Korea Institute of Machinery & Materials

#2604 of 5,283

Daejeon, South Korea facility

ROR: 01qcq9d74

29
Positions
27
Editors
20
Journals
3
Publishers
11.7
Mean h-index

Korea Institute of Machinery & Materials ranks #2604 among 5,283 institutions. 29 positions across 20 journals. 27 editors. 25.0% female (below avg 33%). Mean h-index: 11.7 (below avg 22.5).

Gender distribution

Low gender-inference coverage: only 29.6% of editors here have an inferred gender. The 25.0% figure is a share of the classifiable minority, not of the whole board. Typically caused by CJK-script names (Chinese / Korean / Taiwanese) that the WGND 2.0 dictionary cannot disambiguate.
Male
6
Female
2
Unknown
19

25.0% female · 75.0% male (of 8 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 scientific fields

Engineering
77.8% 21
Environmental Science
7.4% 2
Materials Science
7.4% 2
Biochemistry, Genetics and Molecular Biology
3.7% 1
Medicine
3.7% 1

Board diversity

Per-editor diversity indicators. Each editor is counted once (composite identity key). The Shannon column uses Pielou's normalisation J = H / ln(k), bounded in [0, 1]. See the methodology for full definitions, use cases, and references (Shannon 1948; Pielou 1966; Jost 2006).

Field diversity
0.513
Pielou's J over OpenAlex scientific fields. High values mean this entity's editors span many disciplines (a broad multidisciplinary footprint); low values mean they cluster in one field. Especially informative for institution pages, where the country and org_type Shannons are trivially zero.
Seniority (academic age)
23 yr
Median years since first OpenAlex-indexed publication, per unique editor. IQR 11.5–32.8 yr (spread 21.2 yr), mean 22.2 yr, n = 26. A low median with a small IQR indicates a board clustered in one career stage; a large IQR signals generational mix.
Explore Korea Institute of Machinery & Materials editors Journal statistics Download full dataset

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