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Keenious vs Litmaps

Both stand on research paper discovery tools. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Keenious

Free plan ExtensionWeb

Choose Keenious if you need help discovering academic research and interpreting difficult passages in papers. Its search focuses on titles and abstracts, so people who need full-text publication search should look elsewhere.

Visit Keenious

Litmaps

Free plan Web

Litmaps combines paper discovery with citation mapping, monitoring, and sharing. The free plan has defined limits, while Pro Education expands search and usage and Team adds collaboration.

Visit Litmaps

The facts

KeeniousLitmaps
Free planYesYes
Open sourceNot publishedNot published
Runs onExtension, WebWeb
Lowest paid planPlus for Individuals: $10 a monthSee the plans
Plans published55
MakerNot publishedNot published
Websitekeenious.comlitmaps.com
On research paper discovery tools#9 of 33#13 of 33

Keenious: what it does well

  • Searches a collection of more than 250 million academic works.
  • Explains methods, statistical concepts, and specialist terminology from highlighted text.
  • Supports interaction in nearly 100 languages.
  • Integrates with Microsoft Word and Google Docs through add-ins.
  • Institutional link resolver support includes EBSCO and PRIMO.

What to know first

  • Search matches titles and abstracts, not publication full text.
  • The free plan allows three conversations per day.
  • Free plan uploads are limited to 3 MB.

Litmaps: what it does well

  • Catalogue contains more than 270 million papers.
  • Maps show citation and reference connections.
  • Topic monitoring sends automatic email alerts.
  • Imports and exports support several reference formats.
  • Pro syncs Zotero collections and Litmaps Tags both ways.

What to know first

  • Free plan limits use to 20 inputs and 100 articles.
  • Free plan includes only one Litmap.
  • Free plan has no collaboration.
  • Non-Open Access PDFs require institutional access through LibKey.

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