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Web of Science Research Assistant

by Clarivate

AI Application
Low Confidence

Web of Science Research Assistant is a generative AI assistant inside Clarivate's Web of Science citation database. Researchers and students at subscribing institutions use it to ask research questions in natural language, understand a topic, start a literature review, find journals to publish in and identify experts in a field. The vendor says it uses commercially provided pre-trained large language models in a retrieval-augmented generation setup over the Web of Science Core Collection: it retrieves semantically similar and keyword-matched articles, ranks them and builds a response that lists the sources used, alongside co-citation networks, topic maps and trend graphs. Clarivate says only the text a user types is sent to the model through a private setup, that it does not train models on user data, and that academic subject-matter experts evaluate responses. Its AI policy warns that responses may be inaccurate or biased and should be checked against the cited sources.

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Transparency Score

Weighted across four pillars · updated October 19, 2026

Overall grade
57% weighted
ABCDF
Model
—
Not yet assessed
Infrastructure
—
Not yet assessed

Capabilities

Literature Search
Answer Generation
Summarization
Literature Review Guidance
Journal Finding
Expert Finding
Data Visualization

Vendor Information

Complete information about the vendor/provider of this AI application

ClarivateView all products →
Clarivate Plc(Trading as: Clarivate)
Contact Information
clarivate.com
Registered Address
70 St. Mary Axe, London, EC3A 8BE, GB

EU AI Act Provider Information

Verification Status:
Unverified
Clarivate Plc(Trading as: Clarivate)
70 St. Mary Axe, London, EC3A 8BE, GB
Clarivate Analytics (ESPAÑA) SAU
Carrer de Provença, 398, Barcelona, ES
Publishes a channel for reporting security incidents or vulnerabilities: https://clarivate.com/trust-center/#report (read 19 October 2026).
Clarivate's Academia & Government generative AI policy says LLMs have limitations and may generate responses that are not accurate, that biases in training data or research literature can lead to biased responses, and recommends users check responses against the source materials provided (https://clarivate.com/ai/academia/policy/, read 19 October 2026).
Compliance & Risk

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Added: October 19, 2026
Updated: October 19, 2026

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