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Journal and Research Metrics

Journal and Research Metrics Classification

Table 1: Journal-Level Metrics
Metric Database/Source Time Window Description Strengths Limitations
Impact Factor (IF)
IF = (Citations in year N to articles from years N-1 & N-2) / (Number of articles in N-1 & N-2)
Web of Science 2 years Citations received / Papers published Widely recognized, standardized Field bias, manipulation possible
CiteScore
CiteScore = (Citations in year N to articles from N-1, N-2, N-3) / (Number of articles in N-1, N-2, N-3)
Scopus 3 years Citations received / Papers published Longer window than IF, transparent Newer metric, less established
SCImago Journal Rank (SJR)
SJR ≈ Weighted citations / Number of articles (weight considers source prestige)
Scopus 3 years Weighted citations considering source prestige Quality-weighted citations Complex calculation
Source Normalized Impact per Paper (SNIP)
SNIP ≈ Raw citations / Field citation potential
Scopus 3 years Corrects for field citation differences Field-normalized Complex interpretation
Eigenfactor Score Web of Science 5 years Network-based journal influence Considers citation network Difficult to interpret
Article Influence Score Web of Science 5 years Average influence per article Per-article focus Low scores hard to interpret
Immediacy Index Web of Science 1 year Speed of citation after publication Measures immediate impact Very short window
h5-index
h5 = max { h | h articles in last 5 years have ≥ h citations each }
Google Scholar 5 years h-index for journal’s recent articles Combines productivity and impact Google Scholar coverage issues
h5-median
h5-median = median citations of h5-core articles
Google Scholar 5 years Median citations of h5-core articles Complements h5-index Limited interpretability
Table 2: Author-Level Metrics
Metric Formula/Definition Strengths Limitations Best Used For
h-index
h = max { i | paper i has ≥ i citations }
h papers with ≥h citations each Simple, combines productivity & impact Favors older researchers, field-dependent Overall career assessment
i10-index
i10 = number of papers with ≥10 citations
Papers with ≥10 citations Easy to understand Arbitrary threshold Productivity measure
g-index
g = max { g | sum of top g citations ≥ g² }
Largest g where top g papers have ≥g² citations Sensitive to highly cited papers More complex calculation Impact of top papers
m-index
m = h-index / years since first publication
h-index / years since first publication Age-normalized Penalizes career breaks Career stage comparison
e-index
e = √(excess citations beyond h-core)
√(excess citations beyond h-core) Captures citation surplus Complex interpretation Citation distribution analysis
A-index
A = mean citations of h-core papers
Average citations of h-core papers Average impact of core papers Requires h-index calculation Core paper quality
R-index
R = √(total citations in h-core)
√(citations of h-core papers) Considers total impact Square root transformation Balanced impact measure
Table 3: Alternative and Emerging Metrics
Category Metric Source What It Measures Applications
Altmetrics Altmetric Score Altmetric.com Social media, news, policy mentions Public engagement, societal impact
Usage Metrics Downloads
Downloads = Count of full-text downloads or views
Publishers Article downloads/views Reader interest, accessibility
Usage Metrics PlumX Metrics Plum Analytics Usage, captures, mentions, citations Comprehensive impact view
Social Media Tweet Count Various platforms Social media mentions Public discourse impact
Policy Impact Policy Citations Policy databases Government/policy document citations Policy relevance
News Impact News Mentions News aggregators Mainstream media coverage Public awareness
Table 4: Database-Specific Metrics
Database Primary Metrics Coverage Strengths
Web of Science Impact Factor, Eigenfactor, Article Influence Selective, high-quality journals Established, rigorous
Scopus CiteScore, SJR, SNIP Broader than WoS Comprehensive coverage
Google Scholar h5-index, h5-median Very broad, includes grey literature Comprehensive, free access
Microsoft Academic Field-normalized metrics Broad coverage AI-powered analysis
Dimensions Field Citation Ratio, Relative Citation Ratio Comprehensive Policy and patent linkage
Table 5: Specialized and Composite Indices
Index Type Examples Purpose Calculation Method
Field-Normalized Crown Indicator
Crown Indicator = Citations / Average citations in field
Cross-field comparison Percentile-based ranking within field
Field-Normalized PP(top 10%)
PP(top 10%) = % of papers in top 10% most cited in field
Cross-field comparison Percentile-based ranking within field
Time-Normalized Contemporary h-index
Each paper weighted by (4 / (current year – publication year + 1))
Account for publication timing Time-weighted calculations
Collaborative Fractional counting
Each author receives 1/nth credit if n co-authors
Account for collaboration Weighted by author contribution
Quality-Weighted Weighted h-index
Weighted h-index = h-index weighted by journal prestige of each paper
Emphasize journal quality Citations weighted by journal prestige
Composite Integrated metrics Holistic assessment Combination of multiple indicators
Table 6: Usage Guidelines by Purpose
Purpose Recommended Metrics Avoid
Journal Selection Impact Factor, CiteScore, SJR Single metric decisions
Researcher Evaluation h-index + field context h-index alone
Cross-Field Comparison Field-normalized metrics Raw citation counts
Early Career Assessment m-index, recent publications Career-long metrics only
Societal Impact Altmetrics, policy citations Traditional citations only
Funding Decisions Multiple complementary metrics Any single indicator