Geometric and Functional Analysis (journal)
Geometric and Functional Analysis (GAFA) (ISSN 1016-443X) is a mathematical journal published by Birkhäuser, an independent division of Springer-Verlag. The journal is published approximately bi-monthly. The journal publishes papers on broad range of topics in geometry and analysis including geometric analysis, riemannian geometry, symplectic geometry, geometric group theory, non-commutative geometry, automorphic forms and analytic number theory, and others. GAFA is both an acronym and a part of the official full name of the journal.
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Geometric and Functional Analysis (journal)
Geometric and Functional Analysis (GAFA) (ISSN 1016-443X) is a mathematical journal published by Birkhäuser, an independent division of Springer-Verlag. The journal is published approximately bi-monthly. The journal publishes papers on broad range of topics in geometry and analysis including geometric analysis, riemannian geometry, symplectic geometry, geometric group theory, non-commutative geometry, automorphic forms and analytic number theory, and others. GAFA is both an acronym and a part of the official full name of the journal.
abbreviation
Geom. Funct. Anal.
has abstract
Geometric and Functional Analy ...... cial full name of the journal.
@en
Geometric and Functional Analy ...... мон Дональдсон и Питер Сарнак.
@ru
Geometric and Functional Analy ...... mon Donaldson en Peter Sarnak.
@nl
first publication year
frequency of publication
approximately bimonthly
impact factor
impact factor as of
issn
publisher
Wikipage page ID
18.820.047
Wikipage revision ID
744.901.736
link
link1-name
GAFA, papers to appear
subject
hypernym
comment
Geometric and Functional Analy ...... cial full name of the journal.
@en
Geometric and Functional Analy ...... мон Дональдсон и Питер Сарнак.
@ru
Geometric and Functional Analy ...... mon Donaldson en Peter Sarnak.
@nl
label
GAFA
@ru
Geometric and Functional Analysis (journal)
@en
Geometric and Functional Analysis
@nl
homepage
isPrimaryTopicOf
name
Geometric and Functional Analysis
@en