ResearchRabbit: Literature discovery engine
Definition
ResearchRabbit is a literature discovery engine that helps to find relevant academic papers. It uses algorithms to suggest relevant academic papers based on user-selected papers.
When we enter a couple of articles to ResearchRabbit, it analyzes their citation patterns, recommend related research based on our interests, and provide a literature network diagram.
Website
Sign up
Use school email address
Complete all fields
Paste the DOI
As soon as we click "Submit" above, we will see the following dialog box. Paste the DOI of the top choice annual review article(s) and click “Add Directly”
Create the collection and share it
Click the three dots next to “Untitled Collection.”
Click “Rename” and Type the main topic.
Type my email address, ttezcan@csumb.edu, under “EMAIL” and click “Invite”
Add articles (DOI) found through citation chaining (a)
We will add the three articles we found through citation chaining one by one.
First, click “Add Papers”
Paste the DOI (the most preferable way) of the top choice annual review article and click “Add Directly”
If we paste the title of the articles instead, it will take a bit longer (See the next section).
Add articles (TITLE) found through citation chaining (b)
We will add the three articles we found through citation chaining one by one.
First, click “Add Papers”
Paste the title of the article and click “Search.”
Choose “All Subject Areas.”
Finally, click “Add to Collection.”
The view from added articles
We click "Similar Work" to see the literature network.
The literature network
As soon as we click "Similar Work" above, we will see the literature network.
Green articles: Our annual review article and three articles we found through citation chaining.
Blue articles: Relevant articles that ResearchRabbit suggests.
All the relevant articles are on the left side and also on the diagram.
Click the blue circles (the ones closer to the green ones). They are the most relevant ones.
Find and download the peer-reviewed journal articles indicated by blue circles.
We should only use peer-reviewed journal articles.
Even more relevant literature network
We will add the blue circle articles to our collection to make our literature network analysis even stronger.
Our collection includes
One Annual Review article (Green circle), and
Three articles found using citation chaining (Green circle),
Every time we click on a blue circle article, we add them to our collection. We click on Esses (1998) and "Add to: our collection name."
Every time we add a new article to our literature network, we go back and click “Similar Work” again. We will repeat this process 10 times, until we see 14 Green circles:
1 annual review article
3 articles found through citation chaining
10 articles that ResearchRabbit suggested and we added to our collection
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