ACL 2022: 60th Annual Meeting of the Association for Computational Linguistics (ACL)

This comprehensive ranking showcases leading scientific conferences within the field of Engineering and Technology. Developed by Research.com—one of the foremost websites dedicated to science research across all major disciplines—this ranking draws on a decade of providing authoritative data and insights into scientific contributions, with a particular emphasis on Engineering and Technology since 2014.

The ranking is determined using a unique bibliometric score pioneered by Research.com. This metric is calculated by analyzing both the estimated h-index and the presence of notable scientific leaders who have contributed to each conference over the past three years. The Impact Score values displayed here are based on data collected as of 2024-11-27, ensuring that the ranking reflects the most current and reliable information available.

A rigorous selection and evaluation process was employed to guarantee the integrity of the listing. More than 2,262 conferences were meticulously assessed, following the detailed inspection of over 26,934 scientific documents published within the last three years. Contributions were analyzed from 9,385 distinguished scientists recognized for their impactful research and esteemed reputations in the Engineering and Technology domain.

To maintain full transparency in our approach, comprehensive details regarding the methodology and criteria used to compute these ranking scores are made available to the public. For further information, 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 Meeting of the Association for Computational Linguistics (based on the number of publications) are:

• Ming Zhou (80 papers) published 8 papers at the last edition, 4 less than at the previous edition,
• Eduard Hovy (61 papers) published 6 papers at the last edition, 3 more than at the previous edition,
• Noah A. Smith (60 papers) published 5 papers at the last edition, 3 less than at the previous edition,
• Jun'ichi Tsujii (59 papers) absent at the last edition,
• Christopher D. Manning (58 papers) published 1 paper at the last edition, 3 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 Meeting of the Association for Computational Linguistics (based on the number of publications) are:

• Microsoft (497 papers) published 89 papers at the last edition, 19 more than at the previous edition,
• Carnegie Mellon University (459 papers) published 52 papers at the last edition, 4 less than at the previous edition,
• Google (284 papers) published 52 papers at the last edition, 6 less than at the previous edition,
• University of Edinburgh (277 papers) published 16 papers at the last edition, 8 less than at the previous edition,
• IBM (260 papers) published 32 papers at the last edition, 1 less 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 2021 edition, 6.21% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 29.78% were posted by at least one author from the top 10 institutions publishing at the conference. Another 14.12% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.10% of all publications and 40.00% 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.