Last Updated on June 22, 2023

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining- Impact Score, Ranking, SJR, h-index, Citescore, Rating, Publisher, ISSN, and Other Important Details


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Impact Score

The impact Score or journal impact score (JIS) is equivalent to 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 mean number of citations of articles published in the last two years in a given journal, as indexed by Clarivate's Web of Science. On the other hand, Impact Score is based on Scopus data.

0.00

SJR

 1.004

h-Index

 192

Rank

 4334

Important Details

Title Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Type of Publication Conference and proceedings
Discipline Information Systems; Software
Impact Score 0.00
SCImago Journal Rank (SJR) 1.004
h-index 192
Overall Rank 4334
Publisher Name
Publication Country United States
International Standard Serial Number (ISSN) -
Coverage and History 2002-2003, 2005-2015
Best Quartile -
Total Citations Received
(Last 3 Year)
1842

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 published by . This conference and proceedings covers the area[s] related to Information Sys, Soft, etc. The coverage history of this conference and proceedings is as follows: 2002-2003, 2005-2015. The rank of this conference and proceedings is 4334. This conference and proceedings's impact score, h-index, and SJR are 0.00, 192, and 1.004, respectively. The ISSN of this conference and proceedings is/are as follows: -.

The best quartile of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is -. This conference and proceedings has received a total of 1842 citations during the last three years (Preceding 2018).


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


The latest impact score (IS) of the Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is 0.00. It is computed in the year 2019 as per its definition and based on Scopus data.

The impact score (IS), also denoted as the 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 Score Graph


Check below the Impact Score trends of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. This is based on Scopus data.


Year Impact Score (IS)
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

The h-index of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is 192. By definition of the h-index, this conference and proceedings has at least 192 published articles with more than 192 citations.

What is h-index?

The h-index (also known as the Hirsch index or Hirsh index) is a scientometric parameter used to evaluate the scientific impact of the publications and journals. It is defined as the maximum value of h such that the given Journal has published at least h papers and each has at least h citations.




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


The International Standard Serial Number (ISSN) of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is/are as follows: -.

The ISSN is a unique 8-digit identifier for a specific publication like Magazine or Journal. The ISSN is used in the postal system and in the publishing world to identify the articles that are published in journals, magazines, newsletters, etc. This is the number assigned to your article by the publisher, and it is the one you will use to reference your article within the library catalogues.

ISSN code (also called as "ISSN structure" or "ISSN syntax") can be expressed as follows: NNNN-NNNC
Here, N is in the set {0,1,2,3...,9}, a digit character, and C is in {0,1,2,3,...,9,X}

Table Setting

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


The Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is ranked 4334 among 27955 Journals, Conferences, and Book Series. As per 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.


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


Table Setting

The publisher of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is . The publishing house of this conference and proceedings is located in the United States. Its coverage history is as follows: 2002-2003, 2005-2015.


Call For Papers (CFPs)


Please check the official website of this conference and proceedings to find out the complete details and Call For Papers (CFPs).


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


If your area of research or discipline is related to Information Sys, Soft, etc., please check the conference and proceedings's official website to understand the complete publication process.


Acceptance Rate


There are several factors that influence the acceptance rate of any academic journal. Here are some critical parameters that are considered while calculating the acceptance rate:

  • Interest/demand of researchers/scientists for publishing in a specific journal/conference.
  • The complexity of the peer review process and timeline.
  • Time taken from draft submission to final publication.
  • Number of submissions received and acceptance slots
  • And Many More.

The simplest way to find out the acceptance rate or rejection rate of a Journal/Conference is to check with the journal's/conference's editorial team through emails or through the official website.



Frequently Asked Questions (FAQ)


What is the impact score of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining?

The latest impact score of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is 0.00. It is computed in the year 2019.


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

The latest h-index of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is 192. It is evaluated in the year 2019.


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

The latest SCImago Journal Rank (SJR) of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is 1.004. It is calculated in the year 2019.


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

The latest ranking of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is 4334. This ranking is among 27955 Journals, Conferences, and Book Series. It is computed in the year 2019.


Who is the publisher of 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 published by . The publication country of this conference and proceedings is United States.


What is the abbreviation of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining?

This standard abbreviation of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is .


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

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is a conference and proceedings published by .


What is the scope of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining?

The scope of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is as follows:

  • Information Systems
  • Software

For detailed scope of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, check the official website of this conference and proceedings.


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

The International Standard Serial Number (ISSN) of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is/are as follows: -.


What is the best quartile for Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining?

The best quartile for Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is -.


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

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


Credits and Sources


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

Note: The impact score 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.


Impact Score, SJR, h-Index, and Other Important metrics of These Journals, Conferences, and Book Series


Journal/Conference/Book Title Type Publisher Ranking SJR h-index Impact Score
European Union Politics Journal SAGE Publications Ltd 2250 72 2.64
Historia Journal Universidade Estadual Paulista 27560 7 0.02
Revue Francophone des Laboratoires (discontinued) Journal Elsevier Masson s.r.l. 23244 8 0.00
International Journal of Applied Linguistics Journal Wiley-Blackwell Publishing Ltd 7321 51 2.00
Educational Measurement: Issues and Practice Journal Wiley-Blackwell Publishing Ltd 4494 59 1.53
European Surgery - Acta Chirurgica Austriaca Journal Springer Medizin 16873 23 0.58
Korean Journal of Applied Microbiology and Biotechnology Journal Korean Society for Applied Microbiology 22033 0 0.00
Sapporo Medical Journal Journal Cancer Research Institute, Sapporo Medical University 20468 3 0.00
Asian Textile Journal Trade Journal G P S Kwatra 27455 10 0.01
Proteomics - Clinical Applications Journal Wiley-VCH Verlag 9140 59 2.02

Check complete list




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

Table: Impact Score

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



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