Annual Review of Entomology
最新影响因子 - 实时趋势预测 & 排名分区分析


最新

影响因子

2020-2021

19.686

42.7%

影响因子趋势分析

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Highly Cited Articles

Annual Review of Entomology

High Impact Research Articles
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Highly Cited Keywords

Annual Review of Entomology

High Impact Research Keywords

相关期刊

Annual Review of Entomology

Annual Review of Entomology 2020-2021 年的影响因子为19.686。

Annual Review of Entomology Impact Factor
最高影响因子
19.686
最高影响因子 IF

近十年Annual Review of Entomology的最高影响因子为19.686。

最低影响因子
11.455
最低影响因子 IF

近十年Annual Review of Entomology的最低影响因子为11.455。

影响因子 总成长率
71.9%
影响因子 总成长率

近十年Annual Review of Entomology的影响因子总成长率为71.9%。

影响因子 平均成长率
7.2%
影响因子 平均成长率

近十年Annual Review of Entomology的影响因子平均成长率为7.2%。

影响因子排名分区

子领域 分区 排名 百分比
Ecology, Evolution, Behavior and Systematics 1区 2/647

Ecology, Evolution, Behavior and Systematics 99%

Insect Science 1区 1/153

Insect Science 99%

影响因子排名分区

· 在Ecology, Evolution, Behavior and Systematics研究领域,Annual Review of Entomology的分区数为1区。Annual Review of Entomology在Ecology, Evolution, Behavior and Systematics研究类别的647种相关期刊中排名第2。在Ecology, Evolution, Behavior and Systematics领域,Annual Review of Entomology的排名百分位约为99%。
· 在Insect Science研究领域,Annual Review of Entomology的分区数为1区。Annual Review of Entomology在Insect Science研究类别的153种相关期刊中排名第1。在Insect Science领域,Annual Review of Entomology的排名百分位约为99%。

Annual Review of Entomology Impact Factor 2021-2022 Prediction

Annual Review of Entomology Impact Factor Predition System

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出版物总数
1488
总引文数
361769

出版数量年度趋势

期刊引用年度趋势

国际合作趋势

引用文献趋势

影响因子历年数据分析

影响因子
影响因子
2020-2021 19.686
2019-2020 13.796
2018-2019 11.796
2017-2018 13.86
2016-2017 12.867
2015-2016 13.534
2014-2015 13.731
2013-2014 13.021
2012-2013 13.589
2011-2012 11.455
影响因子历年数据分析

· Annual Review of Entomology 2020-2021年的影响因子为19.686
· Annual Review of Entomology 2019-2020年的影响因子为13.796
· Annual Review of Entomology 2018-2019年的影响因子为11.796
· Annual Review of Entomology 2017-2018年的影响因子为13.86
· Annual Review of Entomology 2016-2017年的影响因子为12.867
· Annual Review of Entomology 2015-2016年的影响因子为13.534
· Annual Review of Entomology 2014-2015年的影响因子为13.731
· Annual Review of Entomology 2013-2014年的影响因子为13.021
· Annual Review of Entomology 2012-2013年的影响因子为13.589
· Annual Review of Entomology 2011-2012年的影响因子为11.455

出版物引用数趋势分析

出版数量 引用数量
出版数量 引用数量
1955 0 1
1956 19 5
1957 19 41
1958 23 55
1959 18 86
1960 19 141
1961 18 176
1962 21 211
1963 17 340
1964 13 340
1965 14 358
1966 17 507
1967 19 469
1968 15 510
1969 14 643
1970 17 700
1971 16 836
1972 22 807
1973 15 890
1974 21 983
1975 21 976
1976 17 1111
1977 22 1155
1978 22 1132
1979 17 1203
1980 19 1441
1981 15 1274
1982 17 1555
1983 17 1740
1984 21 1636
1985 19 1893
1986 23 2047
1987 20 2092
1988 23 2573
1989 24 2248
1990 25 2342
1991 27 2374
1992 27 2780
1993 20 2698
1994 24 2920
1995 23 3018
1996 24 3237
1997 24 3481
1998 31 3937
1999 22 4660
2000 31 5549
2001 47 5363
2002 25 6187
2003 34 7286
2004 16 7748
2005 22 9223
2006 27 9789
2007 23 10773
2008 27 12449
2009 25 14406
2010 36 14994
2011 26 15863
2012 22 18338
2013 30 19422
2014 27 20527
2015 32 19446
2016 24 19669
2017 32 19252
2018 31 17839
2019 22 19314
2020 23 22870
2021 25 1840
出版物引用数趋势分析

· Annual Review of Entomology于1955年发表了0篇报告,并取得1篇引用文献。
· Annual Review of Entomology于1956年发表了19篇报告,并取得5篇引用文献。
· Annual Review of Entomology于1957年发表了19篇报告,并取得41篇引用文献。
· Annual Review of Entomology于1958年发表了23篇报告,并取得55篇引用文献。
· Annual Review of Entomology于1959年发表了18篇报告,并取得86篇引用文献。
· Annual Review of Entomology于1960年发表了19篇报告,并取得141篇引用文献。
· Annual Review of Entomology于1961年发表了18篇报告,并取得176篇引用文献。
· Annual Review of Entomology于1962年发表了21篇报告,并取得211篇引用文献。
· Annual Review of Entomology于1963年发表了17篇报告,并取得340篇引用文献。
· Annual Review of Entomology于1964年发表了13篇报告,并取得340篇引用文献。
· Annual Review of Entomology于1965年发表了14篇报告,并取得358篇引用文献。
· Annual Review of Entomology于1966年发表了17篇报告,并取得507篇引用文献。
· Annual Review of Entomology于1967年发表了19篇报告,并取得469篇引用文献。
· Annual Review of Entomology于1968年发表了15篇报告,并取得510篇引用文献。
· Annual Review of Entomology于1969年发表了14篇报告,并取得643篇引用文献。
· Annual Review of Entomology于1970年发表了17篇报告,并取得700篇引用文献。
· Annual Review of Entomology于1971年发表了16篇报告,并取得836篇引用文献。
· Annual Review of Entomology于1972年发表了22篇报告,并取得807篇引用文献。
· Annual Review of Entomology于1973年发表了15篇报告,并取得890篇引用文献。
· Annual Review of Entomology于1974年发表了21篇报告,并取得983篇引用文献。
· Annual Review of Entomology于1975年发表了21篇报告,并取得976篇引用文献。
· Annual Review of Entomology于1976年发表了17篇报告,并取得1111篇引用文献。
· Annual Review of Entomology于1977年发表了22篇报告,并取得1155篇引用文献。
· Annual Review of Entomology于1978年发表了22篇报告,并取得1132篇引用文献。
· Annual Review of Entomology于1979年发表了17篇报告,并取得1203篇引用文献。
· Annual Review of Entomology于1980年发表了19篇报告,并取得1441篇引用文献。
· Annual Review of Entomology于1981年发表了15篇报告,并取得1274篇引用文献。
· Annual Review of Entomology于1982年发表了17篇报告,并取得1555篇引用文献。
· Annual Review of Entomology于1983年发表了17篇报告,并取得1740篇引用文献。
· Annual Review of Entomology于1984年发表了21篇报告,并取得1636篇引用文献。
· Annual Review of Entomology于1985年发表了19篇报告,并取得1893篇引用文献。
· Annual Review of Entomology于1986年发表了23篇报告,并取得2047篇引用文献。
· Annual Review of Entomology于1987年发表了20篇报告,并取得2092篇引用文献。
· Annual Review of Entomology于1988年发表了23篇报告,并取得2573篇引用文献。
· Annual Review of Entomology于1989年发表了24篇报告,并取得2248篇引用文献。
· Annual Review of Entomology于1990年发表了25篇报告,并取得2342篇引用文献。
· Annual Review of Entomology于1991年发表了27篇报告,并取得2374篇引用文献。
· Annual Review of Entomology于1992年发表了27篇报告,并取得2780篇引用文献。
· Annual Review of Entomology于1993年发表了20篇报告,并取得2698篇引用文献。
· Annual Review of Entomology于1994年发表了24篇报告,并取得2920篇引用文献。
· Annual Review of Entomology于1995年发表了23篇报告,并取得3018篇引用文献。
· Annual Review of Entomology于1996年发表了24篇报告,并取得3237篇引用文献。
· Annual Review of Entomology于1997年发表了24篇报告,并取得3481篇引用文献。
· Annual Review of Entomology于1998年发表了31篇报告,并取得3937篇引用文献。
· Annual Review of Entomology于1999年发表了22篇报告,并取得4660篇引用文献。
· Annual Review of Entomology于2000年发表了31篇报告,并取得5549篇引用文献。
· Annual Review of Entomology于2001年发表了47篇报告,并取得5363篇引用文献。
· Annual Review of Entomology于2002年发表了25篇报告,并取得6187篇引用文献。
· Annual Review of Entomology于2003年发表了34篇报告,并取得7286篇引用文献。
· Annual Review of Entomology于2004年发表了16篇报告,并取得7748篇引用文献。
· Annual Review of Entomology于2005年发表了22篇报告,并取得9223篇引用文献。
· Annual Review of Entomology于2006年发表了27篇报告,并取得9789篇引用文献。
· Annual Review of Entomology于2007年发表了23篇报告,并取得10773篇引用文献。
· Annual Review of Entomology于2008年发表了27篇报告,并取得12449篇引用文献。
· Annual Review of Entomology于2009年发表了25篇报告,并取得14406篇引用文献。
· Annual Review of Entomology于2010年发表了36篇报告,并取得14994篇引用文献。
· Annual Review of Entomology于2011年发表了26篇报告,并取得15863篇引用文献。
· Annual Review of Entomology于2012年发表了22篇报告,并取得18338篇引用文献。
· Annual Review of Entomology于2013年发表了30篇报告,并取得19422篇引用文献。
· Annual Review of Entomology于2014年发表了27篇报告,并取得20527篇引用文献。
· Annual Review of Entomology于2015年发表了32篇报告,并取得19446篇引用文献。
· Annual Review of Entomology于2016年发表了24篇报告,并取得19669篇引用文献。
· Annual Review of Entomology于2017年发表了32篇报告,并取得19252篇引用文献。
· Annual Review of Entomology于2018年发表了31篇报告,并取得17839篇引用文献。
· Annual Review of Entomology于2019年发表了22篇报告,并取得19314篇引用文献。
· Annual Review of Entomology于2020年发表了23篇报告,并取得22870篇引用文献。
· Annual Review of Entomology于2021年发表了25篇报告,并取得1840篇引用文献。
· Annual Review of Entomology的总出版物为1488。
· Annual Review of Entomology的总引用为361769。

Annual Review of Entomology
基本资讯
Annual Review of Entomology | Academic Accelerator - About the Journal

介绍

The Annual Review of Entomology, in publication since 1956, reviews significant developments in the field of entomology, including biochemistry and physiology, morphology and development, behavior and neuroscience, ecology, agricultural entomology and pest management, biological control, forest entomology, acarines and other arthropods, medical and veterinary entomology, pathology, vectors of plant disease, genetics, genomics, and systematics, evolution, and biogeography. None

ISSN
0066-4170
ISSN

Annual Review of Entomology的ISSN是 0066-4170 ISSN是一个8位数的代码,用于识别各种报纸,期刊,杂志和期刊以及所有媒体 - 包括印刷版和电子版。

ISSN (Online)
1545-4487
ISSN (Online)

Annual Review of Entomology的ISSN(Online)是 1545-4487 . ISSN是一个8位数的代码,用于识别各种报纸,期刊,杂志和期刊以及所有媒体 - 包括印刷版和电子版。

出版社
Annual Reviews Inc.
出版社

Annual Review of Entomology的出版社是 Annual Reviews Inc.

出版频率
Annual
出版频率

Annual Review of Entomology publishes reports Annual .

出版年度
1961-1963, 1966-1967, 1969-1979, 1981-2020
出版年度

Annual Review of Entomology的出版年度包含 1961-1963, 1966-1967, 1969-1979, 1981-2020 .

开放存取
NO
开放存取

出版费
Review
出版费

语言
English
语言

The language of Annual Review of Entomology is English .

国家/地区
United States
国家/地区

The publisher of Annual Review of Entomology is Annual Reviews Inc. , which locates in United States .

What is Impact Factor?

The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric index calculated by Clarivate that reflects the yearly average number of citations of articles published in the last two years in a given journal. It is frequently used as a proxy for the relative importance of a journal within its field; journals with higher impact factor values are often deemed to be more important, or carry more intrinsic prestige in their respective fields, than those with lower values.

Annual Review of Entomology | Academic Accelerator - About the Impact Factor

Impact factor is commonly used to evaluate the relative importance of a journal within its field and to measure the frequency with which the “average article” in a journal has been cited in a particular time period. Journal which publishes more review articles will get highest IFs. Journals with higher IFs believed to be more important than those with lower ones. According to Eugene Garfield “impact simply reflects the ability of the journals and editors to attract the best paper available.” Journal which publishes more review articles will get maximum IFs. The Impact Factor of an academic journal is a scientometric Metric that reflects the yearly average number of citations that recent articles published in a given journal received. It is frequently used as a Metric for the relative importance of a journal within its field; journals with higher Impact Factor are often deemed to be more important than those with lower ones. The Annual Review of Entomology Impact Factor IF measures the average number of citations received in a particular year (2020) by papers published in the Annual Review of Entomology during the two preceding years (2018-2019). Note that 2020 Impact Factor are reported in 2021; they cannot be calculated until all of the 2020 publications have been processed by the indexing agency. New journals, which are indexed from their first published issue, will receive an impact factor after two years of indexing; in this case, the citations to the year prior to Volume 1, and the number of articles published in the year prior to Volume 1, are known zero values. Journals that are indexed starting with a volume other than the first volume will not get an impact factor until they have been indexed for three years. Occasionally, Journal Citation Reports assigns an impact factor to new journals with less than two years of indexing, based on partial citation data. The calculation always uses two complete and known years of item counts, but for new titles one of the known counts is zero. Annuals and other irregular publications sometimes publish no items in a particular year, affecting the count. The impact factor relates to a specific time period; it is possible to calculate it for any desired period. In addition to the 2-year Impact Factor, the 3-year Impact Factor, 4-year Impact Factor, 5-year Impact Factor, Real-Time Impact Factor can provide further insights and factors into the impact of Annual Review of Entomology.

History

The impact factor was devised by Eugene Garfield, the founder of the Institute for Scientific Information (ISI). Impact factors are calculated yearly starting from 1975 for journals listed in the Journal Citation Reports (JCR). ISI was acquired by Thomson Scientific & Healthcare in 1992, and became known as Thomson ISI. In 2018, Thomson ISI was sold to Onex Corporation and Baring Private Equity Asia. They founded a new corporation, Clarivate, which is now the publisher of the JCR.

Use

The impact factor is used to compare different journals within a certain field. The Web of Science indexes more than 11,500 science and social science journals. Journal impact factors are often used to evaluate the merit of individual articles and individual researchers. This use of impact factors was summarised by Hoeffel:

Impact Factor is not a perfect tool to measure the quality of articles but there is nothing better and it has the advantage of already being in existence and is, therefore, a good technique for scientific evaluation. Experience has shown that in each specialty the best journals are those in which it is most difficult to have an article accepted, and these are the journals that have a high impact factor. Most of these journals existed long before the impact factor was devised. The use of impact factor as a measure of quality is widespread because it fits well with the opinion we have in each field of the best journals in our specialty....In conclusion, prestigious journals publish papers of high level. Therefore, their impact factor is high, and not the contrary.

Eugene Garfield

In brief, Impact factors may be used by:
  • Authors to decide where to submit an article for publication.
  • Libraries to make collection development decisions
  • Academic departments to assess academic productivity
  • Academic departments to make decisions on promotion and tenure.
As impact factors are a journal-level metric, rather than an article- or individual-level metric, this use is controversial. Garfield agrees with Hoeffel,but warns about the "misuse in evaluating individuals" because there is "a wide variation [of citations] from article to article within a single journal". Other things to consider about Impact Factors:
  • Many journals do not have an impact factor.
  • The impact factor cannot assess the quality of individual articles. Even if citations were evenly distributed among articles, the impact factor would only measure the interests of other researchers in an article, not its importance and usefulness.
  • Only research articles, technical notes and reviews are “citable” items. Editorials, letters, news items and meeting abstracts are “non-citable items”.
  • Only a small percentage of articles are highly cited and they are found in a small subset of journals. This small proportion accounts for a large percentage of citations.
  • Controversial papers, such as those based on fraudulent data, may be highly cited, distorting the impact factor of a journal.
  • Citation bias may exist. For example, English language resources may be favoured. Authors may cite their own work.
Moreover, informed and careful use of these impact data is essential, and should be based on a thorough understanding of the methodology used to generate impact factors. There are controversial aspects of using impact factors:
  • It is not clear whether the number of times a paper is cited measures its actual quality.
  • Some databases that calculate impact factors fail to incorporate publications including textbooks, handbooks and reference books.
  • Certain disciplines have low numbers of journals and usage. Therefore, one should only compare journals or researchers within the same discipline.
  • Review articles normally are cited more often and therefore can skew results.
  • Self-citing may also skew results.
  • Some resources used to calculate impact factors have inadequate international coverage.
  • Editorial policies can artificially inflate an impact factor.
Impact factors have often been used in advancement and tenure decision-making. Many recognize that this is a coarse tool for such important decisions, and that a multitude of factors should be taken into account in these deliberations. When considering the use of the impact factor (IF), keep these aspects in mind:
  • IF analysis is limited to citations from the journals indexed by the Web of Science/Web of Knowledge. Currently, the Web of Science indexes only 8621 journals across the full breadth of the sciences, and just 3121 in the social sciences.
  • A high IF/citation rate says nothing about the quality -- or even, validity -- of the references being cited. Notorious or even retracted articles often attract a lot of attention, hence a high number of citations. The notority related to the first publication on "cold fusion" is one such example.
  • Journals that publish more "review articles" are often found near the top of the rankings. While not known for publishing new, creative findings, these individual articles tend to be heavily cited.
  • The IF measures the average number of citations to articles in the journal -- given this, a small number of highly-cited articles will skew the figure.
  • It takes several years for new journals to be added to the list of titles indexed by the Web of Science/Web of Knowledge, so these newer titles will be under-represented.
  • It's alleged that journal editors have learned to "game" the system, encouraging authors to cite their works previously published in the same journal.
Comparing Journals Across Disciplines? Not a good idea! Using Impact Factors within a given discipline should only be done with great care, as described above. Using impact factor data to compare journals across disciplines is even more problematic. Here are some of the reasons:
  • Disciplines where older literature is still referenced, such as Chemistry and Mathematics, offer challenges to the methodolgy since older citations (older than two years) are not used to calculate the impact factor for a given journal. (Five-year impact factor analysis, which can be calculated using the Journal Citation Index database, helps smooth out this problem only to some degree.)
  • Different disciplines have different practices regarding tendency to cite larger numbers of references. Higher overall citation rates will bump upward impact factor measurements.
  • Where it's common for large numbers of authors to collaborate on a single paper, such as in Physics, the tendency of authors to cite themselves (and in this case, more authors) will result in increased citation rates.

Pros and Cons of the Impact Factor

Pros:

  • A vetted, established metric for measuring journal impact within a discipline.
  • Designed to eliminate bias based on journal size and frequency.
Cons:
  • Individual articles makes an uneven contribution to overall Impact Factor.
  • Impact Factor does not account for certain things, things like context (postive or negative citaion) and intentionality (self-citation).
  • The metric is proprietary to and bound by the contents of the Thomson Reuters database.
  • Citations, on which the Impact Factor is based, count for less than 1% of an article's overall use.

Criticism

Numerous critiques have been made regarding the use of impact factors. A 2007 study noted that the most fundamental flaw is that impact factors present the mean of data that are not normally distributed, and suggested that it would be more appropriate to present the median of these data. There is also a more general debate on the validity of the impact factor as a measure of journal importance and the effect of policies that editors may adopt to boost their impact factor (perhaps to the detriment of readers and writers). Other criticism focuses on the effect of the impact factor on behavior of scholars, editors and other stakeholders. Others have made more general criticisms, arguing that emphasis on impact factor results from negative influence of neoliberal policies on academia claiming that what is needed is not just replacement of the impact factor with more sophisticated metrics for science publications but also discussion on the social value of research assessment and the growing precariousness of scientific careers in higher education.
Experts stress that there are limitations in using impact factors to evaluate a scholar's work. There are many reasons cited for not relying on impact factor alone to evaluate the output of a particular individual. Among these are the following:

  • A single factor is not sufficient for evaluating an author's work.
  • Journal values are meaningless unless compared within the same discipline. Impact factors vary among disciplines.
  • The impact factor was originally devised to show the impact of a specific journal, not a specific scholar. The quality and impact of the author's work may extend beyond the impact of a particular journal.
According to Jim Testa, a researcher for ThomsonReuters Scientific, the most widespread misuse of the Impact Factor is to evaluate the work of an individual author (instead of a journal). "To say that because a researcher is publishing in a certain journal, he or she is more influential or deserves more credit is not necessarily true. There are many other variables to consider." (interview 6/26/2008 in Thomson Reuters blog entry)

什么是影响因子?

影响因子(IF)经常用作表明期刊对其领域重要性的指标。它是由科学信息研究所的创始人Eugene Garfield首次提出的。尽管IF被机构和临床医生广泛使用,但是人们对于IF日记的计算方法,其意义以及如何利用它存在着广泛的误解。期刊的影响因子与同行评议过程的质量和期刊的内容质量等因素无关,而是一种反映对期刊,书籍,论文,项目报告,报纸上发表的文章的平均引用次数的度量,会议/研讨会论文集,在互联网上发布的文件,说明以及任何其他批准的文件。

Annual Review of Entomology | Academic Accelerator - About the Impact Factor

影响因子通常用于评估期刊在其领域内的相对重要性,以及衡量期刊在特定时间段内引用“平均文章”的频率。发表更多评论文章的期刊将获得最高的IF。 IF较高的期刊被认为比IF较低的期刊更重要。根据尤金·加菲尔德(Eugene Garfield)的说法,“影响只是反映期刊和编辑吸引最佳论文的能力。”发表更多评论文章的期刊将获得最大的IF。