What Is Research Rabbit and How to Use It for Research

Oct 13

TL;DR: Research Rabbit is a literature discovery tool that finds research papers by following how papers cite each other. You give it one to three papers you like, and it maps the older work they built on, the newer work that built on them, and the authors behind both. Its free plan covers a typical high school project. Once your reading points you to a question nobody has answered yet, you might want help turning it into a project of your own. Veritas AI's AI Fellowship with Publication & Showcase pairs you with a mentor for 15 one-on-one sessions to build that project, plus 2 sessions with a publication expert to prepare it for a journal or showcase.

If you are a high schooler starting your first research project, you've probably had this moment. You find one paper that fits your question perfectly. Then you open its reference list and see dozens of titles, with no idea which ones matter. Research Rabbit takes the papers you already like and shows you how they connect to the rest of the research. That way, you can follow the trail that matters instead of guessing.

The name fits, since its homepage invites you to dive down the rabbit hole of discovery. Say you're curious whether AI can spot fake news. One good study on that question can lead you, in a few clicks, to the papers it built on and the newer studies that tested its ideas.

What is Research Rabbit?

Research Rabbit is an online tool that helps you find research papers, see how they connect, and keep them organized. It covers more than 310 million academic papers. According to the Research Rabbit homepage, over 1 million researchers use it, including people at Harvard, Stanford, and Cornell.

Most search tools hand you a long list of results to scroll through. Research Rabbit feels more like a map that grows as you explore. You start from a few papers you already trust, and every paper you add shows it more of what you want. That makes it handy when you know your topic but not yet who is studying it.

How does Research Rabbit work?

Research Rabbit finds papers by following the citation network, the web of links that forms whenever one paper cites another. Every study lists the older work it built on in its references. Newer studies then cite it in turn. Research Rabbit follows both directions, and it also looks at papers that often get cited together and at authors who write together.

Next, it ranks what it finds by influence. As its guide to how the tool works explains, influence comes from both how many papers cite a study and how strong those citing papers are. Picture your fake news question again. If three of your starting papers all cite the same older study, that study probably shaped the field, so it rises to the top. Each time you add a paper, the network grows and the next round of suggestions gets sharper.

Is Research Rabbit free?

Yes, Research Rabbit has a free plan, and it covers what a typical high school project needs. The paid plan, ResearchRabbit+, mainly raises how many seed papers you can use, which are the starting papers you search from. Here's how the two plans compare, based on the Research Rabbit pricing page.

Feature	Free	ResearchRabbit+
Price	$0	$10 a month paid yearly, or $12.50 paid monthly
Seed papers	Up to 50	Up to 300
Searches	Unlimited, across 310+ million papers	Unlimited, across 310+ million papers
Library and collections	Unlimited	Unlimited
Search settings	Core settings	Advanced search controls
Multiple projects	Not included	Included

For a single research question, the free plan is all you need. If you do upgrade later, Research Rabbit offers lower prices in more than 100 countries.

How to use Research Rabbit for research: 6 steps

Using Research Rabbit for a project takes six steps, from your first search to an organized reading list. These follow Research Rabbit's own getting started guide, using the fake news question as the example.

Turn your interest into one clear question. "AI and fake news" is a topic, while "Can a machine learning model spot fake news headlines?" is a question you can search. A narrow question brings back papers that actually fit. If you're still choosing one, these AI research ideas can give you a starting point.
Sign up and run your first search. Create a free account on the Research Rabbit app, then type your keywords into the search bar, like "fake news detection machine learning." If you already know a paper you like, you can search its title instead.
Pick one to three seed papers. Skim the titles, dates, and citation counts in your results. Choose the papers closest to your question, and try to include at least one that is recent and well cited. Then click "Next" to build your map.
Read the map. Each dot is a paper, and each line is a citation link between two papers. Papers run from older on the left to newer on the right, and more-cited papers sit higher up. That layout helps you spot the classic studies everyone builds on, the newest work, and the clusters that form around smaller subtopics. The same papers also appear in a list with their authors, journal, date, and abstract.
Keep adding papers and search again. Every paper you save lands in a "Recently Found" area, and you can add the best ones to your search to expand the map. As you read, you'll notice that many AI papers describe models built and trained in Python. If those methods are new to you, Veritas AI's AI Scholars teaches Python and AI from scratch in live classes with a 5:1 student-to-mentor ratio, and no coding experience is needed. You also build a real AI project with a small group of peers, so the papers you're reading start to make a lot more sense.
Organize what you found and export it. Move your keepers from "Recently Found" into a collection, and use labels and colors to sort them by subtopic. Each paper has a notes space where you can jot down why it matters. When you're ready to write, you can export your saved papers as citations and use them in your AI research paper.

If you've never read a research paper, you're starting from a completely normal place. A great first move is choosing one seed paper this week and noticing which suggested title makes you most curious.

4 Research Rabbit tips for better results

Once you know the basics, a few small habits make your searches faster and your reading list stronger.

Use a review paper as a seed. A review paper sums up a whole topic and cites its most important studies. Starting from one fills your map with the key papers right away, so try adding "review" to your keywords when you search.
Follow the authors, not just the papers. Click an author's name under any paper title, and Research Rabbit opens a map of everything that person has published, as its author guide shows. Researchers often publish a series of studies that build on each other, so one strong author can lead you to several good papers.
Decide when to stop before you start. The rabbit hole is real, and it can swallow a whole afternoon. A good sign you're done is when most new suggestions are papers you've already seen.
Share your collection with someone who can check it. The free plan lets you share a collection with others. A teacher or project partner can spot a missing angle or a paper that doesn't quite fit your question.

What are the limitations of Research Rabbit?

Research Rabbit is a strong discovery tool, but it has a few gaps worth knowing before you lean on it. Each gap has a simple fix you can use right away.

Some papers are missing or undercounted. Research Rabbit's database page notes that some articles aren't in its database, and some show fewer citations than they really have. If a paper your teacher mentioned never appears, look it up on Google Scholar and add it to your notes by hand.
Brand-new papers can rank low. Rankings lean on citations, and a paper from last month hasn't had time to collect many. Scan the right edge of your map, where the newest papers sit, instead of only the top.
It doesn't summarize papers for you. Reading the abstract and the conclusion is usually enough to decide whether a paper belongs in your project.
The free plan has caps. A big, multi-topic project can outgrow the seed paper limit, and separate projects need the paid plan. If you're working on two questions at once, giving each its own clearly named collection keeps them apart.
It doesn't check whether a paper was peer-reviewed. Peer review means other experts checked a study before a journal published it. Some papers in large research databases are preprints, shared before that check. Look at the journal name in the paper list, and if you only see a preprint site like arXiv, search for a published version.

Research Rabbit vs Google Scholar and Litmaps

Google Scholar is best for finding one specific paper fast, while Research Rabbit and Litmaps help you see how a whole topic connects. Litmaps works much like Research Rabbit, and the two are partners. Research Rabbit's October 2025 update came out of that partnership.

Feature	Research Rabbit	Google Scholar	Litmaps
How you start	Keywords, a paper title, or seed papers	Keywords or a paper title	Seed papers
What you see	A map of connected papers plus a list	A list of results with "Cited by" and "Related articles" links	A map of connected papers
Free plan	Up to 50 seed papers, unlimited searches	Free to use	Up to 20 inputs and 100 articles per map
Paid plan	$10 a month paid yearly, or $12.50 monthly	None	$10 a month
Best for	Building a reading list from a few strong papers	Finding a known paper and seeing who cited it	Mapping a topic and getting alerts on new papers

These tools also work well together. You can find your first good paper on Google Scholar, then bring it into Research Rabbit as a seed. If you're also weighing Connected Papers, another visual mapping tool, our side-by-side breakdown walks through how it stacks up.

FAQs

1. Is Research Rabbit good for high school students?

Yes, Research Rabbit is a great fit for high school researchers. You don't need any coding experience, and its database spans many fields, from biology to psychology. It's especially useful for a science fair project, an independent study, or a first research paper, where finding the right sources is half the work.

2. Is Research Rabbit an AI tool?

Research Rabbit describes itself as an AI tool, but it works differently from chatbots like ChatGPT. Its page on how it uses AI explains that large language models don't power its core recommendations. Instead, it uses network-based algorithms that study citation and author links. Every suggestion traces back to real links between real papers, so it won't invent a source the way a chatbot sometimes can.

3. Is there a Research Rabbit app?

Research Rabbit runs as a web app, so you use it right in your browser at app.researchrabbit.ai. There's nothing to install, and your collections are there whenever you log in. Its citation maps are easiest to read on a laptop or desktop, where you have room to see how papers connect.

4. Can you read full papers on Research Rabbit?

Sometimes. Research Rabbit helps you find papers, and it links you to the full text when a free copy exists. When a paper sits behind a paywall, your school or public library can often get you a copy. You can also search the paper's title on Google Scholar, which sometimes links a free version from a university or author page.

5. How do you find a research gap in a literature review?

A research gap is a question that existing studies haven't answered yet. In Research Rabbit, you can spot one by looking for a small cluster with few recent papers or by reading the limitations section of the newest studies on your map. For example, you might notice that most fake news detectors in your collection were tested only on English headlines. That missing piece can become your own research question.

Turning a gap into a project you can actually test is where expert guidance helps most. If you already know some Python and want to aim high, Veritas AI's AI Accelerator pairs you with a mentor for 30 one-on-one sessions to build an independent research paper. You also get 4 sessions with a publication expert, so a college-level journal or national competition becomes a real possibility.

Where to learn more about Research Rabbit

Research Rabbit's own help pages are the best place to keep exploring.

Research Rabbit Guides: Short articles on searching, exploring authors, and organizing collections.
Research Rabbit Tutorials: Video walkthroughs of the newest version of the tool.
Using Research Rabbit alongside library databases: How to pair it with your library to get full papers.
Research Rabbit pricing: The latest details on the free plan and ResearchRabbit+.

Tyler Moulton

Tyler Moulton is Head of Academics and Veritas AI Partnerships with 6 years of experience in education consulting, teaching, and astronomy research at Harvard and the University of Cambridge, where they developed a passion for machine learning and artificial intelligence. Tyler is passionate about connecting high-achieving students to advanced AI techniques and helping them build independent, real-world projects in the field of AI!