SCI中每种杂志都有一个分数,那么这个分数是如何算出来的呢? 这方面信息我还不是专业人员,只看了两篇相关科普介绍,提供给大家阅读,专业人士请告知,SCI分数是否真是由下面这两篇文献中的数学算法算出。 马志明: Google 搜索与 Inter 网的数学 Rar1 Rar2 J.B. Keller, Ranking of Teams, Authors and Pages Rar1 Rar2 Rar3 Rar4 实际上,Stanford大学资深数学家,Wolf奖得主 J.B. Keller 于1978年提出了一个Ranking算法,刚开始,是用棒球赛来作为例子的,希望在评价棒球队排名(Rank)时,能够更加客观公平。 当Keller在SIAM任职时(Board of Trustee),开始将这个算法用于期刊评价和作者评价,只需要将棒球队换成期刊,将棒球队A战胜棒球队B一次,换成期刊A被期刊B引用一次,这种换元法对数学家来说当然是小菜一碟。 马志明的文章,未言及著名数学家Keller的贡献,而将其归功于Google的两位创始人, 这一漂亮的想法出自斯坦福大学 1998 年在读的博士研究生 Sergey Brin 与 Larry Page 。 Keller的这篇文章也讲,This same method was subsequently discovered by the founders of Google, who realized its value for ranking web pages。 关于Keller,有一个采访 Interview with Joseph Keller, Notices of AMS,vol. 51, number 7 备份地址 不管怎样,这都说明,排名问题,不仅仅是一个主观性社会问题,更是一个复杂的数学问题,并不简单。 科学网上,最近有些科学家,指摘SCI的不足之处,不过其理论依据,仍未经数学语言而上升到科学的角度,局限于简单的社会问题范畴,因而其立论往往不能服人,或者模糊性太强,或者博贴的预设政治立场太强。 Keller的文章,就有一段讲到这种算法会出现不足之处的原因,仅仅提了一下,未深入。 实际上,SCI分数,需要数学算法才能科学的定义,数学算法本身为适应更加复杂的实际情况(毕竟SCI这个信息量和复杂性比棒球赛要大得多),也需要进行深入的改进。 科学家们在批评SCI之时,或者,不是批评SCI本身,而是在批评对SCI的乱用之时,最好先对其涉及到的Ranking算法,有一个科普级的了解,毕竟Keller的文章只需要大一水平的线性代数就能看懂,马志明的文章,后半段稍微难些,需要概率统计的知识。 不仅SCI分数,实际上科学基金评审,如何在评审人的投票之后进行排名,怎么设计一个好的数学算法,问题想来应该也并不简单。 我们是科学家,不是政治家,必然不应采取政治替代科学的态度。非常可惜的是,在有些科学家的博文上,却出现了这种趋势。还好,后面有些科学家博文跟进,将很多信息明确化,使SCI讨论中的政治态度大为减少。 SCI专题博文收藏-Diigo MathCoffee Group,申请注册后,你也可往里贡献 实际上,即使是政治学方面,关于选举的方法,也有本数学书可以参考看看。 S.J.Brams, Mathematics and Democracy: Designing Better Voting and Fair-Division Procedures, Princeton University Press 2008 附注1. 如果用Page Rank算法,取代较为粗陋的SCI算法,应是一个可以尝试的方向。不过,Page Rank算法本身也不完善,细小的缺陷先不去说,先说一个最大的,即, 如果一篇文章被不同领域的文献引用,则其Impact Factor应该更大才对。这样,就需要考虑如何在算法上,定义不同领域不同文章的区分度。以及如何将这种区分度,加入到Ranking算法中去,这是目前Google也尚未做到的。 附注2. Ranking(评级)本来是社会中非常重要和严肃的内容,往往牵扯到至关重要的人际资源分配。没想到,因为网络的出现,网络内容的Ranking,实际上严肃性就没有那么大,允许出现错误,这个好处就使得各种Ranking算法的实验成为可能。相信这些实验,通过不严肃的网络评级,最后能演化到严肃的应用,从而为人类政治学的深入,开辟蹊径。
h指数研究外文参考文献 Provided by 赵星(Zhao Xing),2009.4.9 http://www.sciencenet.cn/u/zhaoxing/ h指数是论文影响力的一个测评参数,其简介可参见博文: 什么是学者的h指数?如何计算?(点击进入) 下面是我所能查询到的已刊出的341篇h指数研究外文论文(截止于09年4月8日,以后会再更新)。排序按论文出版年(但并非严格的刊出时间顺序)。其中除了关于h指数本身的研究,还有一些是评述,或研究其它对象时用到了h指数。 若有需要其中某篇论文而暂时无法下载,可与我联系 。除了部分会议论文外,绝大部分期刊论文应都能代为下载全文。 文后附有本文PDF格式供下载。 之前任胜利老师和刘玉仙老师也都曾在科学网讨论过h指数研究的参考文献。链接如下: 任胜利老师博文: 研究h指数(h-Index)应阅读的文献(点击进入) 刘玉仙老师博文: 单篇补充-----H指数应阅读文献(点击进入) h指数研究外文参考文献: Hirsch, J.E., An index to quantify an individual's scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 2005. 102(46): p. 16569-16572. Dahlgren, H., R.L. Jensen, and F. Valentin. Heterogeneity of intellectual assets - a method for identification and measurement with patent data. in 10th International Conference of the International-Society-for-Scientometrics-and-Informetrics. 2005. Stockholm, SWEDEN. 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赵星 2009-3-28 http://www.sciencenet.cn/u/zhaoxing/ 2005 年, Hirsch 提出作者 h 指数用于测评学者个人的科研绩效,现已成为国际信息计量学最主要的新兴热点 。 h 指数研究到底有多热?这里以两种重要期刊的 Web of Science 的数据,给出另一个证据(如表所示)。 两种相关领域重要刊物 2005 年后刊发文章被引频次 TOP5 (截止到 2009 年 3 月) Journal of The American Society for Information Science and Technology 序号 论文信息 被引频次 1 Cronin B, Meho L. Using the h-index to rank influential information scientists. 2006, 57(9): 1275-1278. 51 2 Bornmann L, Daniel H D. What do we know about the h index?. 2007, 58(9): 1381-1385. 31 3 Leydesdorff L, Vaughan L. Co-occurrence matrices and their applications in information science: Extending ACA to the Web environment. 2006, 57(12): 1616-1628. 31 4 Jansen B J, Spink A, Pedersen J. A temporal comparison of AltaVista Web searching. 2005, 56(6): 559-570. 31 5 Chen C M. CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. 2006, 57(3): 359-377. 28 Scientometrics 序号 论文信息 被引频次 1 Van Raan A. Comparison of the Hirsch-index with standard bibliometric indicators and with peer judgment for 147 chemistry research groups. 2006, 67(3): 491-502. 59 2 Egghe L. Theory and practise of the g-index. 2006, 69(1): 131-152. 55 3 Glanzel W. On the h-index - A mathematical approach to a new measure of publication activity and citation impact. 2006, 67(2): 315-321. 48 4 Egghe L, Rousseau R. An informetric model for the Hirsch-index. 2006, 69(1): 121-129. 41 5 Batista P D, Campiteli M G, Kinouchi O, et al. Is it possible to compare researchers with different scientific interests?. 2006, 68(1): 179-189. 38 为 h 指数研究文献 《 Journal of The American Society for Information Science and Technology》(JASIST)也许是情报学最重要刊物,《Scientometrics》也许是科学计量学最重要刊物。由表可见,在h指数出现后,《JASIST》刊发的最有影响力的5篇文章中,有两篇都是h指数研究。而《Scientometrics》被引频次TOP5则全部被h指数研究囊括。实际上,此期间《JASIST》被引频次6-10位中的第6和第7篇论文也与h指数有关,《Scientometrics》被引频次6-10位中还有3篇论文是h指数主题。 参考文献: Hirsch J.An index to quantify an individuals scientific research output. PNAS ,2005,102(46):16569-16572 赵星 , 高小强 , 郭吉安 , 陶乃航 . 基于主题词频和 g 指数的研究热点分析方法 . 图书情报工作 ,2009,53(2): 31-34
澳大利亚研究委员会(Australian Research Council-ARC)有点类似于我国的自然科学基金委,近日为了其The Excellence in Research for Australia (ERA) 计划发布了对研究人员进行考量的评价指标。 有兴趣的朋友请自行前往( http://www.arc.gov.au/era/indicators.htm )观看吧,我这里就不搬砖头了。
SCI: Science Citation Index, but now in China, it stands for Stupid Chinese Idea. Many Universities and colleges rate academic research level according to SCI and Awarding faculty according to it. Much money flows to those subjects which can be easily cited by SCI. Such system surely do harm to the facultys zeal in some fields. SSCI. Social Science Citation Index, if not treat it correctly, will become SCISS (Stupid Chinese Idea in Social Science). CSSCI . Chinese Social Science Citation Index, also means to Correct Sense of Stupid Chinese Idea, and build the rating system of its own. 中国大学论文的指标 SCI :《科学引文索引》( Science Citation Index )是美国科学情报研究所出版的一种综合性科技引文检索刊物。它是目前国际上最具权威性的、基础研究和应用基础研究成果评价的重要工具。 EI :《工程索引》( The Engineering Index ),是美国工程信息公司出版的著名工程技术类综合性检索工具。 SSCI: 《社会科学引文索引》( Social Science Citation Index )为美国科学情报研究所建立的综合性社科文献数据库。 其他数据 根据中科院的统计, 2004 年中国发表的论文总数是世界第 9 位,但是平均每篇论文被引用的次数仅排在世界第 124 位。 1996 年我国的 SCI 论文数量排名世界第 14 位。 2005 年,按 SCI 所收录的论文数排序,我国排在世界第 5 位 , 仅次于美国、英国、德国和日本。 有数据显示,每年国家统计的数万项科研 成果 中, 90% 以上未产生实际价值。