Please note, from 2022 the Print ISSN is not in active use as this journal is no longer published in print.
Applied Artificial Intelligence aims to address concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about multidisciplinary impacts of AI research based on novel methods, techniques, and frameworks. Articles published in AAI highlight advances in uses of AI systems for introducing novel solutions in management, industry, engineering, health, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. We welcome papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material.
Applied Artificial Intelligence accepts a wide range of topics, including but not limited to:
1. Applied Artificial Intelligence and Machine Learning
Investigating the applications of AI and machine learning techniques and methods within impactful scenarios.
2. Natural Language Processing and its applications
Exploring the state-of-the-art applications of Natural Language Processing, including novel frameworks and theories to enable impactful applications.
3. Generative AI
Advancing the use of Generative AI within various multidisciplinary fields and topics, such as business analytics, text, audio and image related appllications.
4. AI applications to Digital Health
Investigating impactful applications to Digital Health, including methods and techniques for reducing inefficiencies and cost whilst improving medical related systems, enhance patients’ care access, as well as medicine personalisation.
5. Engineering applications of AI, such as: robotics, smart manufacturing, smart agriculture
Exploring the applications of AI to the advancement of Industry 4.0, such as smart manufacturing and agriculture, as well as automated decision and cognitive systems applied to robotics.
All submitted manuscripts are subject to initial evaluation by the Editor and, if found suitable for further consideration, to peer review by independent, anonymous expert reviewers.
*Please note that Applied Artificial Intelligence converted to a full Open Access journal from Volume 36 (2022).
Publication office: Taylor & Francis, Inc., 530 Walnut Street, Suite 850, Philadelphia, PA 19106
Readership: Researchers involved with artificial intelligence, robotics, and computers; R & D personnel; consultants; AI hardware/software vendors; and academics in the fields of AI, computer science, CAD, CAM, and management engineering.
Journal metrics
Usage
674K annual downloads/views
Citation metrics
2.9 (2023) Impact Factor
Q2 Impact Factor Best Quartile
3.0 (2023) 5 year IF
5.2 (2023) CiteScore (Scopus)
Q2 CiteScore Best Quartile
0.989 (2023) SNIP
0.598 (2023) SJR
Speed/acceptance
40 days avg. from submission to first
decision
133 days avg. from submission to first
post-review decision
11 days avg. from acceptance to online
publication
20% 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.
Muhammad Asif –National Textile University, Faisalabad, Pakistan S. Ronald Brachman -AT & T Labs Research, Florham Park, NJ, USA Debjani Chakraborty - Indian Institute of Technology, Kharagpur, India Cheng Siong Chin - Newcastle University in Singapore, Singapore Yoichi Hayashi - Meiji University, Tokyo, Japan Bin He – Shanghai University, Shanghai, China Douglas B. Lenat -Cycorp, Inc., Austin, TX, USA Andreas Martin - FHNW University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland Binh P. Nguyen – Victoria University of Wellington, Wellington, New Zealand Nonso Nnamoko – Edge Hill University, Ormskirk, UK Nikolaos Polatidis - University of Brighton, UK Daniele Scrimieri – University of Bradford, Bradford, UK Josue Antonio Nescolarde Selva - University of Alicante, Spain
EDITORIAL BOARD
Luigia Carlucci Aiello -University of Rome, Italy Hendrik Blockeel -Katholieke Universiteit Leuven, Belgium Ernst Buchberger -University of Vienna, Austria Stefano A. Ceri -Politecnico di Milano, Milan, Italy Marie-Odile Cordier -IRISA, University of Rennes, France Johannes Fuernkranz -Technical University of Darmstadt, Germany Andreas Geyer-Schulz -University of Karlsruhe, Germany Eva Hajicova -Charles University, Prague, Czech Republic Nada Lavrac -Jozef Stefan Institute, Ljubljana, Slovenia Miroslav Kubat -University of Miami, USA Pattie Maes -Media Laboratory, MIT, Cambridge, MA, USA Karel Oliva -The Academy of Sciences of the Czech Republic, Czech Republic Luc Steels -Free University of Brussels, Belgium, and SONY Computer Science Laboratory, Paris, France Harald Trost -Medical University of Vienna, Vienna, Austria
Founding Editor
Robert Trappl - Austrian Research Institute for Artificial Intelligence and University of Vienna
Abstracting and indexing
Abstracted and/or indexed in: Clarivate Analytics Science Citation Index Expanded (SCIE); Association of Computing Machinery: Guide to Computing Literature; CompuMath Citation Index; Computing & Technology; Current Contents/ Engineering; CSA: Biology Sciences Database, Computer Abstracts, Computer & Information Systems Abstracts, Electronics & Communications Abstracts, Mechanical Engineering Database, Pollution Abstracts, Risk Abstracts, and Safety & Risk Assessment Abstracts; e-psyche; Emerald Abstracting & Indexing Services: Computer Abstracts International Database; Engineering Information Inc.; INSPEC; Scopus; Directory of Open Access Journals (DOAJ) and PsycINFO.
Open access
Applied Artificial Intelligence is an open access journal and only publishes open access articles. 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)
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. Discounts and waivers may also be available for researchers in selected countries when publishing in open access journals.
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