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Research metrics and publishing: Key tools

Citation analysis tools and selected metrics

Web of Science (Clarivate Analytics)

Incites/Journal Citation Reports/Essential Science Indicators (Clarivate Analytics content based on Web of Science data)

Scopus (Elsevier)

Scimago Journal & Country Rank (based on Scopus data)

SciVal (Elsevier content based on Scopus data)

Google Scholar

-Author h-index
-Total publications
-Times Cited

See also
InCites:
  -Category Normalised Citation Impact (CNCI)
  -% documents in top 1% or 10%

Journal Citation Reports (JCR):
  -Journal Impact Factor (JIF)
  -Journal Rank, Quartile

Essential Science Indicators:
  -Top/Hot/Highly cited papers
  -Field Baselines
  -Citation thresholds

-Author h-index
-Documents by author
-Total citations

-Field-Weighted Citation Impact (FWCI) for articles
-SNIP (Source Normalized Impact per Paper)
-Citescore

-SJR (Scimago Journal Rank)

See also
SciVal:
  -Field-Weighted Citation Impact (FWCI)
  -Outputs in top percentiles
  -International collaborations
  -Academic/corporate collaboration

 

h-index

i10-index

Sum of Citations

Citations per publication

Monash Subscription

Monash Subscription / Scimago free resource

Free to search

Visualisation tools

Visualisation tools can assist in discovering and demonstrating connections or relationships between entities and may add clarity and impact to an analysis.

Examples of how visualisation tools may be used:

A selection of visualisation tools is listed below:

Sci2

  • For Science of Science research and practice.
  • Could be used for visualising co-author networks.
  • Provides advanced algorithms, effective visualisations, and many standard workflows. Supports micro-level documentation and replication of studies.

Gephi

  • Open Source and free tool for Windows, Mac and Linux.
  • Could be used for visualising co-author networks.
  • Interact with the representation, manipulate the structure, shapes and colours to reveal hidden properties. Make hypotheses, intuitively discover patterns, isolate structure singularities or faults during data sourcing.

D3.js

  • Can be used for any type of data in a variety of formats.
  • Provide data visualisations in web browsers.
  • D3 helps bring data to life using HTML, SVG and CSS.  
  • Combines powerful visualisation components and a data-driven approach to Document Object Model manipulation.

VOS Viewer

  • Free standalone tool developed by Leiden University.
  • Networks may include journals, researchers, or individual publications, and they can be constructed based on co-citation, bibliographic coupling, or co-authorship relations.
  • Text mining functionality available.