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Synthesis Lectures on Artificial Intelligence and Machine Learning

Springer International Publishing · United States · Est. 2007

ISSN1939-4616

SJR Q4✓ Scopus / SJR

/ 100

Established

PubScope credibility score from verifiable indexing & ethics signals

Score Breakdown

◆ Scopus Q446

Total46

Third-party records · how this is calculated · Report an error →

⚡ Speed vs Prestige

How does this journal balance review speed with impact level?

Publication speed: not measurable

publisher doesn’t disclose per-article submission dates — we never estimate

SJR Rank

Bottom 25%

Journal Impact Factor

Not on record at PubScope. The Journal Impact Factor is published by Clarivate for Web of Science (JCR)–indexed journals. If this journal has one, it appears on the journal’s page ↗

SJR Scorei

0.232

H-Indexi

CiteScore

View ↗

Scopus metric · on the journal’s page

Total Worksi

573

Total Citationsi

14,357

2yr Mean Citednessi

0.67

Open Impact Factor alternative

Aims & Scope✦ Compiled from public sources

Synthesis Lectures on Artificial Intelligence and Machine Learning publishes short books on research and development in artificial intelligence and machine learning. The series is intended for researchers, developers, and advanced students.

AI-compiled from public web sources · verify on publisher page →

General Information

Country / RegionUnited States

Primary Language—

1st Year Published2007

Annual Volume~ 15 articles / year

StatusActive (last: 2024)

Total Publications573

Publisher OrgMorgan & Claypool Publishers

Visit Journal Website

Submission Info

Peer Review—

Review Time—

Acceptance Rate—

OA License—

OA Rate—

Ethics & Quality

COPE Member✗ No

OASPA Member✗ No

Not on Predatory Lists✓ Yes

Think.Check.Submit Compliance

thinkchecksubmit.org

5/12 · 42%

✅

Do you know the journal / publisher?

Springer International Publishing

✅

Does the journal have a website?

✓ Linked

✅

Is the ISSN verified?

1939-4616

✅

Indexed in a trusted database?

Scopus

❌

Peer review process documented?

N/A

❌

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)?

N/A

❌

Primary language documented?

N/A

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

Publication & Citation Trend

Articles published

Citations received

511

2017

886

2018

534

2019

2.3k

2020

2021

2022

2023

2024

Source: OpenAlex · Each year’s green bar = citations earned by that year’s papers, counted to date — so recent years look lower simply because their papers haven’t had time to be cited yet.

SJR Quartile by Discipline

Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.

Artificial IntelligenceQ4

Subject Classification

Scopus Categories

Artificial Intelligence

Research Topics (OpenAlex)

Logic, Reasoning, and KnowledgeAI-based Problem Solving and PlanningBayesian Modeling and Causal InferenceConstraint Satisfaction and OptimizationAdvanced Graph Neural NetworksGame Theory and ApplicationsReinforcement Learning in RoboticsSemantic Web and OntologiesMachine Learning and AlgorithmsMachine Learning and Data Classification

Frequently asked questions about Synthesis Lectures on Artificial Intelligence and Machine Learning

Is Synthesis Lectures on Artificial Intelligence and Machine Learning a predatory journal?

PubScope has no integrity flags on record for Synthesis Lectures on Artificial Intelligence and Machine Learning: it is indexed in Scopus, and is not on DOAJ's withdrawn list. Its PubScope Trust Score is 46/100. Indexing is a transparency signal, not a guarantee — always confirm fit and policies before submitting.

What is the impact factor of Synthesis Lectures on Artificial Intelligence and Machine Learning?

Synthesis Lectures on Artificial Intelligence and Machine Learning is not in the Web of Science Core Collection, so it has no official Clarivate Journal Impact Factor. Its SCImago SJR score is 0.232.

Is Synthesis Lectures on Artificial Intelligence and Machine Learning indexed in Scopus and Web of Science?

Synthesis Lectures on Artificial Intelligence and Machine Learning is indexed in Scopus.