Economics, Econometrics and Finance

#10 of 26

Editorial board composition

28,351
Positions
26,090
Editors
641
Journals
123
Countries
22.1
Mean h-index

Economics, Econometrics and Finance ranks #10 among 26 fields. 28,351 positions across 641 journals. 26,090 editors. 29.3% female (below avg 33%). Mean h-index: 22.1 (below avg 22.5).

Gender distribution

Male
14,868
Female
6,174
Unknown
5,048

29.3% female · 70.7% male (of 21,042 resolved; global avg 33%)

Each editor counted once at this entity (composite identity key). Gender is inferred from the first name — not self-reported — and coverage drops for non-Latin-script names, which inflates the "unknown" bar in some countries.

Top countries

United States
21.1% 5,494
United Kingdom
8.2% 2,142
China
4.8% 1,264
Italy
3.3% 851
Australia
3.0% 789
Canada
2.4% 632
Germany
2.4% 631
India
2.2% 570
France
2.0% 534
Japan
1.7% 438

Board diversity

Per-editor diversity indicators. Each editor is counted once (composite identity key). The Shannon columns use Pielou's normalisation J = H / ln(k) so values are comparable across entities with different numbers of categories. See the methodology for full definitions, use cases, and references (Shannon 1948; Pielou 1966; Jost 2006).

0.610
Pielou's J over ROR country distribution. 0 = all editors from one country, 1 = perfectly even across every country present. MDPI sits higher than Elsevier here; compare against the top-countries bar to see which countries drive the spread.
0.232
Pielou's J over the ROR org_type field (education, healthcare, facility, government, nonprofit, company, archive). Low values mean editors come overwhelmingly from one kind of institution — usually universities, which account for about 82% of editors dataset-wide. Higher values indicate editorial boards that reach into clinical practice, public labs, industry, or scientific societies.
27 yr
Median years since first OpenAlex-indexed publication, per unique editor. IQR 17–41 yr (spread 24 yr), mean 32 yr, n = 15,435. A low median with a small IQR indicates a board clustered in one career stage; a large IQR signals generational mix.