HomeSearchComputational Methods in Social Sciences

Computational Methods in Social Sciences

"Nicolae Titulescu" University of Bucharest · Romania

eISSN2344-1232
DOAJOpen Access
52
/ 100
Established
PubScope credibility score from verifiable indexing & ethics signals
Score Breakdown
DOAJ-listed52
Total52

Aims & Scope

Computational Methods in Social Sciences is an open access, peer reviewed journal with a semiannual frequency. CMSS is aimed to publish papers on information technology, statistics, computational methods and quantitative analysis applied in social sciences. During the last years social sciences have witnessed an exponential growth of data that have to be processed. Analysis of social infrastructure and networks, streaming data that come from online surveys produce a tremendous volume of data. Many computer scientists, statisticians, mathematicians have focused on designing new statistical and modeling approaches to find the underlying structure of data. CMSS promotes insight and understanding of the state of the art in the field of computational methods applied in modern social sciences and includes original research and innovative applications from all parts of the world. CMSS is an English language journal published by “Nicolae Titulescu” University Editorial House and it is an international forum for all computer scientists, statisticians, mathematicians and social scientists involved in the area of developing new tools and computational methods in the context of the modern social science data sets. The journal publishes survey and review articles from experts in the field and original research papers. Only original and previously unpublished papers will be considered by CMSS. Selected conference papers with exceptional merit are also subject to be published by the CMSS journal.

General Information

Country / RegionRomania
Primary LanguageEnglish
1st Year Published
Frequencysemiannual
StatusActive
Total Publications
Visit Journal Website

Submission Info

Peer ReviewDouble anonymous peer review
Review Time
Acceptance Rate
OA LicenseCC BY-SA
OA Rate

Ethics & Quality

COPE Member✗ No
OASPA Member✗ No
Not on Predatory Lists✓ Yes

Think.Check.Submit Compliance

8/12 · 67%
Do you know the journal / publisher?
"Nicolae Titulescu" University of Bucharest
Does the journal have a website?
✓ Linked
Is the ISSN verified?
2344-1232
Indexed in a trusted database?
DOAJ
Peer review process documented?
Double anonymous peer review
Follows ethical publishing standards (COPE)?
N/A
APC fees clearly disclosed?
N/A
Not on predatory/blacklists?
✓ Clean
Long-term digital preservation?
N/A
Plagiarism detection in place?
N/A
Listed in DOAJ (verified OA)?
DOAJ verified
Primary language documented?
English

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Frequently asked questions about Computational Methods in Social Sciences

Is Computational Methods in Social Sciences a predatory journal?

PubScope has no integrity flags on record for Computational Methods in Social Sciences: it is indexed in DOAJ, and is not on DOAJ's withdrawn list. Its PubScope Trust Score is 52/100. Indexing is a transparency signal, not a guarantee — always confirm fit and policies before submitting.

What is the impact factor of Computational Methods in Social Sciences?

Computational Methods in Social Sciences is not in the Web of Science Core Collection, so it has no official Clarivate Journal Impact Factor.

Is Computational Methods in Social Sciences indexed in Scopus and Web of Science?

Computational Methods in Social Sciences is indexed in DOAJ.

What is the aims and scope of Computational Methods in Social Sciences?

Computational Methods in Social Sciences is an open access, peer reviewed journal with a semiannual frequency. CMSS is aimed to publish papers on information technology, statistics, computational methods and quantitative analysis applied in social sciences. During the last years social sciences have witnessed an exponential growth of data that have to be processed. Analysis of social infrastructure and networks, streaming data that come from online surveys produce a tremendous volume of data. Many computer scientists, statisticians, mathematicians have focused on designing new statistical and

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Data updated: 2026-05-26 · Sources: SJR, DOAJ, OpenAlex, WoS, Crossref