How to find relevant research papers?

Finding relevant papers to improve your research is not always an easy task. Starting using Connected Papers was one of my best decisions. Lately, though, I have heard about ResearchRabbit, which goes a step further.

By creating collections in which you add the most relevant papers on your research, a field of interest, or even something else you want to be up to date on, you allow ResearchRabbit to learn what are the most likely useful papers to recommend to you.

ResearchRabbit then uses artificial intelligence to recommend you the most relevant papers on your research (based on your collection).

It allows you to collaborate and share your collections with your groups. And, most interesting, it is free to use.

Here I will create a collection to show you how it looks, and to show you the most interesting features they have.

  1. Creating your ResearchRabbit

When you just sign up on the website, you will see something like this:

  1. Creating your collection

Once you signed up on the website, you are allowed to create your collection(s).

The only thing you need to do here is to click on “New Collection” and name it.

  • Here I created a “Jasmonic Acid” collection, which I will use to show you how it works.

Then, your collection will be on the left menu.

  1. Adding papers into your collection

The next step is adding papers to your collection, which is pretty simple.

Once you click on your collection, you will be able to either “add papers” or “abb by search”.

If you already have papers in mind for your research, I recommend adding them directly by the “add papers” option, which will allow you to add papers by using the paper’s DOI. This will allow you to add these papers without searching for them in the “add by search” option.

In the “Add papers” option you will be allowed to either add the papers you want by using the whole title or the DOI. Along with it, you can also import these references from citation managers such as Zotero and Mendeley.

To show you how ResearchRabbits work, I’ll start a collection from zero and without any papers in mind. Thus, I’ll “add by search”.

First, then, I searched for papers that contain “Jasmonic Acid” within the title. As you can see in the image below, I can also search for specific keywords, which indeed will find even more papers. However, as I’m creating this collection from the beginning, I decided to “filter” my research.

The next step is just to search for the most relevant papers on the research you are doing and dragging them into your collection.

Once you added your first collections’ paper, you will be able to see “similar work”, which are other papers related to it.

From the first paper you add, ResearchRabbit shows you similar works. As in this case, I’m looking for papers on “Jasmonic Acid”, it would be interesting to take a look into papers similar to the papers I already added to my collection (as they talk about “Jasmonic Acid”).

It also gives you information on the authors, which I found a very useful tool. Identifying research groups in a new field of interest is not always an easy task, and it may help you to do so.

  1. Feeding the collection

After feeding your collection with many papers, ResearchRabbit will give you some information about similar works and also about earlier and later works.

On the network, green circles are papers you already have in your collection. Blue ones are recommended papers, which are connected to the papers you added to your collection.

  1. Receiving recommendations

Based on your collections ResearchRabbit will email you with newly published papers.

  1. Other features

  • Add notes to the papers you saved on your collection.
  • Share your collections with your research group.
  • Find connected authors
  • Get information (including papers) on authors.

ResearchRabbit is easy to use, and I strongly recommend you to take a look into it. However, if you found it interesting and want to learn more before taking a look into it, I recommend you to watch the following video:

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