Addictive Behaviors
最新影響指數 - 實時趨勢預測 & 期刊影響力排名







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Highly Cited Articles

Addictive Behaviors

High Impact Research Articles
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Highly Cited Keywords

Addictive Behaviors

High Impact Research Keywords



Addictive Behaviors

Addictive Behaviors 2020-2021 年的影響指數為3.913。

Addictive Behaviors Impact Factor
最高影響指數 IF

近十年Addictive Behaviors的最高影響指數為3.913。

最低影響指數 IF

近十年Addictive Behaviors的最低影響指數為2.021。

影響指數 累積成長率
影響指數 累積成長率

近十年Addictive Behaviors的影響指數累積成長率為87.7%。

影響指數 平均成長率
影響指數 平均成長率

近十年Addictive Behaviors的影響指數平均成長率為8.8%。


子領域 四分位數 排名 百分比
Clinical Psychology Q1 23/283

Clinical Psychology 92%

Psychiatry and Mental Health Q1 62/502

Psychiatry and Mental Health 87%

Toxicology Q1 22/122

Toxicology 82%

Medicine (miscellaneous) Q1 45/238

Medicine (miscellaneous) 81%


· 在Clinical Psychology研究領域,Addictive Behaviors的四分位數為Q1。Addictive Behaviors在Clinical Psychology研究類別的283種相關期刊中排名第23。在Clinical Psychology研究領域,Addictive Behaviors的排名百分位約為92%。
· 在Psychiatry and Mental Health研究領域,Addictive Behaviors的四分位數為Q1。Addictive Behaviors在Psychiatry and Mental Health研究類別的502種相關期刊中排名第62。在Psychiatry and Mental Health研究領域,Addictive Behaviors的排名百分位約為87%。
· 在Toxicology研究領域,Addictive Behaviors的四分位數為Q1。Addictive Behaviors在Toxicology研究類別的122種相關期刊中排名第22。在Toxicology研究領域,Addictive Behaviors的排名百分位約為82%。
· 在Medicine (miscellaneous)研究領域,Addictive Behaviors的四分位數為Q1。Addictive Behaviors在Medicine (miscellaneous)研究類別的238種相關期刊中排名第45。在Medicine (miscellaneous)研究領域,Addictive Behaviors的排名百分位約為81%。

Addictive Behaviors Impact Factor 2022 Prediction

Addictive Behaviors Impact Factor Predition System

Addictive Behaviors Impact Factor Prediction System is now online. You can start share your valuable insights with the community.

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2020-2021 3.913
2019-2020 3.645
2018-2019 2.963
2017-2018 2.686
2016-2017 2.944
2015-2016 2.795
2014-2015 2.764
2013-2014 2.441
2012-2013 2.021
2011-2012 2.085

· Addictive Behaviors 2020-2021年的影響指數為3.913
· Addictive Behaviors 2019-2020年的影響指數為3.645
· Addictive Behaviors 2018-2019年的影響指數為2.963
· Addictive Behaviors 2017-2018年的影響指數為2.686
· Addictive Behaviors 2016-2017年的影響指數為2.944
· Addictive Behaviors 2015-2016年的影響指數為2.795
· Addictive Behaviors 2014-2015年的影響指數為2.764
· Addictive Behaviors 2013-2014年的影響指數為2.441
· Addictive Behaviors 2012-2013年的影響指數為2.021
· Addictive Behaviors 2011-2012年的影響指數為2.085


出版數量 引用數量
出版数量 引用数量
1975 9 12
1976 29 34
1977 31 96
1978 36 174
1979 52 234
1980 46 381
1981 53 445
1982 59 508
1983 61 522
1984 61 714
1985 58 905
1986 59 956
1987 53 1085
1988 58 1213
1989 77 1339
1990 69 1567
1991 63 1789
1992 65 1851
1993 69 1958
1994 64 2038
1995 75 2020
1996 80 2208
1997 82 2306
1998 92 2818
1999 93 3122
2000 99 3640
2001 79 3827
2002 74 4482
2003 139 4857
2004 194 5875
2005 181 6924
2006 229 8713
2007 302 9601
2008 186 11277
2009 179 12640
2010 206 13325
2011 239 14452
2012 229 16529
2013 243 18291
2014 305 19461
2015 325 20325
2016 258 19175
2017 349 17710
2018 393 16556
2019 446 19098
2020 354 23249
2021 211 2251

· Addictive Behaviors於1975年發表了9篇报告,並取得12篇文獻引用。
· Addictive Behaviors於1976年發表了29篇报告,並取得34篇文獻引用。
· Addictive Behaviors於1977年發表了31篇报告,並取得96篇文獻引用。
· Addictive Behaviors於1978年發表了36篇报告,並取得174篇文獻引用。
· Addictive Behaviors於1979年發表了52篇报告,並取得234篇文獻引用。
· Addictive Behaviors於1980年發表了46篇报告,並取得381篇文獻引用。
· Addictive Behaviors於1981年發表了53篇报告,並取得445篇文獻引用。
· Addictive Behaviors於1982年發表了59篇报告,並取得508篇文獻引用。
· Addictive Behaviors於1983年發表了61篇报告,並取得522篇文獻引用。
· Addictive Behaviors於1984年發表了61篇报告,並取得714篇文獻引用。
· Addictive Behaviors於1985年發表了58篇报告,並取得905篇文獻引用。
· Addictive Behaviors於1986年發表了59篇报告,並取得956篇文獻引用。
· Addictive Behaviors於1987年發表了53篇报告,並取得1085篇文獻引用。
· Addictive Behaviors於1988年發表了58篇报告,並取得1213篇文獻引用。
· Addictive Behaviors於1989年發表了77篇报告,並取得1339篇文獻引用。
· Addictive Behaviors於1990年發表了69篇报告,並取得1567篇文獻引用。
· Addictive Behaviors於1991年發表了63篇报告,並取得1789篇文獻引用。
· Addictive Behaviors於1992年發表了65篇报告,並取得1851篇文獻引用。
· Addictive Behaviors於1993年發表了69篇报告,並取得1958篇文獻引用。
· Addictive Behaviors於1994年發表了64篇报告,並取得2038篇文獻引用。
· Addictive Behaviors於1995年發表了75篇报告,並取得2020篇文獻引用。
· Addictive Behaviors於1996年發表了80篇报告,並取得2208篇文獻引用。
· Addictive Behaviors於1997年發表了82篇报告,並取得2306篇文獻引用。
· Addictive Behaviors於1998年發表了92篇报告,並取得2818篇文獻引用。
· Addictive Behaviors於1999年發表了93篇报告,並取得3122篇文獻引用。
· Addictive Behaviors於2000年發表了99篇报告,並取得3640篇文獻引用。
· Addictive Behaviors於2001年發表了79篇报告,並取得3827篇文獻引用。
· Addictive Behaviors於2002年發表了74篇报告,並取得4482篇文獻引用。
· Addictive Behaviors於2003年發表了139篇报告,並取得4857篇文獻引用。
· Addictive Behaviors於2004年發表了194篇报告,並取得5875篇文獻引用。
· Addictive Behaviors於2005年發表了181篇报告,並取得6924篇文獻引用。
· Addictive Behaviors於2006年發表了229篇报告,並取得8713篇文獻引用。
· Addictive Behaviors於2007年發表了302篇报告,並取得9601篇文獻引用。
· Addictive Behaviors於2008年發表了186篇报告,並取得11277篇文獻引用。
· Addictive Behaviors於2009年發表了179篇报告,並取得12640篇文獻引用。
· Addictive Behaviors於2010年發表了206篇报告,並取得13325篇文獻引用。
· Addictive Behaviors於2011年發表了239篇报告,並取得14452篇文獻引用。
· Addictive Behaviors於2012年發表了229篇报告,並取得16529篇文獻引用。
· Addictive Behaviors於2013年發表了243篇报告,並取得18291篇文獻引用。
· Addictive Behaviors於2014年發表了305篇报告,並取得19461篇文獻引用。
· Addictive Behaviors於2015年發表了325篇报告,並取得20325篇文獻引用。
· Addictive Behaviors於2016年發表了258篇报告,並取得19175篇文獻引用。
· Addictive Behaviors於2017年發表了349篇报告,並取得17710篇文獻引用。
· Addictive Behaviors於2018年發表了393篇报告,並取得16556篇文獻引用。
· Addictive Behaviors於2019年發表了446篇报告,並取得19098篇文獻引用。
· Addictive Behaviors於2020年發表了354篇报告,並取得23249篇文獻引用。
· Addictive Behaviors於2021年發表了211篇报告,並取得2251篇文獻引用。
· Addictive Behaviors的總出版物為6714。
· Addictive Behaviors的總引用數為302553。

Addictive Behaviors
Addictive Behaviors | Academic Accelerator - About the Journal


Addictive Behaviors is an international peer-reviewed journal publishing high quality human research on addictive behaviors and disorders since 1975. The journal accepts submissions of full-length papers and short communications on substance-related addictions such as the abuse of alcohol, drugs and nicotine, and behavioral addictions involving gambling and technology. We primarily publish behavioral and psychosocial research but our articles span the fields of psychology, sociology, psychiatry, epidemiology, social policy, medicine, pharmacology and neuroscience. While theoretical orientations are diverse, the emphasis of the journal is primarily empirical. That is, sound experimental design combined with valid, reliable assessment and evaluation procedures are a requisite for acceptance. However, innovative and empirically oriented case studies that might encourage new lines of inquiry are accepted as well. Studies that clearly contribute to current knowledge of etiology, prevention, social policy or treatment are given priority. Scholarly commentaries on topical issues, systematic reviews, and mini reviews are encouraged. We especially welcome multimedia papers that incorporate video or audio components to better display methodology or findings. Studies can also be submitted to Addictive Behaviors? companion title, the open access journal Addictive Behaviors Reports, which has a particular interest in 'non-traditional', innovative and empirically-oriented research such as negative/null data papers, replication studies, case reports on novel treatments, and cross-cultural research. None


Addictive Behaviors的ISSN是 0306-4603 ISSN是一個8位數的代碼,用於識別各種報紙,期刊,雜誌和期刊以及所有媒體 - 包括印刷版和電子版。

ISSN (Online)
ISSN (Online)

Addictive Behaviors的ISSN(Online)是 - . ISSN是一個8位數的代碼,用於識別各種報紙,期刊,雜誌和期刊以及所有媒體 - 包括印刷版和電子版。

Elsevier Ltd.

Addictive Behaviors的出版社是 Elsevier Ltd.


Addictive Behaviors publishes reports Quarterly .


Addictive Behaviors的出版年度包含 1975-2021 .




The language of Addictive Behaviors is English .

United Kingdom

The publisher of Addictive Behaviors is Elsevier Ltd. , which locates in United Kingdom .

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.

Addictive Behaviors | 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 Addictive Behaviors Impact Factor IF measures the average number of citations received in a particular year (2020) by papers published in the Addictive Behaviors 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 Addictive Behaviors.


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.


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


  • A vetted, established metric for measuring journal impact within a discipline.
  • Designed to eliminate bias based on journal size and frequency.
  • 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.


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)


影響指數(IF)經常用作表明期刊對其領域重要性的指標。它是由科學信息研究所的創始人Eugene Garfield首次提出的。儘管IF被機構和臨床醫生廣泛使用,但是人們對於IF日記的計算方法,其意義以及如何利用它存在著廣泛的誤解。期刊的影響指數與同行評議過程的質量和期刊的內容質量等因素無關,而是一種反映對期刊,書籍,論文,項目報告,報紙上發表的文章的平均引用次數的度量,會議/研討會論文集,在互聯網上發布的文件,說明以及任何其他批准的文件。

Addictive Behaviors | Academic Accelerator - About the Impact Factor

影響指數通常用於評估期刊在其領域內的相對重要性,以及衡量期刊在特定時間段內引用“平均文章”的頻率。發表更多評論文章的期刊將獲得最高的IF。 IF較高的期刊被認為比IF較低的期刊更重要。根據尤金·加菲爾德(Eugene Garfield)的說法,“影響只是反映期刊和編輯吸引最佳論文的能力。”發表更多評論文章的期刊將獲得最大的IF。