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Big Data

出版年份:暂无数据 年文章数:286 投稿命中率: 开通期刊会员,数据随心看

出版周期:Quarterly 自引率:7.1% 审稿周期: 开通期刊会员,数据随心看

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期刊简介

期刊简介
GetPortalImpactFactorByIdResp(projectId=1, id=6ff312771, cover=https://img.medsci.cn/images/journal/cover/2021/hLh_202109271314287400.jpg, fullname=Big Data, abbr=BIG DATA-US, pyear=暂无数据, frequence=Quarterly, articleNumbers=286, citedSelf2015=7.1, acceptanceRate=null, submissionToAcceptance=null, averageReviewTime=平均2月, reviewFee=null, pageFee=null, publishedRatio=2023年中国人文章占该期刊总数量暂无数据 (2022年为100.00%), issn=2167-6461, greenSci=https://www.greensci.net/search?kw=2167-6461, scijournal=https://www.scijournal.org/impact-factor-of-BIG-DATA-US.shtml, medsciHotlightString=null, medsciHotlightRealtime=1.378, medsciHotlight=2.773, medsciHotlight5year=2.30167, citescore=9.1, hIndex=27, impactFactor=4.6, orgnization=Mary Ann Liebert Inc., orgnizationUrl=http://www.liebertpub.com, country=United States, countryCn=美国, isOa=0, isOaString=否, sciScie=PubMed Central|Science Citation Index Expanded|Journal Citation Reports/Science Edition|Emerging Sources Citation Index, bigclassCas=工程技术 4区, smallclassCas=工程技术 3 区, website=https://www.ibm.com/big-data/us/en/, websiteHits=1189, guideForAuthor=http://www.liebertpub.com/forauthors/big-data/611/, guideForAuthorHits=253, submitWebsite=https://www.liebertpub.com/forauthors/big-data/611/, submitWebsiteHits=1001, content=<!--ewebeditor:page title=""--> <div class="content overview" style="margin: 12px 18px 0px 0px; padding: 0px; color: rgb(51, 51, 51); font-family: Verdana, Geneva, sans-serif;"><p style="margin: 9px 0px; padding-right: 24px;"><em><strong>Big Data</strong></em>, a highly innovative, peer-reviewed journal, provides a unique forum for world-class research exploring the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data, including data science, big data infrastructure and analytics, and pervasive computing.</p><p style="margin: 9px 0px; padding-right: 24px;">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.<br><br>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.</p><h4 style="padding: 8px 0px; margin: 0px; line-height: 12px;"><em>Big Data</em> coverage includes:</h4><ul style="padding: 0px; margin: 0px; line-height: 12px; list-style: none;"><li style="padding: 0px; margin: 0px 3em; line-height: 15px; list-style-type: disc;">Big data industry standards</li><li style="padding: 0px; margin: 0px 3em; line-height: 15px; list-style-type: disc;">New technologies being developed specifically for big data</li><li style="padding: 0px; margin: 0px 3em; line-height: 15px; list-style-type: disc;">Data acquisition, cleaning, distribution, and best practices</li><li style="padding: 0px; margin: 0px 3em; line-height: 15px; list-style-type: disc;">Data protection, privacy, and policy </li><li style="padding: 0px; margin: 0px 3em; line-height: 15px; list-style-type: disc;">Business interests from research to product</li><li style="padding: 0px; margin: 0px 3em; line-height: 15px; list-style-type: disc;">The changing role of business intelligence</li><li style="padding: 0px; margin: 0px 3em; line-height: 15px; list-style-type: disc;">Visualization and design principles of big data infrastructures</li><li style="padding: 0px; margin: 0px 3em; line-height: 15px; list-style-type: disc;">Physical interfaces and robotics</li><li style="padding: 0px; margin: 0px 3em; line-height: 15px; list-style-type: disc;">Social networking advantages for Facebook, Twitter, Amazon, Google, etc.</li><li style="padding: 0px; margin: 0px 3em; line-height: 15px; list-style-type: disc;">Opportunities around big data and how companies can harness it to their advantage</li></ul><p style="margin: 9px 0px; padding-right: 24px;"><em><strong>Big Data</strong> </em>is under the editorial leadership of Editor-in-Chief <strong>Vasant Dhar, PhD</strong>, Stern School of Business, New York University, and other leading investigators. View the entire  <a href="http://www.liebertpub.com/editorialboard/big-data/611/" target="_blank" style="color: rgb(3, 3, 229); text-decoration: none;">editorial board</a>.</p><p style="margin: 9px 0px; padding-right: 24px;"><strong>Audience:</strong> Data miners, computer scientists, statisticians, researchers, chief data scientists, database engineers, software engineers, web developers, policy makers, CEOs of data startups, professors of computer science, mathematics, physics, statistics, and computational biology, among others.</p></div> <!--/ewebeditor:page--> <!--ewebeditor:page title=""--> <div id="ContentPlaceHolder1_PublicationContent_IndexedIn1_dContent" style="color: rgb(51, 51, 51); font-family: Verdana, Geneva, sans-serif;"><h3 style="padding: 8px 0px; margin: 0px; line-height: 12px; font-size: 12px;">Indexed/Abstracted in:</h3><em>PubMed Central;</em> <em>Science Citation Index Expanded;</em> <em>Journal Citation Reports/Science Edition;</em> <em>Emerging Sources Citation Index</em></div> <!--/ewebeditor:page--> , totalCites=1318, brief=BIG DATA-US杂志工程技术行业,暂不明确子行业的级别不明杂志, articleType=绝大部分收录论著,也接收少量其它类型文章, medsciHeat=<span style="color: #990000;">暗红</span>, medsciComment=BIG DATA-US杂志级别还可以,但是相对来说,比较冷门,关注人数偏少,有些可能是国内不太熟悉,但该杂志在国际仍然有相当知晓度的。因为缺少中国人投稿,稿源可能未必丰富,发表有可能有很大的机会哦。, medsciExplanation=MedSci期刊指数是根据中国科研工作者(含医学临床,基础,生物,化学等学科)对SCI杂志的认知度,熟悉程度,以及投稿的量等众多指标综合评定而成。当然,具体的,您还可以结合“<a href='//www.sandwebs.com/sci/submit.do?id=6ff312771'>投稿经验系统</a>”,进行综合判断,这更是大家的实战经验,值得分享和参考。<br> 注意,上述MedSci期刊指数采用MedSci专利技术,由计算机系统自动计算,并给出建议,存在不准确的可能,仅供您投稿选择杂志时参考。, tags=[ImpactFactorTagDto(id=15055, tagName=大数据, createdHits=1)], citeScoreList=[GetImpactFactorCiteScoreListResponse(year=2017, citescore=1.52), GetImpactFactorCiteScoreListResponse(year=2018, citescore=2.43), GetImpactFactorCiteScoreListResponse(year=2019, citescore=5.6), GetImpactFactorCiteScoreListResponse(year=2020, citescore=6.2), GetImpactFactorCiteScoreListResponse(year=2023, citescore=9.1)], medsciIndexList=[GetImpactFactorMedsciIndexListResponse(year=2020, medsciHotlight=1.712), GetImpactFactorMedsciIndexListResponse(year=2021, medsciHotlight=2.598), GetImpactFactorMedsciIndexListResponse(year=2022, medsciHotlight=2.134), GetImpactFactorMedsciIndexListResponse(year=2023, medsciHotlight=1.585), GetImpactFactorMedsciIndexListResponse(year=2024, medsciHotlight=1.378)], citeScoreGradeList=[GetImpactFactorCiteScoreGradeResponse(smallClass=Decision Sciences - Information Systems and Management , rank=24/98), GetImpactFactorCiteScoreGradeResponse(smallClass=Computer Science - Information Systems , rank=74/269), GetImpactFactorCiteScoreGradeResponse(smallClass=Computer Science - Computer Science Applications , rank=176/569)], totalJcrAreaList=[], pmcUrl=https://www.ncbi.nlm.nih.gov/nlmcatalog?term=2167-6461[ISSN], pubmedUrl=https://www.ncbi.nlm.nih.gov/pubmed?cmd=search&term=Big Data[ta], article_number=35, article_number_cn=11, earlyWarning=null, linkOutUrl=null, isJournalMember=false, unscrambleContent=null, dayViewCount=false, endexampletyle=暂无数据)
期刊名称
BIG DATA-US/Big Data
ISSN
2167-6461
影响指数话题
预警等级
MedSci期刊指数
1.378 (MedSci实时期刊指数) | 2.30167 (5年期刊指数)
CiteScore值
9.1
h-index
27
h5-median
暂无数据
出版社/管理机构
杂志由 Mary Ann Liebert Inc. 出版或管理
出版国家/地区
United States 美国
出版周期
Quarterly
出版年份
暂无数据
是否OA
被收录情况
PubMed Central|Science Citation Index Expanded|Journal Citation Reports/Science Edition|Emerging Sources Citation Index
JCR分区
暂无数据
中科院分区
大类:工程技术 4区
小类:工程技术 3 区
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