World's Best Scientists 2026 revealed!
ACL

NAACL 2027 — Annual Conference of the North American Chapter of the ACL (NAACL)

Location: San Francisco, CA , United States

Conference dates: 6/1/2027 - 6/5/2027

Research H-index
79

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 17 641 1115 76
Social Sciences and Humanities 1 17 22 12

Call for Papers

NAACL is one of the flagship conferences in computational linguistics and natural language processing. It invites long and short papers on all areas of NLP, including large language models, machine translation, information extraction and retrieval, dialogue and interactive systems, speech and multimodality, linguistic theory and resources, interpretability, ethics and fairness, and NLP applications in the social sciences, education and health. Submissions go through the ACL Rolling Review process, and accepted papers appear in the ACL Anthology together with workshops, tutorials and system demonstrations.

Overview

This ranking showcases the most influential scientific conferences in the field of Computer Science, meticulously curated and evaluated to provide researchers, academics, and professionals with reliable insights into academic excellence. Developed by Research.com—a leading science research platform renowned for delivering trusted data on scientific contributions across all major disciplines since 2014—this ranking is founded on a rigorous and transparent methodology to ensure accuracy and credibility.

Conference positions within the ranking are determined by a unique bibliometric score, innovatively created by Research.com experts. This score is computed by combining the estimated h-index and the number of leading scientists who have presented at each conference during the last three years. By integrating these key indicators, the ranking reflects not only research impact but also the caliber of thought leadership associated with each conference.

The Impact Score values featured in this ranking were collected on 2024-11-27, ensuring timely and up-to-date evaluation. The ranking process incorporated an exhaustive review of more than 2,742 conferences. These events were shortlisted following a comprehensive and detailed examination of over 148,739 scientific documents published within the past three years by 13,184 of the field’s leading and highly respected scientists.

This extensive analysis underlines the depth of research and the demanding selection criteria applied by Research.com’s team of experts to guarantee the integrity and relevance of the final ranking. For readers interested in further details regarding the methodology and computation of 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.

The top authors publishing at North American Chapter of the Association for Computational Linguistics (based on the number of publications) are:

  • Noah A. Smith (40 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Dan Roth (31 papers) published 7 papers at the last edition, 4 more than at the previous edition,
  • Dan Jurafsky (30 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Dan Klein (29 papers) published 4 papers at the last edition, 3 more than at the previous edition,
  • Eduard Hovy (28 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.

Only papers with recognized affiliations are considered

The top affiliations publishing at North American Chapter of the Association for Computational Linguistics (based on the number of publications) are:

  • Carnegie Mellon University (261 papers) published 45 papers at the last edition, 9 more than at the previous edition,
  • Microsoft (202 papers) published 51 papers at the last edition, 22 more than at the previous edition,
  • University of Washington (156 papers) published 17 papers at the last edition, 8 less than at the previous edition,
  • Johns Hopkins University (143 papers) published 13 papers at the last edition, 2 less than at the previous edition,
  • IBM (139 papers) published 25 papers at the last edition, 3 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 2021 edition, 3.17% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 34.14% were posted by at least one author from the top 10 institutions publishing at the conference. Another 14.14% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.55% of all publications and 35.17% 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.

Related Online Degrees & Career Pathways

For those interested in studying Computer Science in the USA, exploring online degree options can be a cost-effective and flexible way to advance your education. Programs like the affordable online computer science degree offer quality education without the hefty price tag often associated with traditional on-campus courses.

Veterans seeking to pivot into tech will find tailored support through cybersecurity programs online for veterans, which provide specialized coursework and resources to ease their transition into this fast-growing field.

Career pathways in emerging areas like artificial intelligence are also gaining traction. For example, those looking to specialize can learn how to become an AI trainer, a role critical for developing machine learning models and AI systems.

Moreover, supplementing formal degrees with targeted skills through cyber security courses can boost employability and keep professionals current in this fast-evolving industry. These certificates often serve as practical stepping stones toward more advanced career positions.

Best Scientists who published in this Conference

Related Articles

Recently Published Articles