to-No Concomitant Benefits: Experimental Evidence from 84 Countries
Publication venues
- Scientific Data × 1
- Affective Science × 1
Publications per year
- 20231
- 20221
Collaborations
Partner institutions : Harvard University · Indiana University of Pennsylvania · Ashland University · University of Minnesota · University of Mississippi
Co-authors’ countries : Poland
Co-authors
- Charles Adam Dorison
- Vaughan W. Rees
- Savannah C Lewis
- Nancy Gibbs
- Christopher R. Chartier
- Elvin Yao
- Charles R. Ebersole
- John Paul Wilson
- Jeffrey Michael Pavlacic
- Erin Corwin Westgate
- Peter Robert Mallik
- Julie E. Beshears
Bibliographic data from OpenAlex (open database).
Why choose Dzcademia?
Profiles, articles and conference contributions: give your research a structured public presence. Integrated metadata help search engines and AI assistants identify your work and understand its references.
Comment with Google
Sign in with Google to comment directly on this page.