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 |
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).
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.
Year | Impact Score (IS) |
---|---|
2023/2024 | Coming Soon |
2018 | 0.00 |
2017 | 7.04 |
2016 | 5.63 |
2015 | 4.24 |
2014 | 4.06 |
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.
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.
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}
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.
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.
Please check the official website of this conference and proceedings to find out the complete details and Call For Papers (CFPs).
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.
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:
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.
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.
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.
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.
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.
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.
This standard abbreviation of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is .
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is a conference and proceedings published by .
The scope of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is as follows:
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.
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 best quartile for Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is -.
The coverage history of Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining is as follows 2002-2003, 2005-2015.
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.
Journal/Conference/Book Title | Type | Publisher | Ranking | SJR | h-index | Impact Score |
---|---|---|---|---|---|---|
Proceedings of the ASME Turbo Expo | Conference And Proceedings | 17577 | 54 | 0.00 | ||
Istanbul University - Journal of Electrical and Electronics Engineering | Journal | University of Istanbul | 24654 | 0 | 0.00 | |
Transnational Corporations | Journal | UNCTAD United Nations Conference on Trade and Development | 6120 | 27 | 1.92 | |
International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS | Conference And Proceedings | Association for Computing Machinery (ACM) | 781 | 100 | 8.01 | |
Brazilian Symposium of Computer Graphic and Image Processing | Conference And Proceedings | 16004 | 32 | 0.00 | ||
Cardiovascular Journal of Africa | Journal | Clinics Cardive Publishing (PTY)Ltd | 16569 | 39 | 0.66 | |
WSEAS Transactions on Environment and Development | Journal | World Scientific and Engineering Academy and Society | 17731 | 23 | 1.33 | |
PLoS ONE | Journal | Public Library of Science | 5108 | 404 | 3.75 | |
Expert Review of Obstetrics and Gynecology | Journal | Expert Reviews Ltd. | 17060 | 21 | 0.00 | |
Journal of Simulation | Journal | Taylor and Francis Ltd. | 7210 | 28 | 3.16 |
Year | Impact Score (IS) |
---|---|
2019/2020 | Updated Soon |
2018 | 0.00 |
2017 | 7.04 |
2016 | 5.63 |
2015 | 4.24 |
2014 | 4.06 |