Asian Conference on Machine Learning (ACML)

This comprehensive ranking showcases the leading scientific conferences in the field of Computer Science. Developed by Research.com—one of the premier platforms recognized for its contribution to science research across all major disciplines—this ranking delivers trusted insights built upon a robust body of scientific data accumulated since 2014.

The position of each conference is determined by a proprietary bibliometric score, uniquely formulated by Research.com. This score incorporates both the estimated h-index and the number of distinguished scientists who have participated in each conference over the previous three years, ensuring a balanced and multidimensional appraisal of scientific excellence and influence.

The current Impact Score values were gathered on 2024-11-27, reflecting the most recent and relevant data available. The rigorous evaluation process involved the examination of over 2,742 conferences. These were meticulously selected following detailed scrutiny and the rigorous analysis of more than 148,739 scientific documents published in the past three years by 13,184 foremost scientists in Computer Science. This process underscores the depth and thoroughness of our methodology, which is designed to offer an accurate and authoritative reference for academics and professionals alike.

For further insights and a detailed description of the procedures and criteria used in the computation of 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 Asian Conference on Machine Learning (based on the number of publications) are:

• Masashi Sugiyama (10 papers) published 2 papers at the last edition, 3 less than at the previous edition,
• Dinh Phung (7 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• Zhi-Hua Zhou (6 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• Hsuan-Tien Lin (6 papers) absent at the last edition,
• Svetha Venkatesh (6 papers) published 1 paper at the last edition the same number as at the previous 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 Asian Conference on Machine Learning (based on the number of publications) are:

• University of Tokyo (13 papers) published 2 papers at the last edition, 4 less than at the previous edition,
• Nanyang Technological University (11 papers) absent at the last edition,
• Nanjing University (9 papers) published 2 papers at the last edition, 2 less than at the previous edition,
• Deakin University (8 papers) published 2 papers at the last edition the same number as at the previous edition,
• National Taiwan University (7 papers) absent at the last 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 2016 edition, 12.50% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 32.14% were posted by at least one author from the top 10 institutions publishing at the conference. Another 17.86% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.00% of all publications and 25.00% 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.