Research Analytics is a web application offering highly visual and interactive research dashboards. The app is developed in Python using Plotly Dash.

🔬 What is it for?

The app allows you to search for a research topic, just like you would do on your favourite academic search engine, and retrieve key visual insights about the topic including plots, charts, and network graphs.

🧑‍🔬 Who is it for?

The app aims to help anyone doing academic research from university staff, professors, and students to industry researchers.

🛠️ How does it work?

The app is written in Python using the amazing Plotly Dash framework. The full code is available on the project’s GitHub page. All the results are retrieved from Semantic Scholar.

💻 How to use it?

The app can either be run locally by installing the project’s package, or can be run on Heroku’s server through this link. Simply type in your research query in the search bar at the top of the screen and hit enter. Then navigate through the different tabs to visualize the results.

• In the Search Results tab you’ll get insights on the results directly associated with your research query.
• In the Reference Landscape tab you’ll get insights on the references cited by the direct results from Search Results.
• In the Networks tab you’ll get insights on how authors and papers are connected to each other.

All graphs are interactive so go ahead and play with them!

👁️ App preview

Welcome page

Dashboard