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Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Impact, Factor and Metrics, Impact Score, Ranking, h-index, SJR, Rating, Publisher, ISSN, and More

Last Updated on October 31, 2023

Impact Score

2018-2019

0.00

h-Index

2018-2019

 192

Rank

2018-2019

 4334

SJR

2018-2019

 1.004

Note: The impact score or impact index shown here is equivalent to the average number of times documents published in a journal/conference in the past two years have been cited in the current year (i.e., Cites / Doc. (2 years)). It is based on Scopus data and can be a little higher or different compared to the impact factor (IF) produced by Journal Citation Report. Please refer to the Web of Science data source to check the exact journal impact factor ™ (Thomson Reuters) metric.

Important Metrics and Factor

Title Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Abbreviation Proc. ACM SIGKDD Int. Conf. Knowl. Discov. Data Min.
Publication Type Conference and proceedings
Subject Area, Categories, Scope Information Systems; Software
h-index 192
Overall Rank/Ranking 4334
SCImago Journal Rank (SJR) 1.004
Impact Score 0.00
Publisher
Country United States
ISSN -
Best Quartile -
Coverage History 2002-2003, 2005-2015




About Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining


Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is a conference and proceedings covering the technologies/fields/categories related to Information Systems; Software. It is published by . The overall rank of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is 4334. According to SCImago Journal Rank (SJR), this conference and proceedings is ranked 1.004. SCImago Journal Rank is an indicator, which measures the scientific influence of journals. It considers the number of citations received by a journal and the importance of the journals from where these citations come. SJR acts as an alternative to the Journal Impact Factor (or an average number of citations received in last 2 years). This conference and proceedings has an h-index of 192. The best quartile for this conference and proceedings is -.

The ISSN of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining conference and proceedings is -. An International Standard Serial Number (ISSN) is a unique code of 8 digits. It is used for the recognition of journals, newspapers, periodicals, and magazines in all kind of forms, be it print-media or electronic. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is cited by a total of 1842 articles during the last 3 years (Preceding 2018).


Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining Impact IF 2018-2019


The Impact IF 2018 of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is 0.00, which is computed in 2019 as per its definition. The impact IF, also denoted as Journal impact score (JIS), of an academic journal is a measure of the yearly average number of citations to recent articles published in that journal. It is based on Scopus data.

Table Setting


Impact IF Trend


Year wise Impact IF of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Based on Scopus data.


Year Impact IF
2023/2024 Coming Soon
2018 0.00
2017 7.04
2016 5.63
2015 4.24
2014 4.06

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining h-index


  Table Setting

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining has an h-index of 192. It means 192 articles of this conference and proceedings have more than 192 number of citations. The h-index is a way of measuring the productivity and citation impact of the publications. The h-index is defined as the maximum value of h such that the given journal/author has published h papers that have each been cited at least h number of times.




Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ISSN


The ISSN of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is -. ISSN stands for International Standard Serial Number.

An ISSN is a unique code of 8 digits. It is used for the recognition of journals, newspapers, periodicals, and magazines in all kind of forms, be it print-media or electronic.

Table Setting

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining Rank and SCImago Journal Rank (SJR)


The overall rank of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is 4334. According to SCImago Journal Rank (SJR), this conference and proceedings is ranked 1.004. SCImago Journal Rank is an indicator, which measures the scientific influence of journals. It considers the number of citations received by a journal and the importance of the journals from where these citations come.

SJR of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining by Year


Year SJR
2023/2024 Coming Soon
2018 1.004
2017 1.005
2016 0.803
2015 1.341
2014 1.345

Ranking of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining by Year


Year Ranking
2023/2024 Coming Soon
2018 4334
2017 4327
2016 5826
2015 2868
2014 2751

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining Publisher


Table Setting

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is published by . It's publishing house is located in United States. Coverage history of this conference and proceedings is as following: 2002-2003, 2005-2015. The organization or individual who handles the printing and distribution of printed or digital publications is known as Publisher.


Call For Papers


Visit the official website of the journal/conference to check the further details about the call for papers.


Abbreviation


The IS0 4 standard abbreviation of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is Proc. ACM SIGKDD Int. Conf. Knowl. Discov. Data Min.. This abbreviation ('Proc. ACM SIGKDD Int. Conf. Knowl. Discov. Data Min.') is well recommended and approved for the purpose of indexing, abstraction, referencing and citing goals. It meets all the essential criteria of ISO 4 standard.

ISO 4 (International Organization for Standardization 4) is an international standard that defines a uniform and consistent system for abbreviating serial publication titles and journals.


How to publish in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining


If your research field is/are related to Information Systems; Software, then please visit the official website of this conference and proceedings.


Acceptance Rate


The acceptance rate/percentage of any academic journal/conference depends upon many parameters. Some of the critical parameters are listed below.

  • The demand or interest of researchers/scientists in publishing in a specific Journal/Conference.
  • Peer review complexity and timeline.
  • The mix of unsolicited and invited submissions.
  • The time it takes from manuscript submission to final publication.
  • And Many More.

It is essential to understand that the acceptance rate/rejection rate of papers varies among journals. Some Journals considers all the manuscripts submissions as a basis of acceptance rate computation. On the other hand, few consider the only manuscripts sent for peer review or few even not bother about the accurate maintenance of total submissions. Hence, it can provide a rough estimation only.

The best way to find out the acceptance rate is to reach out to the associated editor or to check the official website of the Journal/Conference.



Frequently Asked Questions (FAQs)


What's the latest impact IF of the Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining?

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining latest impact IF is 0.00. It's evaluated in the year 2018. The highest and the lowest impact IF or impact score of this conference and proceedings are 7.04 (2017) and 0.00 (2018), respectively, in the last 5 years. Moreover, its average IS is 4.19 in the previous 5 years.


What's the SCImago Journal Rank (SJR) of the Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining?

The Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining has an SJR (SCImago Journal Rank) of 1.004, according to the latest data. It is computed in the year 2019. In the past 5 years, this conference and proceedings has recorded a range of SJR, with the highest being 1.345 in 2014 and the lowest being 0.803 in 2016. Furthermore, the average SJR of the Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining over the previous 5-year period stands at 4.19.


What's the latest h-index of the Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining?

The latest h-index of the Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is 192.


Who's the publisher of the Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining?

The Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is published by the , with its country of publication being the United States.


What's the current ranking of the Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining?

The Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is currently ranked 4334 out of 27955 Journals, Conferences, and Book Series in the latest ranking. Over the course of the last 5 years, this conference and proceedings has experienced varying rankings, reaching its highest position of 2751 in 2014 and its lowest position of 5826 in 2016.


What's the abbreviation or short name for the Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining?

The standard ISO4 abbreviation for the Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is Proc. ACM SIGKDD Int. Conf. Knowl. Discov. Data Min..


Is the "Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining" classified as a Journal, Conference and Proceedings, Trade Journal or Book Series?

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is classified as a conference and proceedings that the publishes.


What's the scope or major areas of the Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining?

The Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining encompasses the following areas:

  • Information Systems
  • Software

For a more comprehensive understanding of its scope, check the official website of this conference and proceedings.


What's the coverage history of the Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining?

The Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining coverage history can be summarized as follows: 2002-2003, 2005-2015.


Credits and Sources


  • Scimago Journal & Country Rank (SJR), https://www.scimagojr.com/
  • Journal Impact Factor, https://clarivate.com/



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Check complete list




Year wise Impact Score (IS) of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Impact Score Table

Year Impact Score (IS)
2019/2020 Coming Soon
2018 0.00
2017 7.04
2016 5.63
2015 4.24
2014 4.06