DBIS - Scopus

Scopus is a multidisciplinary abstract and citation database for research literature and high-quality Internet sources (peer-reviewed). Various tools are available for tracking, analyzing and visualizing research information from all subject areas, e.g.:Natural Sciences, Technology, Medicine and Health Sciencessocial sciencesArts and HumanitiesScopus also provides the citations of the scientific articles (references and citations) that enable the citation analysis (Who cites whom? Who is cited by whom?).The evaluation will start in the publication year 1996.Further data on Scopus:69 million references and abstracts from more than 22,800 peer-reviewed journals, published by more than 5,000 international publishers (as of February 2018)daily updatingAbstracts searchable retroactively until 1970 (partly until 1788)for all articles published since 1996 in addition to the abstract also references to literature, many of them for the first time in linked formLinks to full text articles and other bibliographic sourcescontinuously expanded range of Open Access and electronic-only journalscontinuously expanded range of book titles (as of the beginning of 2018: over 150,000)In addition to extensive search options, you have the option of creating your own search profiles and making use of an alert service (also possible as RSS feeds).An overview of the contents can be found here.

Local Licence (Local License)

Formal type Online

for authorized users

Access Type	Access via authentication methods
Access link	https://www.scopus.com
Usage	Licensed for the University of Graz; available campus-wide and for university members from outside via VPN. The Scopus-AI-module will be licensed for the University of Graz in an extended test phase in 2025 by the University Library as part of the E-Media Austria cooperation. The terms of use of the University Library of Graz and the provider must be observed.

Resource id

3636

Subjects

Agriculture and Forestry, Horticulture, Nutritiona... General Science General and Interdisciplinary Databases Linguistics and Literature Architecture, Civil Engineering Biology, Biotechnology Chemistry and Pharmacology Electrical Engineering, Electronics and Communicat... Energy Technology Geosciences History Computer Science Mechanical Engineering Mathematics Medicine Education Philosophy Physics Political Science Psychology Sociology Sports Science Technology Materials Science and Manufacturing Engineering Business and Economics

Database types

Article Database Subject Bibliography

Keywords

Naturwissenschaften

Notes

Data protection information for the use of Scopus AI:
Scopus AI is based on a Large Language Model (LLM). In contrast to other LLMs, which are essentially based on the content of the World Wide Web, the knowledge base of Scopus AI consists of the metadata of the Scopus database. The use of this LLM technology is private. This means that no data exchange takes place, and the provider Elsevier does not use the data to train the public model. Details on data protection can be found in Elsevier’s privacy policy. Do not use any personal data for your tests that go beyond the normal use of literature databases. If you are unsure about this or have any other questions about data protection when using Scopus AI, please contact the Data Protection Officer at your university. Note: Although the goal of Scopus AI is to provide summaries and generative AI features based on reliable Scopus content, there may be occasional inconsistencies. It is possible that Scopus AI will generate results that may be considered false, misleading, biased, or even offensive. Scopus AI is not intended to provide legal, financial, or medical advice. Users should not rely solely on Scopus AI’s results without conducting independent research.

Instructions

Nähere Hinweise zur Nutzung von Scopus finden Sie über die
Scopus-Tutorials, Scopus-Hilfeseiten und über YouTube

Further information

External identifiers

ZDB	2193487-3

Availability in other organisations

Switch to database view of the organisation

Adminisrate database

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