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Connected Papers

Main Purpose

This website allows its users to explore papers connected to the one given with its identifier in a visual graphs.


Four academics started the project as a weekend side project between friends. When they saw how much this tool improved their own literature search workflows and got requests from their colleges they made it public.


  • Supports many popular websites used in academia such as arXiv, Semantic Scholar and PubMed.
  • Arranges papers in the graphs according to their similarity using Co-citation and Bibliographic Coupling. This allows users to see the connections between papers that doesn't directly cite each other.
  • In the constructed graph, website highlights the shortest path from each node to the origin paper in similarity space.
  • Eases the creation of bibliography for theses
  • Eases the discovery the most relevant prior and derivative works


They offer 3 packages:


  • 5 Graphs per month
  • Connected Papers similarity graphs
  • Prior and derivative works
  • Multi-origin graphs
  • Saved papers
  • Graph history

Academic ($3-5/month)

  • Unlimited Graphs
  • For academics, non-profits and personal use only
  • Everything else in free package

Business ($10-15/month)

  • Everything in Academic package
  • For business and industry

Detailed information can be found here.

They also have sponsors backing their project.

Ratings and Multi-Platform Support

They only have a website and don't have a mobile application.

They also don't have measurable ratings. They do have a twitter page with a lot of good feedback.


Main Purpose

Help researchers identify and analyze emerging trends and patterns within a particular field of research. The idea behind CiteSpace is that traditional citation analysis methods are limited in their ability to identify important topics and connections within a field, and that new methods are needed to help researchers navigate the rapidly expanding landscape of academic literature.


CiteSpace was created by Dr. Chaomei Chen, a professor at Drexel University for visualizing and analyzing structural and temporal patterns in scientific literature.


  • Import data from various sources, such as Web of Science and Scopus.
  • Visualize citation networks and co-citation networks in a variety of ways, including time slice maps and cluster maps.
  • Analyze co-citation networks to identify important documents, authors, and journals.
  • Generate keyword co-occurrence maps and analyze trends in keyword usage over time.


They offer 3 packages:


  • CiteSpace: Basic version

Standard ($45)

  • CiteSpace: Advanced version
  • eBook: How to Use CiteSpace
  • Valid on 1 computer for 1 year

Advanced ($75)

  • CiteSpace: Advanced version
  • eBook: How to Use CiteSpace
  • Valid on 2 computers for 3 years

Products can be found here.

Ratings and Multi-Platform Support

CiteSpace offers both a desktop application and a web-based version. However, the web-based version does not offer all of the features available in the desktop application.

Although there are only a few reviews on SourceForge, CiteSpace has been downloaded around 9k times this week on SourceForge.