About this journal

Aims and scope

Please note, from 2022 the Print ISSN is not in active use as this journal is no longer published in print.

Connection Science is an interdisciplinary journal dedicated to exploring the convergence of the analytic and synthetic sciences, including neuroscience, computational modelling, artificial intelligence, machine learning and deep learning.

A strong focus is on the articles arising from connectionist, probabilistic, dynamical, or evolutionary approaches in aspects of Computer Science, applied applications, and systems-level computational subjects that seek to understand models in science and engineering.

*Please note that Connection Science converted to a full Open Access journal from Volume 34 (2022).

Journal metrics

Usage

  • 262K annual downloads/views

Citation metrics

  • 3.2 (2023) Impact Factor
  • Q2 Impact Factor Best Quartile
  • 3.1 (2023) 5 year IF
  • 6.5 (2023) CiteScore (Scopus)
  • Q2 CiteScore Best Quartile
  • 1.021 (2023) SNIP
  • 0.763 (2023) SJR

Speed/acceptance

  • 36 days avg. from submission to first decision
  • 76 days avg. from submission to first post-review decision
  • 14 days avg. from acceptance to online publication
  • 43% acceptance rate

Editorial board

EDITOR-IN-CHIEF

Tim C Pearce
University of Leicester
UK

FOUNDING EDITOR

Noel E. Sharkey
University of Sheffield
UK

ADVISORY BOARD

Albert Y. Zomaya
The University of Sydney
Australia

Berndt 'Bertie' Müller

Swansea University
UK

Bin Hu
Lanzhou University
China

Chein-I Chang
University of Maryland, Baltimore County
USA

Hai Jin
Huazhong University of Science and Technology
China

Jianhua Ma
Hosei Unversity
Japan

Stefan Wermter
University of Hamburg
Germany

Yi Pan
Georgia State University
USA


EDITORS

Al-Sakib Khan Pathan
United International University
Bangladesh

Andreas Theodorou  
Universitat Politècnica de Catalunya
Spain

Aneta Poniszewska-Maranda
Lodz University of Technology
Poland

Anna Kobusinska
Poznan University of Technology
Poland

Bakhtiar Affendi Rosdi
Universiti Sains Malaysia
Malaysia

Beniamino Di Martino
Universita' della Campania "Luigi Vanvitelli"
Italy

Ciprian Dobre
University Politehnica of Bucharest
Romania

Eduard Mehofer
University of Vienna
Austria

Flavio Keidi Miyazawa
UNICAMP
Brazil

Gian Luca Brunetti
Polytecnic University of Milan
Italy

Hong-Ning Dai
Hong Kong Baptist University
Hong Kong SAR, China

Jiang Xiao
Huazhong University of Science and Technology
China

Mirjana Ivanovic
University of Novi Sad
Serbia

Mohammad Majid al-Rifaie
University of Greenwich
UK

Muhammad Khurram Khan
King Saud University
Saudi Arabia

Nitin Sukhija
Slippery Rock University of Pennsylvania
USA

Raphaël Couturier
University of Franche-Comté
France

Ryan Ko
University of Queensland
Australia

Sabu M Thampi
Kerala University of Digital Sciences, Innovation, and Technology, Trivandrum
India

Scott Fowler
Linköping University
Sweden

Stefano Nolfi
Consiglio Nazionale delle Ricerche
Italy

Suzhen Wu
Xiamen University
China


Tim C Pearce
University of Leicester
UK

Weizhi Meng
Technical University of Denmark
Denmark

Wenjuan Li
Hong Kong Polytechnic University
China

Xianjun Deng
Huazhong University of Science and Technology
China

Xiaofeng Chen
Xidian University
China

Xiaokang Wang
St. Francis Xavier University
Canada

Xiaokang Zhou
Shiga University
Japan

Yiu-Ming Cheung
Hong Kong Baptist University
Hong Kong SAR, China

Zakirul Alam Bhuiyan
Fordham University
USA

Abstracting and indexing

Connection Science is indexed and abstracted in:

ACM Digital Library
British Library
CLOCKSS
CrossRef
Current Contents - Engineering, Computing & Technology (Thomson Reuters)
DBLP Computer Science Bibliography (University of Trier)
EBSCO - Applied Science & Technology Source
EBSCO - Academic Search Complete
EBSCO - STM Source
Ei Compendex/ Engineering Village (Elsevier)
E-LIB (University of Bremen)
Excellence in Research for Australia (ERA)
Google Scholar
Inspec (The IET)
Microsoft Academic
Naver Corporation
Portico
ProQuest - ProQuest Central
ProQuest - Research Library
ProQuest - SciTech Premium Collection
ProQuest - Technology Collection
PsycINFO (American Psychological Association)
SAO/NASA Astrophysics Data System Abstract Service
Science Citation Index (Thomson Reuters)
Science Citation Index Expanded (Thomson Reuters)
Scopus (Elsevier)
Ulrich's Periodicals Directory
Web of Science (Thomson Reuters)
WorldCat Local (OCLC)
Zetoc

Open access

Connection Science 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?

  1. Increase the discoverability and readership of your article
  2. Make an impact and reach new readers, not just those with easy access to a research library
  3. Freely share your work with anyone, anywhere
  4. Comply with funding mandates and meet the requirements of your institution, employer or funder
  5. 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.

Use our APC finder to calculate your article publishing charge

News, offers and calls for papers

News and offers

  • Announcement: the journal is currently not accepting Special Issue proposals. We apologise for this inconvenience.

Taylor & Francis make every effort to ensure the accuracy of all the information (the "Content") contained in our publications. However, Taylor & Francis, our agents (including the editor, any member of the editorial team or editorial board, and any guest editors), and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor & Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to, or arising out of the use of the Content. Terms & Conditions of access and use can be found at http://www.tandfonline.com/page/terms-and-conditions .

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