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Association for Uncertainty in Artificial Intelligence

UAI 2021 : Conference on Uncertainty in Artificial Intelligence (UAI) (UAI)

Location: Online

Submission deadline: 2/19/2021

Conference dates: 7/26/2021 - 7/26/2021

Research H-index
15

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 186 130 128 15

Call for Papers

The list of subject areas appears to authors and reviewers in the CMT conference management system. Below you find a list for your reference.


Algorithms
Approximate Inference
Bayesian Methods
Belief Propagation
Exact Inference
Kernel Methods
Missing Data Handling
Monte Carlo Methods
Optimization - Combinatorial
Optimization - Convex
Optimization - Discrete
Optimization - Non-Convex
Probabilistic Programming
Randomized Algorithms
Spectral Methods
Variational Methods
Applications
Cognitive Science
Computational Biology
Computer Vision
Crowdsourcing
Earth System Science
Education
Forensic Science
Healthcare
Natural Language Processing
Neuroscience
Planning and Control
Privacy and Security
Robotics
Social Good
Sustainability and Climate Science
Text and Web Data
Learning
Active Learning
Adversarial Learning
Causal Learning
Classification
Clustering
Compressed Sensing and Dictionary Learning
Deep Learning
Density Estimation
Dimensionality Reduction
Ensemble Learning
Feature Selection
Hashing and Encoding
Multitask and Transfer Learning
Online and Anytime Learning
Policy Optimization and Policy Learning
Ranking
Recommender Systems
Reinforcement Learning
Relational Learning
Representation Learning
Semi-Supervised Learning
Structure Learning
Structured Prediction
Unsupervised Learning
Models
Bandits
(Dynamic) Bayesian Networks
Generative Models
Graphical Models - Directed
Graphical Models - Undirected
Graphical Models - Mixed
Markov Decision Processes
Models for Relational Data
Neural Networks
Probabilistic Circuits
Regression Models
Spatial and Spatio-Temporal Models
Temporal and Sequential Models
Topic Models and Latent Variable Models
Principles
Explainability
Causality
Computational and Statistical Trade-Offs
Fairness
Privacy
Reliability
Robustness
(Structured) Sparsity
Representation
Constraints
Dempster-Shafer
(Description) Logics
Imprecise Probabilities
Influence Diagrams
Knowledge Representation Languages
Theory
Computational Complexity
Control Theory
Decision theory
Game theory
Information Theory
Learning Theory
Probability Theory
Statistical Theory

Overview

This comprehensive ranking presents a curated list of scientific conferences within the field of Computer Science, reflecting the most impactful events based on rigorous analysis. Compiled by Research.com—one of the leading platforms for science research across major fields and a trusted source of scientific contribution data since 2014—this ranking serves as a valuable resource for academics and professionals seeking authoritative information on conference quality.

The ranking positions are determined by a unique bibliometric score developed by Research.com. This score is calculated through a robust methodology that takes into account the estimated h-index of the conferences and the number of leading scientists who have contributed to each event over the most recent three-year period. The current listing utilizes Impact Score values collected as of 2024-11-27, ensuring a timely and relevant assessment.

The evaluation process for this ranking was founded on the meticulous examination of over 2,742 conferences, selected following a detailed inspection and comprehensive analysis. This involved a thorough review of more than 148,739 scientific documents published within the last three years, authored by 13,184 distinguished scientists recognized for their contributions to the Computer Science discipline. This depth of research and complexity of analysis underscores the expertise and dedication that inform the results presented here.

For a detailed explanation of the methodology employed in computing the ranking scores, including definitions, data sources, and scoring formulae, 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 Uncertainty in Artificial Intelligence (based on the number of publications) are:

  • David Heckerman (57 papers) absent at the last edition,
  • Judea Pearl (43 papers) absent at the last edition,
  • Eric Horvitz (34 papers) absent at the last edition,
  • Daphne Koller (34 papers) absent at the last edition,
  • Ross D. Shachter (32 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 Uncertainty in Artificial Intelligence (based on the number of publications) are:

  • Stanford University (180 papers) published 4 papers at the last edition the same number as at the previous edition,
  • Carnegie Mellon University (153 papers) published 10 papers at the last edition, 6 more than at the previous edition,
  • Microsoft (126 papers) published 9 papers at the last edition, 7 more than at the previous edition,
  • University of California, Los Angeles (89 papers) published 3 papers at the last edition the same number as at the previous edition,
  • University of California, Berkeley (87 papers) published 6 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, 2.44% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 13.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.50% of all publications and 47.50% 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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