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《統(tǒng)計(jì)數(shù)學(xué)方法》(Mathematical Methods Of Statistics)是一本以STATISTICS & PROBABILITY綜合研究為特色的國際期刊。該刊由Pleiades Publishing出版商刊期4 issues per year。該刊已被國際重要權(quán)威數(shù)據(jù)庫SCIE收錄。期刊聚焦STATISTICS & PROBABILITY領(lǐng)域的重點(diǎn)研究和前沿進(jìn)展,及時(shí)刊載和報(bào)道該領(lǐng)域的研究成果,致力于成為該領(lǐng)域同行進(jìn)行快速學(xué)術(shù)交流的信息窗口與平臺(tái)。該刊2023年影響因子為0.8。CiteScore指數(shù)值為0.6。
Mathematical Methods of Statistics is an internationally renowned peer-reviewed journal that focuses on the mathematical foundations of statistical theory. This journal is committed to providing a high-quality publishing platform for academia and industry, mainly publishing rigorously proven original research papers that delve into the mathematical principles of statistics and promote cutting-edge developments in statistical theory and methods. In addition to research papers, journals occasionally publish review articles that provide in-depth analysis and insights into specific statistical issues, promoting academic discussion and understanding of statistical theory.
This journal attaches great importance to theoretical innovation in statistical application papers, encouraging contributors to reveal and develop new statistical methods while solving practical problems. In this way, the magazine not only pushes the boundaries of statistical theory, but also promotes the application of statistical methods in various disciplines, including but not limited to economics, biology, medicine, engineering, and social sciences. As a forefront of statistical research, it provides a channel for the study of advanced statistical methods, while also supporting research that effectively utilizes these methods or promotes their development. The high-quality content and strict review process of this journal ensure that the published research results have significant academic value and practical application potential, making it an important resource for statistical researchers, scholars, and practitioners.
《統(tǒng)計(jì)數(shù)學(xué)方法》是一本享有國際聲譽(yù)的同行評(píng)審期刊,專注于統(tǒng)計(jì)理論的數(shù)學(xué)基礎(chǔ)。該期刊致力于為學(xué)術(shù)界和業(yè)界提供一個(gè)高質(zhì)量的出版平臺(tái),主要刊載具有嚴(yán)謹(jǐn)證明的原創(chuàng)研究論文,這些論文深入探討統(tǒng)計(jì)學(xué)的數(shù)學(xué)原理,推動(dòng)了統(tǒng)計(jì)理論與方法的前沿發(fā)展。除了研究論文,雜志還偶爾發(fā)表評(píng)論文章,對(duì)特定統(tǒng)計(jì)問題提供深入的分析和見解,促進(jìn)學(xué)術(shù)界對(duì)于統(tǒng)計(jì)理論的討論和理解。
該期刊特別重視統(tǒng)計(jì)應(yīng)用論文中的理論創(chuàng)新,鼓勵(lì)投稿者在解決實(shí)際問題的同時(shí),揭示并發(fā)展新的統(tǒng)計(jì)方法。通過這種方式,雜志不僅推動(dòng)了統(tǒng)計(jì)理論的邊界,還促進(jìn)了統(tǒng)計(jì)方法在各學(xué)科領(lǐng)域的應(yīng)用,包括但不限于經(jīng)濟(jì)學(xué)、生物學(xué)、醫(yī)學(xué)、工程學(xué)和社會(huì)科學(xué)。作為統(tǒng)計(jì)學(xué)研究的前沿陣地,它為高級(jí)統(tǒng)計(jì)方法的研究提供了渠道,同時(shí)也為有效利用這些方法或促進(jìn)其發(fā)展的研究提供了支持。該期刊的高質(zhì)量內(nèi)容和嚴(yán)格評(píng)審流程確保了所發(fā)表的研究成果具有重要的學(xué)術(shù)價(jià)值和實(shí)際應(yīng)用潛力,是統(tǒng)計(jì)學(xué)研究者、學(xué)者和實(shí)踐者的重要資源。
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JCR分區(qū)等級(jí):Q3
按JIF指標(biāo)學(xué)科分區(qū) | 收錄子集 | 分區(qū) | 排名 | 百分位 |
學(xué)科:STATISTICS & PROBABILITY | ESCI | Q3 | 109 / 168 |
35.4% |
按JCI指標(biāo)學(xué)科分區(qū) | 收錄子集 | 分區(qū) | 排名 | 百分位 |
學(xué)科:STATISTICS & PROBABILITY | ESCI | Q4 | 150 / 168 |
11.01% |
Gold OA文章占比 | 研究類文章占比 | 文章自引率 |
0.00% | 100.00% | |
開源占比 | 出版國人文章占比 | OA被引用占比 |
名詞解釋:JCR分區(qū)在學(xué)術(shù)期刊評(píng)價(jià)、科研成果展示、科研方向引導(dǎo)以及學(xué)術(shù)交流與合作等方面都具有重要的價(jià)值。通過對(duì)期刊影響因子的精確計(jì)算和細(xì)致劃分,JCR分區(qū)能夠清晰地反映出不同期刊在同一學(xué)科領(lǐng)域內(nèi)的相對(duì)位置,從而幫助科研人員準(zhǔn)確識(shí)別出高質(zhì)量的學(xué)術(shù)期刊。
CiteScore | SJR | SNIP | CiteScore 指數(shù) | ||||||||||||
0.6 | 0.175 | 0.491 |
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名詞解釋:CiteScore是基于Scopus數(shù)據(jù)庫的全新期刊評(píng)價(jià)體系。CiteScore 2021 的計(jì)算方式是期刊最近4年(含計(jì)算年度)的被引次數(shù)除以該期刊近四年發(fā)表的文獻(xiàn)數(shù)。CiteScore基于全球最廣泛的摘要和引文數(shù)據(jù)庫Scopus,適用于所有連續(xù)出版物,而不僅僅是期刊。目前CiteScore 收錄了超過 26000 種期刊,比獲得影響因子的期刊多13000種。被各界人士認(rèn)為是影響因子最有力的競(jìng)爭(zhēng)對(duì)手。
歷年IF值(影響因子)
歷年引文指標(biāo)和發(fā)文量
歷年自引數(shù)據(jù)
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