Journal Title
Big Data

BIG DATA-US

ISSN / eISSN
2167-6461 / 2167-647X
Aims and Scope
Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. The Journal addresses questions surrounding this powerful and growing field of data science and facilitates the efforts of researchers, business managers, analysts, developers, data scientists, physicists, statisticians, infrastructure developers, academics, and policymakers to improve operations, profitability, and communications within their businesses and institutions.

Spanning a broad array of disciplines focusing on novel big data technologies, policies, and innovations, the Journal brings together the community to address current challenges and enforce effective efforts to organize, store, disseminate, protect, manipulate, and, most importantly, find the most effective strategies to make this incredible amount of information work to benefit society, industry, academia, and government.

Big Data coverage includes:
Big data industry standards,
New technologies being developed specifically for big data,
Data acquisition, cleaning, distribution, and best practices,
Data protection, privacy, and policy,
Business interests from research to product,
The changing role of business intelligence,
Visualization and design principles of big data infrastructures,
Physical interfaces and robotics,
Social networking advantages for Facebook, Twitter, Amazon, Google, etc,
Opportunities around big data and how companies can harness it to their advantage.
Subject Area

COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

COMPUTER SCIENCE, THEORY & METHODS

CiteScore
6.90 View Trend
CiteScore Ranking
Category Quartile Rank
Computer Science - Computer Science Applications Q1 #164/792
Computer Science - Information Systems Q1 #83/379
Computer Science - Information Systems and Management Q1 #31/140
Web of Science Core Collection
Science Citation Index Expanded (SCIE) Social Sciences Citation Index (SSCI)
Indexed -
Category (Journal Citation Reports 2023) Quartile
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS - SCIE Q2
COMPUTER SCIENCE, THEORY & METHODS - SCIE Q1
H-index
17
Country/Area of Publication
UNITED STATES
Publisher
Mary Ann Liebert Inc.
Annual Article Volume
40
Open Access
NO
Contact
140 HUGUENOT STREET, 3RD FL, NEW ROCHELLE, USA, NY, 10801
Verified Reviews
Note: Verified reviews are sourced from across review platforms and social media globally.
I do not recommend this journal. The editor has an arrogant attitude. I submitted my manuscript two months ago, and the editor rejected it, claiming they did not see the main article. Firstly, they did receive my main article, but they failed to acknowledge it. Secondly, why did they take two months to reject it with this reason?
2023-07-28

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