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Proceedings of Machine Learning Research

The 25th International Conference on Artificial Intelligence and Statistics (AISTATS)

Submission deadline: 10/15/2021

Conference dates: 3/28/2022 - 3/30/2022

Research H-index
38

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mathematics 3 24 31 9
Computer Science 45 296 348 37

Call for Papers

Solicited topics include, but are not limited to:

Machine learning methods and algorithms (classification, regression, unsupervised and semi-supervised learning, clustering, logic programming, …)
Probabilistic methods (Bayesian methods, approximate inference, density estimation, tractable probabilistic models, probabilistic programming, …)
Theory of machine learning and statistics (optimization, computational learning theory, decision theory and bandits, game theory, frequentist statistics, information theory, …)
Deep learning (theory, architectures, reinforcement learning, generative models, optimization for neural networks, …)
Ethical and trustworthy machine learning (causality, fairness, interpretability, privacy, robustness, safety, …)
Applications of machine learning and statistics (including natural language, signal processing, computer vision, social sciences, sustainability and climate, healthcare, economics, …)

Overview

This ranking presents a comprehensive evaluation of scientific conferences in the field of Computer Science, curated to assist researchers and professionals in identifying the most influential venues for scholarly exchange and dissemination of cutting-edge findings. Developed by Research.com, one of the premier platforms dedicated to science research across all major disciplines, this ranking draws upon a decade of trusted experience in providing reliable data and insights into global scientific contributions.

Each conference’s position within the ranking is determined by a proprietary bibliometric score formulated by Research.com. This unique metric is constructed through the analysis of two critical indicators: the estimated h-index, reflecting scientific impact and citation performance, and the number of leading scientists who have participated in the conference over the past three consecutive years. Through this multifaceted approach, the ranking highlights conferences that consistently attract and foster the work of influential figures in the field.

The current edition of the ranking includes Impact Score values as of 2024-11-27, reflecting the most up-to-date data in this dynamic discipline. Constructing this robust evaluation involved a rigorous process: experts closely examined over 2,742 conferences, each selected following meticulous scrutiny of more than 148,739 scientific documents published over the last three years by a cohort of 13,184 distinguished scientists specializing in Computer Science.

This in-depth and methodical approach underscores the credibility and authority of the ranking, ensuring it serves as a reliable reference for conference selection and academic recognition. Further information regarding the methodology employed for calculating the ranking scores is available on 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 International Conference on Artificial Intelligence and Statistics (based on the number of publications) are:

  • Eric P. Xing (17 papers) absent at the last edition,
  • Barnabás Póczos (17 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Lawrence Carin (15 papers) published 3 papers at the last edition, 3 less than at the previous edition,
  • Aarti Singh (15 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Jeff Schneider (14 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.

Only papers with recognized affiliations are considered

The top affiliations publishing at International Conference on Artificial Intelligence and Statistics (based on the number of publications) are:

  • Carnegie Mellon University (107 papers) published 10 papers at the last edition, 11 less than at the previous edition,
  • Microsoft (41 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • University of California, Berkeley (37 papers) published 9 papers at the last edition, 2 more than at the previous edition,
  • University of Texas at Austin (35 papers) published 11 papers at the last edition, 5 more than at the previous edition,
  • Massachusetts Institute of Technology (33 papers) published 7 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 2017 edition, 5.85% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 32.92% were posted by at least one author from the top 10 institutions publishing at the conference. Another 17.39% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.60% of all publications and 26.09% 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.

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Best Scientists who published in this Conference

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