Numerical Functional Analysis and Optimization is a journal aimed at development and applications of functional analysis and operator-theoretic methods in numerical analysis, optimization and approximation theory, control theory, signal and image processing, inverse and ill-posed problems, applied and computational harmonic analysis, operator equations, and nonlinear functional analysis. Not all high-quality papers within the union of these fields are within the scope of NFAO. Generalizations and abstractions that significantly advance their fields and reinforce the concrete by providing new insight and important results for problems arising from applications are welcome. On the other hand, technical generalizations for their own sake with window dressing about applications, or variants of known results and algorithms, are not suitable for this journal.
Numerical Functional Analysis and Optimization publishes about 70 papers per year. It is our current policy to limit consideration to one submitted paper by any author/co-author per two consecutive years. Exception will be made for seminal papers.
Publication office: Taylor & Francis, Inc., 530 Walnut Street, Suite 850, Philadelphia, PA 19106.
Journal metrics
Usage
33K annual downloads/views
Citation metrics
1.4 (2023) Impact Factor
Q2 Impact Factor Best Quartile
1.3 (2023) 5 year IF
2.4 (2023) CiteScore (Scopus)
Q2 CiteScore Best Quartile
0.987 (2023) SNIP
0.536 (2023) SJR
Speed/acceptance
82 days avg. from submission to first
decision
156 days avg. from submission to first
post-review decision
15 days avg. from acceptance to online
publication
19% acceptance rate
Understanding and using journal metrics
Journal metrics can be a useful tool for readers, as well as for authors
who are deciding where to submit their next manuscript for publication.
However, any one metric only tells a part of the story of a journal’s
quality and impact. Each metric has its limitations which means that it
should never be considered in isolation, and metrics should be used to
support and not replace qualitative review.
We strongly recommend that you always use a number of metrics, alongside
other qualitative factors such as a journal’s aims & scope, its
readership, and a review of past content published in the journal. In
addition, a single article should always be assessed on its own merits and
never based on the metrics of the journal it was published in.
Usage and acceptance rate data above are for the last full calendar year
and are updated annually in February. Speed data is updated every six
months, based on the prior six months. Citation metrics are updated
annually mid-year. Please note that some journals do not display all of
the following metrics
(find out why).
Usage:
the total number of times articles in the journal were viewed by users
of Taylor & Francis Online in the previous calendar year, rounded to the
nearest thousand.
Citation Metrics
Impact Factor*:
the average number of citations received by articles published in the
journal within a two-year window. Only journals in the Clarivate Science
Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI),
Arts and Humanities Citation Index (AHCI) and the Emerging Sources
Citation Index (ESCI) have an Impact Factor.
Impact Factor Best Quartile*:
the journal’s highest subject category ranking in the Journal Citation
Reports. Q1 = 25% of journals with the highest Impact Factors.
5 Year Impact Factor*:
the average number of citations received by articles in the journal
within a five-year window.
CiteScore (Scopus)†:
the average number of citations received by articles in the journal over
a four-year period.
CiteScore Best Quartile†:
the journal’s highest CiteScore ranking in a Scopus subject category. Q1
= 25% of journals with the highest CiteScores.
SNIP
(Source Normalized Impact per Paper):
the number of citations per paper in the journal, divided by citation
potential in the field.
SJR
(Scimago Journal Rank):
Average number of (weighted) citations in one year, divided by the
number of articles published in the journal in the previous three years.
Speed/acceptance
From submission to first decision:
the average (median) number of days for a manuscript submitted to the
journal to receive a first decision. Based on manuscripts receiving a
first decision in the last six months.
From submission to first post-review decision:
the average (median) number of days for a manuscript submitted to the
journal to receive a first decision if it is sent out for peer review.
Based on manuscripts receiving a post-review first decision in the last
six months.
From acceptance to online publication:
the average (median) number of days from acceptance of a manuscript to
online publication of the Version of Record. Based on articles published
in the last six months.
Acceptance rate:
articles accepted for publication by the journal in the previous
calendar year as percentage of all papers receiving a final decision.
M.Z. Nashed Department of Mathematics University of Central Florida 4393 Andromeda Loop N Orlando, Florida 32816
Associate Editor:
Otmar Scherzer Computational Science Center University of Vienna Oskar-Morganstern Platz 1 1090 Vienna Austria
Advisory Editors:
Paul Leo Butzer – RWTH Aachen, Germany Heinz W. Engl – University of Vienna and RICAM, Austria Robert P. Gilbert – University of Delaware, USA Karl-Heinz Hoffmann – Technical University of Munich, Germany Werner C. Rheinboldt – University of Pittsburgh, USA Robert Teman – Université de Paris, France Edriss S. Titi – Texas A&M University, USA
Editorial Board:
A. Aldroubi- Vanderbilt University, USA Giovanni Alberti -University of Genoa, Italy Giles Auchmuty- University of Houston, USA Jean-Francois Aujol- University of Bordeaux, France Carlo Bardaro- University of Perugia, Italy Radu Ioan Bot- University of Vienna, Austria Ouayl Chadli- Ibn Zohr University, Morocco Xiajun Chen- The Hong Kong Polytechnic, Hong Kong Christine De Mol -Free University of Brussels Irene Fonseca- Carnegie-Mellon University, USA Willi Freeden- University of Kaiserslautern, Germany Jean-Pierre Gabardo - McMaster University, Canada Charles W. Groetsch- The Citadel, USA Weimin Han- University of Iowa, USA Martin Hanke- Johannes Gutenberg University Bernd Hofmann- Technical University of Chemnitz, Germany Jose Iglesias - University of Twente, The Netherlands Alfredo Noel Iusem- IMPA, Brazil Palle E. T. Jorgensen- University of Iowa, USA Sergey I. Kabaikhin -Sobolev Institute of Mathematics Irene Lasiecka- University of Memphis, USA Dumitru Motreanu- University of Perpignan, France Sergei Pereverzyev - Austrian Academy of Sciences, Austria Huong Xan Phu- Vietnam Academy of Science and Technology, Vietnam Florian A. Potra- University of Maryland, USA Jürgen Prestin -University of Luebeck, Germany Arnd Roesch- University of Duisburg, Germany Gabriele Steidl- Technical University-Berlin, Germany Qun Zhou Sun -University of Central Florida, USA Gianluca Vinti- University of Perugia, Italy Frank Werner - Universität Würzburg, Germany Yimin Wei- Fudan University, P. R. of China Hong-Kun Xu - National Sun Yat-sen University, Taiwan Isao Yamada- Tokyo Institute of Technology, Tokyo, Japan Vera M. Zeidan -Michigan State University
Abstracting and indexing
Numerical Functional Analysis and Optimization is abstracted/indexed in:
American Mathematical Society MathSciNet
De Gruyter Saur IBZ - Internationale Bibiographie der Geistes- und Sozialwissenschaftlichen Zeitschriftenliteratur Internationale Bibilographie der Rezensionen Geistes- und Sozialwissenschaftlicher Literatur
EBSCOhost (various)
Elsevier BV Compendex Scopus
Genamics JournalSeek
OCLC ArticleFirst Electronic Collections Online
Personal Alert (Email)
ProQuest (various)
Springer Zentralblatt MATH (Online)
The Engineering Index Monthly (DVD)
Clarivate Analytics Current Contents Science Citation Index Expanded Web of Science
VINITI RAN Referativnyi Zhurnal
World Ceramics Abstracts (Online)
zbMATH
Open access
Numerical Functional Analysis and Optimization is a hybrid open access journal that is part of our Open Select publishing program, giving you the option to publish open access. Publishing open access means that your article will be free to access online immediately on publication, increasing the visibility, readership, and impact of your research.
Why choose open access?
Increase the discoverability and readership of your article
Make an impact and reach new readers, not just those with easy access to a research library
Freely share your work with anyone, anywhere
Comply with funding mandates and meet the requirements of your institution, employer or funder
Rigorous peer review for every open access article
Article Publishing Charges (APC)
If you choose to publish open access in this journal you may be asked to pay an Article Publishing Charge (APC). You may be able to publish your article at no cost to yourself or with a reduced APC if your institution or research funder has an open access agreement or membership with Taylor & Francis.
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