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CiteScore: Measurement & Art

CiteScore (CS) of an academic journal is a measure reflecting the yearly average number of citations to recent articles published in that journal. It is produced by Elsevier, based on the citations recorded in the Scopus database. Absolute rankings and percentile ranks are also reported for each journal in a given subject area.

Language: English [EN]
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CiteScore topic overview

The analysis highlights Measurement and Art as prominent areas in the source structure around CiteScore.

Related topics
12
Source areas
2
Connected nodes
14
Extracted relationships
11
Concept neighborhoods
13
Bridge connections
14

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 11 topics
Calculation · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Calculation

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How CiteScore connects Entity context

The extracted context around CiteScore shows recurring relationship patterns in the source. For example, CiteScore → Citations, CS, In, Publications Another extracted example is CiteScore → Before, Citations, CS, Publications. Use these groups to spot repeated connection types before inspecting the individual relationships.

CiteScore

Top relations

related to Calculation · 4
CiteScore → Citations, CS, In, Publications
related to Pre-2020 formula · 4
CiteScore → Before, Citations, CS, Publications
has impact · 3
CiteScore → Another, JCR, Their

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

journal citations jcr articles published impact number factor citescores cs given calculated years 2020 based nature scopus year publications example

CiteScore relationships Subject–Predicate–Object triples

TTTA extracted 11 structured relationships around CiteScore. Examples in this analysis include CiteScore → has impact → JCR and CiteScore → has impact → Their. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
CiteScorehas impactJCR0.60section
CiteScorehas impactTheir0.60section
CiteScorehas impactAnother0.60section
CiteScorerelated to CalculationIn0.60section
CiteScorerelated to CalculationCS0.60section
CiteScorerelated to CalculationCitations0.60section
CiteScorerelated to CalculationPublications0.60section
CiteScorerelated to Pre-2020 formulaBefore0.60section
CiteScorerelated to Pre-2020 formulaCS0.60section
CiteScorerelated to Pre-2020 formulaCitations0.60section
CiteScorerelated to Pre-2020 formulaPublications0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around CiteScore bring nearby vocabulary together. In this analysis, examples include Articles, Published and Citations. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • CiteScore
    • Articles
    • Published
    • Citations
    • Journal
    • Cs
    • Example
    • Nature
    • Years
    • Number
    • Jcr
    • Calculation
    • Displaystyle
  • citescore
    • Articles
    • Published
    • Citations
    • Journal
    • Cs
    • Example
    • Nature
    • Years
    • Number
    • Jcr
    • Calculation
    • Displaystyle
  • academic journal
    • Factor
    • Given
    • Impact
    • Number
    • Published
    • Jcr
    • Calculation
    • Displaystyle
    • Divided
    • Metric
    • Received
    • Reported
  • citations
    • Articles
    • Published
    • Cs
    • Years
    • Citescore
    • Number
    • Based
    • Calculation
    • Displaystyle
    • Divided
    • Four
    • Preceding
  • journal citation reports
    • Factor
    • Given
    • Impact
    • Number
    • Published
    • Jcr
    • Calculation
    • Displaystyle
    • Divided
    • Metric
    • Received
    • Reported
  • impact factor
    • Jcr
    • Factor
    • Impact
    • Metric
    • Journal
    • Citescores
    • Clarivate
    • Calculation
    • Displaystyle
    • Divided
    • Four
    • Received
  • calculation
    • Displaystyle
    • Divided
    • Received
    • Text
    • Three
    • Total
    • Cs
    • Example
    • Given
    • Nature
    • Publications
    • Year
  • nature
    • Received
    • Text
    • Three
    • Total
    • Publications
    • Year
    • Years
    • Number
    • Published
    • Preceding
    • Reported

Connections between topic areas Semantic bridges

For CiteScore, one of the stronger structural bridges in this analysis connects CiteScore with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
CiteScore — Overview · splits 3 ⟂ 12

Map overview Semantic statistics

CiteScore

Nodes15
Edges14
Triples11
Avg. degree1.87
Density0.133333
Components1

Source & methodology

TTTA analyzes the structure around CiteScore to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Measurement & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — CiteScore · EN edition · Analysis: TopicsToTalkAbout

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