Ranking & Metrics
Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.
Research Impact Score:2.30
Contributing Best Scientists:22
H5-index:
Papers published by Best Scientists32
Research Ranking (Computer Science)34
Research Ranking (Mathematics)2
Conference Call for Papers
Solicited topics include, but are not limited to:
Models and estimation: graphical models, causality, Gaussian processes, approximate inference, kernel methods, nonparametric models, statistical and computational learning theory, manifolds and embedding, sparsity and compressed sensing, ...
Classification, regression, density estimation, unsupervised and semi-supervised learning, clustering, topic models, ...
Structured prediction, relational learning, logic and probability
Reinforcement learning, planning, control
Game theory, no-regret learning, multi-agent systems
Algorithms and architectures for high-performance computation in AI and statistics
Software for and applications of AI and statistics
Deep learning including optimization, generalization and architectures
Trustworthy learning, including learning with privacy and fairness, interpretability, and robustness
Overview
Top Research Topics at International Conference on Artificial Intelligence and Statistics?
Artificial intelligence (27.77%)
Algorithm (24.33%)
Machine learning (16.45%)
The topics of Artificial intelligence, Algorithm, Machine learning, Mathematical optimization and Applied mathematics are the focal point of discussions in International Conference on Artificial Intelligence and Statistics.
The research on Artificial intelligence discussed in it draws on the closely related field of Pattern recognition.
Topics in Algorithm explored in the event were investigated in conjunction with research in Kernel (statistics), Inference, Gaussian process, Graphical model and Estimator.
Topics in Mathematical optimization were tackled in line with various other fields like Function (mathematics) and Regret.
What are the most cited papers published at the conference?
Understanding the difficulty of training deep feedforward neural networks (8624 citations)
Deep Sparse Rectifier Neural Networks (3717 citations)
Communication-Efficient Learning of Deep Networks from Decentralized Data (2639 citations)
Research areas of the most cited articles at International Conference on Artificial Intelligence and Statistics:
The published papers mainly deal with areas of study such as Artificial intelligence, Machine learning, Algorithm, Pattern recognition and Mathematical optimization.
The Artificial intelligence research tackled in the conference papers is interrelated with Gaussian process which concerns subjects like Marginal likelihood.
The conference publications explore topics in Algorithm which can be helpful for research in disciplines like Function (mathematics), Graphical model, Artificial neural network and Dimensionality reduction.
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.
Research.com
Top authors and change 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.
Research.com
Top affiliations and change over time
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.
Research.com
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.
Research.com
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.
Research.com
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.
Research.com
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).
Research.com
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
