SDM 2021 : SIAM International Conference on Data Mining (SDM) (SDM)

The conference ranking presented on this page provides a comprehensive evaluation of scientific conferences in the field of Computer Science. Developed by Research.com—an authoritative source for science research information across all major disciplines since 2014—the ranking offers an insightful and trusted perspective on leading venues for scholarly exchange and innovation.

The position of each conference in this ranking is determined by a unique bibliometric score devised by Research.com. This score incorporates both the estimated h-index and the number of leading scientists who have contributed to the conference over the previous three years, ensuring that the assessment reflects both the impact and the prestige associated with each event.

For the 2024 edition of the ranking, Impact Score values were gathered on 2024-11-27. The meticulous process underlying this evaluation began with the examination of more than 2,742 conferences. Each conference was rigorously assessed through a detailed inspection of over 148,739 scientific documents published within the last three years. These publications represent the work of 13,184 leading and highly respected scientists in the Computer Science community, underscoring the exceptional depth and scholarly rigor that defines this ranking.

To understand the precise methodology and the analytical framework employed in computing the ranking scores, please refer to our Methodology Page.

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing at SIAM International Conference on Data Mining (based on the number of publications) are:

• Philip S. Yu (48 papers) published 1 paper at the last edition the same number as at the previous edition,
• Charu C. Aggarwal (31 papers) absent at the last edition,
• 俊郎 平本 (31 papers) absent at the last edition,
• Christos Faloutsos (28 papers) published 2 papers at the last edition, 2 less than at the previous edition,
• 重佳 渡辺 (27 papers) absent at the last edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing at SIAM International Conference on Data Mining (based on the number of publications) are:

• IBM (124 papers) published 5 papers at the last edition, 7 less than at the previous edition,
• Carnegie Mellon University (62 papers) published 3 papers at the last edition, 3 less than at the previous edition,
• Tohoku University (55 papers) absent at the last edition,
• University of Illinois at Chicago (49 papers) published 1 paper at the last edition the same number as at the previous edition,
• University of Minnesota (45 papers) published 4 papers at the last edition, 1 more than at the previous edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2019 edition, 4.55% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 11.90% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.81% of all publications and 39.29% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.