Blog

Claude Code with the Scite MCP changes the math on dissertation research pretty significantly. You get an AI assistant in your terminal that can actually search scientific literature and tell you not just what's been published but how it's been cited since.

Starting in 1977, Eugene Garfield's Citation Classics series at ISI invited the authors of highly cited papers to write short commentaries on their own work. Over 15 years, more than 4,000 scientists told the stories behind their most influential publications: the failed experiments, the lucky breaks, the collaborators who made the difference. It was one of the most human things ever done with citation data.

Admin Analytics gives administrators at universities, enterprises, and research institutions full visibility into how their researchers are using the Scite MCP inside their AI tools — what content is being accessed, how it's being used, and who's using it. And it connects that usage data directly to your collections infrastructure so you can act on it.

February was about making Scite more powerful, more connected, and easier to use. We expanded how you can access Scite's citation intelligence, removed barriers to deeper research, and made significant improvements across Assistant, Search, and Dashboards.

Most AI tools have a fundamental problem: they aren't grounded in real evidence. That's the problem Model Context Protocol (MCP) solves.

Starting today, you can connect Scite to the AI tools you already use. Search 250M+ articles, evaluate research with Smart Citations, and access full-text PDFs - all without leaving your workflow.

We recently asked researchers, information professionals, and academics a simple question: Do you trust LLM answers without citations? 88% said no. When we asked what matters most when using generative AI, accuracy and trustworthiness topped the list, followed closely by citation quality and source verification.

January focused on expanding what researchers can explore, improving how work gets organized, and strengthening the foundation for faster innovation throughout 2026.

December brought a set of meaningful improvements to Scite Assistant focused on clarity, usability, and deeper exploration.

The "no AI" policy ship has sailed. Faculty members across disciplines have spent the past two years watching students submit papers with suspiciously smooth prose and nonexistent citations, leading to a game of academic whack-a-mole that benefits no one.

November was all about refining the core experience—making Scite feel clearer, faster, and more predictable for both new and experienced users.

Zotero is already one of the best tools for collecting, organizing, and citing research. But the real power comes from its plugin ecosystem.

October was all about speed, clarity, and action—making it faster to get answers, easier to trust citations, and simpler to turn insights into outcomes.

Finding relevant literature has always been the bottleneck. AI is changing that, but the tools vary widely in how they approach the problem.

Researchers spend hours in their browser every day, but the default browsing experience gives you almost nothing to work with. The right extensions change that.

We are now pleased to present our first annual rankings report for fields, institutions, and journals

Literature reviews take weeks. AI won't write one for you, but it can compress the most tedious parts of the process and help you see things you'd otherwise miss.

A practical look at where AI tools help in the research workflow, where they fall short, and how to evaluate them.

The citations you need exist. The problem is finding them efficiently and knowing whether they actually support what you think they support.