The goal of the Journal of Mathematical Sociology is to publish models and mathematical techniques that would likely be useful to professional sociologists. The Journal also welcomes papers of mutual interest to social scientists and other social and behavioral scientists, as well as papers by non-social scientists that may encourage fruitful connections between sociology and other disciplines. Reviews of new or developing areas of mathematics and mathematical modeling that may have significant applications in sociology will also be considered.
The Journal of Mathematical Sociologyis published in association with the International Network for Social Network Analysis, the Japanese Association for Mathematical Sociology, the Mathematical Sociology Section of the American Sociological Association, and the Methodology Section of the American Sociological Association.
Because Journal of Mathematical Sociology is addressed primarily to sociologists it is anticipated that most articles will be oriented toward a mathematical understanding of emergent complex social structures rather than to an analysis of individual behavior. These structures include, for example, informal groups, social networks, organizations, and global systems. Papers on sociological and statistical methods are also welcome.
Peer Review Policy:
All submitted manuscripts are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to peer review by independent, anonymous expert referees. All peer review is single anonymized and submission is online via ScholarOne Manuscripts.
Publication office: Taylor & Francis, Inc., 530 Walnut Street, Suite 850, Philadelphia, PA 19106
Journal metrics
Usage
30K annual downloads/views
Citation metrics
1.3 (2023) Impact Factor
1.2 (2023) 5 year IF
2.9 (2023) CiteScore (Scopus)
Q1 CiteScore Best Quartile
0.825 (2023) SNIP
0.358 (2023) SJR
Speed/acceptance
134 days avg. from submission to first
decision
257 days avg. from submission to first
post-review decision
18% 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.
Previous Editors Bernhardt Lieberman -1971 Gordon Lewis -1972-1979 Ralph Ginsberg -1980-1982 Patrick Doreian -1982-2005 Phillip Bonacich -2006-2015 Noah Friedkin -2016-2021 Editorial Board Peter Abell -London School of Economics and Political Science Elisa Bienenstock -Georgetown University and National Security Innovations Victor Amelkin -University of Pennsylvania Benjamin Bagozzi -University of Delaware Carter Butts -University of California, Irvine Andreas Diekmann -Federal Institute of Technology, Zurich Martin Everett - University of Manchester Andreas Flache -University of Groningen/ICS Alan GriffithUniversity of Washington Michael Hannan -Stanford University Guillermina Jasso -New York University Eugene C. Johnsen -University of California at Santa Barbara James Holland Jones -Stanford University Pete Krivitsky -University of New South Wales Kenneth Land -Duke University Noah P. Mark -University of North Carolina at Charlotte Michael Maes -University of Groningen Wenjun Mei -ETH Zurich James Moody -Duke University Heinrich H. Nax -Federal Institute of Technology, Zurich Cailin O'Connor -University of California, Irvine Dawn Robinson -University of Georgia John Skvoretz -Univeristy of South Florida Lynn Smith-Lovin -Duke University Frans N. Stokman -University of Groningen/ICS Philip Waggoner -University of Chicago Yongjun (Josh) Zhang -Stony Brook University
Abstracting and indexing
Abstracted/Indexed in:
American Mathematical Society
MathSciNet
American Statistical Association
Current Index to Statistics (Online)
EBSCOhost
Academic Search Complete
Academic Search Premier
Academic Search Corporate
Academic Search Corporate Plus
Current Abstracts
FRANCIS
Russian Academy of Sciences Bibliographies
Science and Technology Collection
SocINDEX
SocINDEX with Full Text
TOC Premier (Table of Contents)
Elsevier BV
GEOBASE
Scopus
Gale
Academic OneFile
Book Review Index Plus
InfoTrac Custom
National Library of Medicine
PubMed
OCLC
Sociological Abstracts (Online), Core
Personal Alert (E-mail)
ProQuest
Advanced Technologies & Aerospace Database
Computing Database
FRANCIS
International Bibliography of the Social Sciences, Core
Materials Science & Engineering Database
Professional ProQuest Central
ProQuest 5000
ProQuest 5000 International
ProQuest Central
ProQuest Engineering Collection
ProQuest Science Journals
ProQuest SciTech Collection
SciTech Premium Collection
Social Science Premium Collection
Social Services Abstracts, selective
Sociological Abstracts (Online), Core
Sociology Collection
Technology Collection
Thomson Reuters
Current Contents
Science Citation Index Expanded
Social Sciences Citation Index
Web of Science
Open access
The Journal of Mathematical Sociology 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.
Members of each of these groups may purchase an individual subscription at the reduced rate of $63/£38. This subscription is for individuals only and does not include online access. To subscribe, please contact our customer service department at (800) 354-1420, ext. 216 or send an email to [email protected].
Print ISSN:
0022-250X
Online ISSN:
1545-5874
4 issues per year
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