Starting from a natural language question or topic, you can:

• Identify relevant peer-reviewed literature from the Scopus database

• Generate summaries grounded in indexed scholarly content

• Explore key concepts, themes, and related research areas

• Save time in literature discovery and review
  
  

Scopus AI uses generative AI to search the Scopus database and produce concise summaries of the scholarly literature relevant to your query. Responses are based on Scopus-indexed abstracts and metadata, with cited references linking directly to source documents for verification and further exploration.

Rather than relying solely on keyword matching, Scopus AI interprets the intent of your question to surface relevant publications and synthesise themes across the literature. You can refine your query conversationally, explore suggested follow-up questions, and navigate to related concepts or authors.

Scopus AI is particularly useful for:

• Gaining a rapid overview of a research topic

• Discovering key papers and influential work

• Exploring connections between concepts or fields

• Supporting early-stage literature review and topic development
  
  

By synthesising content from a large curated abstract and citation database, Scopus AI helps researchers quickly orient themselves within a field while maintaining transparency through linked source material.

Scopus with Scopus AI

Efficient and research-focused.

Starting from a simple question or topic, you can:

• Identify relevant academic papers quickly

• Extract and compare key findings from across studies

• Explore related concepts or research questions

• Save time in your literature review and evidence synthesis

Elicit uses advanced AI to search scholarly works and return a curated list of papers relevant to your query. For each paper, Elicit can highlight key information such as research questions, methods, outcomes, and sample sizes—helping you compare studies at a glance.

Rather than relying on keywords alone, Elicit interprets the intent behind your question and ranks results accordingly. You can interactively refine your query, add filters, and explore follow-up questions generated by the tool.

Elicit excels at supporting tasks like:

• Generating structured evidence tables

• Identifying gaps or consensus in the literature

• Drafting summaries grounded in source material

By streamlining early research stages, Elicit helps you move from broad questions to focused insights—faster and with more clarity.

www.elicit.com

Fast answers from peer-reviewed sources.

Starting from a clear research question, you can:

• Get concise, evidence-based answers

• See how many studies support a given claim

• Quickly assess the strength of the scientific consensus

• Discover and compare key studies on the topic

Consensus uses AI to search and synthesise findings from peer-reviewed academic literature. It presents direct answers to your research question, along with a breakdown of supporting evidence and links to the original sources.

The tool identifies whether studies agree or disagree with the claim in question, and can highlight patterns across disciplines or over time. It’s especially useful for topics that benefit from understanding overall trends or areas of agreement in the literature.

Consensus is ideal for:

• Quickly understanding what the research says

• Supporting decision-making with up-to-date evidence

• Comparing positions on contested or emerging issues

www.consensus.app

Interactive and exploratory.

Starting from one or more seed papers, you can:

• Build dynamic maps of related research

• Discover authors, co-authorship networks, and key contributors

• Trace the development of ideas across time and disciplines

• Explore both backward and forward citation trails

ResearchRabbit creates live, expandable graphs of related literature based on your chosen papers. As you interact with the graph, you can uncover connections between articles, authors, and fields—surfacing both well-known and unexpected research paths.

Unlike static citation maps, ResearchRabbit updates in real time as you explore, allowing you to:

• Expand nodes to find related work

• Track emerging trends and new publications by specific researchers

• Organise your findings into custom collections

• Follow author profiles and get notified of new work

The visual interface supports open-ended discovery, making it particularly useful for generating ideas, identifying collaborators, and staying current in fast-moving fields.

By combining citation data with a researcher-centric design, ResearchRabbit turns literature searching into a flexible, creative process.

www.researchrabbit.ai

Build a network of academic papers based on a paper of your choice or your current library and then analyse the network to find the most relevant literature for you.  This tool allows you to discover, select and refine your topic within the tool, and then download your findings back into your reference manager. Inciteful will then provide:

1. Similar papers

2.  Most important papers in the graph

3.  Recent papers by the Top 100 Authors

4.  The most important recent papers

These results can be further filtered by keywords (Boolean query allowed) and distance filters (basically how many citation/reference hops from the seed papers) to look for relevant papers to add as seed paper. Or you can directly add seed papers by title or DOI .

Unlike Connected Papers, which is a one shot tool, you can use Inciteful iteratively, by adding the papers it finds into the seed papers and to continue to see what it suggests.

inciteful.xyz

Simple but powerful.

Starting from a single 'seed' article (or relevant article) you can:

1. Get a visual overview of a new academic field

2.  Make sure you haven't missed an important paper

3.  Discover relevant prior and derivative works

Connected papers will automatically look for about 25 papers similar to the one you chose and arrange them into a visual image with increased similarity positioned closer.  The size of the node represents the number of citations and the colour shade represents the publication year.

Once you have generated the similarity graph of similar papers, you can click on either the “Prior Works” button or the “Derivative works” button to help detect seminal works or review/survey papers respectively.

For any paper identified of interest you can further click on the “build a graph” button to make it the seed paper instead and generate yet another similarity graph using it as a seed paper.

The algorithm used to calculate similarity is based on both Co-citation and similarity of references. Unlike tools that are based only on co-citations, this ensures that Connected Papers works even for very new papers that do not have many citations, as similarity of references is considered as well.

www.connectedpapers.com