Fingerprint The Elsevier Fingerprint Engine mines the text of the experts' scholarly documents - publication abstracts, awards, project summaries, patents, and other sources – to create an index of weighted terms which defines the text, known as a Fingerprint. By aggregating and comparing Fingerprints, the Elsevier Fingerprint Engine enables users to look beyond metadata and expose valuable connections among people, research units, publications, and ideas.
- Sort by
- Weight
- Alphabetically
Social Sciences
librarian
resources
student
electronics
literacy
Internet
archivist
management
librarianship
instruction
music
learning
chat
Teaching
Values
staff
community
best practice
transaction
experience
university
education
trend
cultural heritage
search engine
workflow
engineering
graduate
website
science
methodology
loan
indexing
bibliography
information science
planning
evaluation
Puerto Rico
present
thesaurus
gray literature
grant
profession
communication
information-seeking behavior
open access
interview
information retrieval
social science
instructor
language
Middle East
Group
museum
disaster
earning a doctorate
organization
Sports
history
disability
interdisciplinary research
Law
budget
Poland
vocabulary
management counsulting
functionality
purchase
coverage
career
newspaper
costs
workstation
open channel
responsibility
conversation
staffing
veterinary medicine
semantics
interest group
examination
women's studies
literature
new technology
documentation
lack
twentieth century
Engineering & Materials Science
Metadata
Digital libraries
Thesauri
Students
Websites
Information retrieval
Internet
Health
Semantics
Information management
Teaching
Testbeds
XML
World Wide Web
Museums
Application programs
Navigation