About this journal
Aims and scope
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.
For more details, please read the Author Services guide to understanding journal metrics.
Journal metrics in brief
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.
For more details on the data above, please read the Author Services guide to understanding journal metrics.
*Copyright: Journal Citation Reports®, Clarivate Analytics
†Copyright: CiteScore™, Scopus
Editorial board
Editor-in-Chief:
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, GermanyHeinz 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.
Use our APC finder to calculate your article publishing charge
News, offers and calls for papers
News and offers
16 issues per year
Advertising information
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