If you liked Big data is not a monolith by Cassidy R. Sugimoto and Michael Mattioli, start with Equity for Women in Science (2023), Measuring Research (2018), and Scholarly metrics under the microscope (2015). These recommendations are drawn from the same author, shared genres, and reader overlap on BookOrb.

Back to Big data is not a monolith · Cassidy R. Sugimoto books in order

Recommended next reads

  1. 1 Equity for Women in Science 2023 · 256 pages · Cassidy R. Sugimoto, Vincent Larivière · Same author
  2. 2 Measuring Research 2018 · 160 pages · Cassidy R. Sugimoto, Vincent Larivière · Same author
  3. 3 Scholarly metrics under the microscope 2015 · 963 pages · Blaise Cronin, Cassidy R. Sugimoto · Same author
  4. 4 Beyond Bibliometrics 2014 · 480 pages · Blaise Cronin, Cassidy R. Sugimoto · Same author
  5. 5 Measuring research : what everyone needs to know 2018 · Cassidy R. Sugimoto, Vincent Larivière · Same author

Frequently asked questions

What should I read after Big data is not a monolith?

BookOrb recommends Equity for Women in Science (2023), Measuring Research (2018), Scholarly metrics under the microscope (2015), Beyond Bibliometrics (2014), and Measuring research : what everyone needs to know (2018).

Are there books like Big data is not a monolith?

Yes. The list on this page is ranked from the closest matches BookOrb has for Big data is not a monolith.

Who wrote Big data is not a monolith?

Big data is not a monolith is by Cassidy R. Sugimoto and Michael Mattioli.