For more information, visit. It is measured each year by the Web of Science Group and … Follow us on @ScimagoJRScimago Lab, Copyright 2007-2020. Email(will not be published) BIG DATA RESEARCH AUTHOR INFORMATION PACK TABLE OF CONTENTS. Big Data and Cognitive Computing (ISSN 2504-2289) is an international, scientific, peer-reviewed, open access journal of big data and cognitive computing published quarterly online by MDPI.. Open Access … BioData Mining is an open access, open peer-reviewed, informatics journal encompassing research on all aspects of Artificial Intelligence (AI), Machine Learning, and Visual Analytics, applied to high-dimensional biological and biomedical data, focusing on computational aspects of knowledge discovery from large-scale genetic, genomic, metabolomic data … The purpose is to have a forum in which general doubts about the processes of publication in the journal, experiences and other issues derived from the publication of papers are resolved. Impact Factor: *3.644 *2019 Journal Citation Reports (Clarivate, 2020) CiteScore™: 5.6 The leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic. Read the latest articles of Big Data Research at, Elsevier’s leading platform of peer-reviewed scholarly literature Skip to Journal menu Skip to All issues ScienceDirect This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Country: United States - 21. Help expand a public dataset of research that support the SDGs. View editorial board. Go, Reference Architecture and Classification of Technologies, Products and Services for Big Data Systems, Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration, Variations on the Clustering Algorithm BIRCH, PXDedup: Deduplicating Massive Visually Identical JPEG Image Data, Knowledge Graph-Based Spatial-Aware User Community Preference Query Algorithm for LBSNs, Flexible Subspace Clustering: A Joint Feature Selection and K-Means Clustering Framework, A Novel Clustering Method Using Enhanced Grey Wolf Optimizer and MapReduce, Frequent Itemsets Mining for Big Data: A Comparative Analysis, Insights into Antidepressant Prescribing Using Open Health Data, Big Data for Supporting Low-Carbon Road Transport Policies in Europe: Applications, Challenges and Opportunities, In support of equality, inclusion & diversity, Visibility. Editors-in-Chief: H. Chen, T. Palpanas. The International Journal of Biomedical Data Mining (JBDM) is a scholarly open access, peer-reviewed, and fully refereed journal which publishes original research papers on valuable algorithms, methods and software tools in the fields of data mining, knowledge discovery, data … 70% of the respondents state that their Big Data investments impact business innovation positively. Q1 (green) comprises the quarter of the journals with the highest values, Q2 (yellow) the second highest values, Q3 (orange) the third highest values and Q4 (red) the lowest values. The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. Ten journals are ranked in the first quartile in at least one of the categories to which it belongs; and nine journals have received a first Impact Factor in this year's JCR release: Cancers, Journal of Clinical … To promote Data Science and interdisciplinary collaboration between fields, and to showcase the benefits of data driven research, papers demonstrating applications of big data in domains as diverse as Geoscience, Social Web, Finance, e-Commerce, Health Care, Environment and Climate, Physics and Astronomy, Chemistry, life sciences and drug discovery, digital libraries and scientific publications, security and government will also be considered. The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic. Focus on the big data industry: alive and well but changing. With today’s technology, it’s possible to analyze your data and get answers from it almost … IEEE websites place cookies on your … The … Big Data Mining and Analytics discovers hidden patterns, correlations, insights and knowledge through mining and analyzing large . The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric. Smart cities and construction: advances, visualisation, novel applications and case studies Big Earth Data Intelligence - The Convergence Between Big Earth Data and Artificial Intelligence Big Earth Data for Culture Heritage Observations, Remote Sensing Experiments and Geophysical Value-added Datasets for Cold High Mountain and Polar Regions Remotely Sensed Big Data … The journal will accept papers on foundational aspects in dealing with big data, as well as papers on specific Platforms and Technologies used to deal with big data. Big Data - Journal Impact The Journal Impact 2019-2020 of Big Data is 2.540, which is just updated in 2020. Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years. If you require any further information or help, please visit our Support Center. Big Data Research - Journal Impact The Journal Impact 2019-2020 of Big Data Research is 3.640, which is just updated in 2020. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. 不论您是正在查找出版流程的信息还是忙于撰写下一篇稿件,我们都随时待命。下面我们将重点介绍一些可以在您的科研旅程中对您提供支持的工具。, Below is a recent list of 2019—2020 articles that have had the most social media attention. The Plum Print next to each article shows the relative activity in each of these categories of metrics: Captures, Mentions, Social Media and Citations. Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal. Containing big information and big knowledge, big data does indeed have big … The scope of the journal includes descriptions of data … XXX. 16 Early examples of how the use of big data can impact health research … Data Source: Scopus®, Metrics based on Scopus® data as of April 2020. Impact Factor: 2.673 ℹ Impact Factor: 2019: 2.673 The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding … Elsevier stands against racism and discrimination and fully supports the joint commitment for action in inclusion and diversity in publishing. Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. It is frequently used as a proxy for the relative importance of a journal within its field; journals with higher impact … Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. Discover how our open access options can help you maximize reach and impact, Copyright © 2020 Elsevier B.V. • Description • Impact Factor • Abstracting and Indexing • Editorial Board • Guide for Authors p.1 p.1 p.1 p.2 p.3 ISSN: 2214-5796 DESCRIPTION. Compared with historical Journal Impact data, the Metric 2019 of Big Data grew by 17.59%. * Required. Careers - Terms and Conditions - Privacy Policy. The IEEE Transactions on Big Data publishes peer reviewed articles with big data as the main focus. 2.673 Impact Factor. Big Data Research. The set of journals have been ranked according to their SJR and divided into four equal groups, four quartiles. It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.