verified SJR 0,692 · Q2 • database Scopus / SJR & Web of Science indexed

United States · Mary Ann Liebert Inc.

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Big Data

Big Data is a journal indexed in SJR in Information Systems and Computer Science Applications with an H index of 45. It has an SJR impact factor of 0,692 and it has a best quartile of Q2. It has an SJR impact factor of 0,692.

ISSN: 2167-6461

Editorial: Mary Ann Liebert Inc.

Category: Information Systems

Indexation: verifiedScopus / SJR verifiedWeb of Science

Unclaimed profile — some fields may be incomplete.

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schedule Datos CoP · solo campos en BD

SJR Impact Factor trending_up

0,692 Q2

H-index 45

Tasa de Aceptación pie_chart

35%

Fuente Acceptance_Rate

Tiempo a publicación hourglass_top

NPD

Campo Sin dato

Coste de Publicación (APC) payments

NPD Subscription

Ruta Non-OA NPD

Metrics

Campos Scimago / CoP — sin series inventadas

Scopus / SJR Web of Science

SJR Impact

0,692

H-index

Docs (year)

Docs 3y

133

Total refs

2348

Cites 3y

551

Citable 3y

127

Cites/Doc 2y

2.53

Ref/Doc

49.96

Immediate OA

—

Embargoed OA

NPD

Non OA / Submission

—

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Best articles by citations

Big Data in Aging Research: An Interview with Aubrey de Grey

Why Big Data = Big Deal

Call for Papers: Special Issue on Social and Technical Trade-Offs

Call for Papers: Special Issue on Profit-Driven Analytics

Call for Papers: Special Issue on Computational Propaganda and Political Big Data

Call for Papers: Special Issue on Big Data in Robotics

Bring it on, Big Data: Beyond the Hype

Book Interview: Critical Infrastructures Resilience: Policy and Engineering Principles

Bigger is Better, but at What Cost?Estimating the Economic Value of Incremental Data Assets

Big Data, Efficient Markets, and the End of Daily Fantasy Sports As We Know It?

SHOW MORE ARTICLES

Big Data is Rocket Fuel

A Bayesian Approach to Learning Scoring Systems

Big Data for Social Good

Big Data and the Rise of Machines in Financial Markets

Big Data 2.0: Cataclysm or Catalyst?

Authors' Response to Gong's, "Comment on Data Science and its Relationship to Big Data and Data-Driven Decision Making"

An Interview with Duncan Watts

An Experience-Centered Approach to Training Effective Data Scientists

A Supervised Learning Process to Validate Online Disease Reports for Use in Predictive Models

A Revolution That Will Transform How We Live, Work, and Think: An Interview with the Authors of Big Data

A Literature Survey and Experimental Evaluation of the State-of-the-Art in Uplift Modeling: A Stepping Stone Toward the Development of Prescriptive Analytics

A Data Snapshot Approach for Making Real-Time Predictions in Basketball

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