Big Data

Mary Ann Liebert, Inc.

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About the journal

Big Data is a journal published by Mary Ann Liebert, Inc. in United States. It is listed in MEDLINE and PUBMED according to the sources read. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
Mary Ann Liebert, Inc.
ISSN
2167-6461 · 2167-647X
Country
United States
Access
Not open access / not declared

Index listings

  • MEDLINE · 2016-01-01
  • PUBMED · 2013-09-10
Indexing
MEDLINE · PUBMED
APC
—
Declared review time (DOAJ)
—
Activity (OpenAlex)
Active — latest works 2026
PublishLens list status
Shown after sign-in
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Methodology signals (dated facts from their sources)

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Journal profile

Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.

Works in OpenAlex

944

Last recorded publication year

2026

Reported by OpenAlex in 1 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core

h-index

54

i10-index

225

From OpenAlex open data (CC0).

Editorial & policy5
Observed digital preservation (Keepers registry)— snapshot 2026-10-05
CLOCKSSPortico
Norwegian register (HK-dir)— 2026
Level 1 — approved scholarly channel
Open references deposited at Crossref
96%
ORCID iDs in current deposits
78%
Enrolled in Crossref Similarity Check
✓
Deposits licence metadata at Crossref
✓
Identity & continuity2
Source type
journal
NLM unique ID (PubMed)
101631218
Classification(no data)

No data available to the platform for this group

No platform data for: Classification — absence is not a judgment about the journal.

Subject areas

  • Big Data and Business Intelligence
  • Big Data and Business Intelligence
  • Cloud Computing and Resource Management
  • Cloud Computing and Resource Management
  • Big Data Technologies and Applications
  • Big Data Technologies and Applications
  • Complex Network Analysis Techniques
  • Complex Network Analysis Techniques
Show all subjects (50)
  • Data Quality and Management
  • Data Quality and Management
  • IoT and Edge/Fog Computing
  • IoT and Edge/Fog Computing
  • Data Management and Algorithms
  • Data Management and Algorithms
  • Anomaly Detection Techniques and Applications
  • Anomaly Detection Techniques and Applications
  • Data Visualization and Analytics
  • Privacy-Preserving Technologies in Data
  • Privacy-Preserving Technologies in Data
  • Data Visualization and Analytics
  • Human Mobility and Location-Based Analysis
  • Human Mobility and Location-Based Analysis
  • Distributed and Parallel Computing Systems
  • Distributed and Parallel Computing Systems
  • Artificial Intelligence in Healthcare
  • Artificial Intelligence in Healthcare
  • Geographic Information Systems Studies
  • Scientific Computing and Data Management
  • Data-Driven Disease Surveillance
  • Stock Market Forecasting Methods
  • Data-Driven Disease Surveillance
  • Imbalanced Data Classification Techniques
  • Advanced Graph Neural Networks
  • Data Mining Algorithms and Applications
  • Imbalanced Data Classification Techniques
  • Scientific Computing and Data Management
  • Geographic Information Systems Studies
  • Data Mining Algorithms and Applications
  • Advanced Graph Neural Networks
  • Stock Market Forecasting Methods
  • Digital Marketing and Social Media
  • Machine Learning and Data Classification
  • Digital Marketing and Social Media
  • Machine Learning and Data Classification
  • Digital Innovation in Industries
  • Sentiment Analysis and Opinion Mining
  • Digital Innovation in Industries
  • Sentiment Analysis and Opinion Mining
  • Machine Learning in Healthcare
  • Machine Learning in Healthcare

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The journal's record in other sources:Web of Science MJLDOAJ

Everything shown here is produced automatically from named sources (DOAJ, OpenAlex, Crossref, PubMed, the Norwegian register) as of its capture date, with no human editing. Facts appear as recorded at the source; derived scores (PCI, PTD, PublishLens score) follow a published methodology. Not a judgement on the journal, not an official accreditation, not advice.

Wrong items are corrected automatically by re-reading the source (24 h for daily sources, 7 days for weekly ones) with a dated change log, and each item links to its source record. PublishLens-derived assessments are contested through the appeals mechanism (15 working days). Appeals · Indicator guide

Norwegian register data: Kanalregisteret (HK-dir, Norway) — CC BY 4.0 / NLOD — adapted: level extracted per year · OASPA member list — CC BY

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