ASRU 2021 : IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)

The ranking presented on this page features scientific conferences in the field of Computer Science, meticulously curated and evaluated by Research.com—a recognized leader in providing reliable data and insight into scientific contributions across all major fields since 2014. This esteemed ranking is crafted to provide academics, researchers, and professionals with an authoritative resource for identifying top conferences in the ever-evolving domain of Computer Science.

Each conference's position within the ranking is determined by Research.com's proprietary bibliometric score, which incorporates both the estimated h-index and the number of eminent scientists who have participated in the conference over the preceding three years. This approach ensures a quantitative and qualitative assessment of scientific impact and leadership in the field. The Impact Score values reported were collected on 2024-11-27, guaranteeing that the data reflects the most up-to-date evaluation period.

The ranking process involved a comprehensive review of more than 2,742 conferences, carefully selected following an exhaustive examination of over 148,739 scientific publications produced in the last three years by 13,184 leading and widely respected scientists in Computer Science. This extensive analysis highlights the rigour and depth of the evaluation, ensuring that only conferences of genuine scientific merit are included.

For an in-depth understanding of the unique methodology applied in calculating the ranking scores and the bibliometric criteria employed, 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 IEEE Automatic Speech Recognition and Understanding Workshop (based on the number of publications) are:

• Mark J. F. Gales (22 papers) published 8 papers at the last edition, 7 more than at the previous edition,
• Satoshi Nakamura (21 papers) published 5 papers at the last edition, 4 more than at the previous edition,
• Hermann Ney (20 papers) published 2 papers at the last edition, 1 more than at the previous edition,
• Lin-Shan Lee (20 papers) published 3 papers at the last edition, 2 more than at the previous edition,
• Bhuvana Ramabhadran (18 papers) published 1 paper at the last edition, 4 less than 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 IEEE Automatic Speech Recognition and Understanding Workshop (based on the number of publications) are:

• IBM (63 papers) published 2 papers at the last edition, 7 less than at the previous edition,
• Microsoft (44 papers) published 7 papers at the last edition, 5 more than at the previous edition,
• Carnegie Mellon University (36 papers) published 4 papers at the last edition, 6 less than at the previous edition,
• University of Cambridge (36 papers) published 10 papers at the last edition, 8 more than at the previous edition,
• Johns Hopkins University (27 papers) published 4 papers at the last edition, 2 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 2015 edition, 3.74% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 30.10% were posted by at least one author from the top 10 institutions publishing at the conference. Another 12.62% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 30.10% of all publications and 27.18% 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.