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37th AAAI Conference on Artificial Intelligence

37th AAAI Conference on Artificial Intelligence

Washington D.C. , United States

Submission Deadline: Monday 08 Aug 2022

Conference Dates: Feb 07, 2023 - Feb 14, 2023

Research
Impact Score 32.10

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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: 32.10
Contributing Best Scientists: 1385
H5-index:
Papers published by Best Scientists 2688
Research Ranking (Computer Science) 6

Conference Call for Papers

Topics
AAAI-23 welcomes submissions reporting research that advances artificial intelligence, broadly conceived. The conference scope includes machine learning (deep learning, statistical learning, etc), natural language processing, computer vision, data mining, multiagent systems, knowledge representation, human-in-the-loop AI, search, planning, reasoning, robotics and perception, and ethics. In addition to fundamental work focused on any one of these areas we expressly encourage work that cuts across technical areas of AI, (e.g., machine learning and computer vision; computer vision and natural language processing; or machine learning and planning), bridges between AI and a related research area (e.g., neuroscience; cognitive science) or develops AI techniques in the context of important application domains, such as healthcare, sustainability, transportation, and commerce.

Overview

Top Research Topics at National Conference on Artificial Intelligence?

  • Artificial intelligence (42.07%)
  • Machine learning (14.06%)
  • Theoretical computer science (9.03%)

The conference mostly deals with topics like Artificial intelligence, Machine learning, Theoretical computer science, Natural language processing and Mathematical optimization. While the event focused on Artificial intelligence, it was also able to explore topics like Task (project management), Computer vision and Pattern recognition. Machine learning research discussed connects with the study of Data mining.

Discussions in the event are anchored in the subject of Robot and the similar topic of Human–computer interaction.

What are the most cited papers published at the conference?

  • A comparison of event models for naive bayes text classification (2631 citations)
  • Deep reinforcement learning with double Q-Learning (2303 citations)
  • Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning (2062 citations)

Research areas of the most cited articles at National Conference on Artificial Intelligence:

The published papers mainly deal with areas of study such as Artificial intelligence, Machine learning, Theoretical computer science, Natural language processing and Mathematical optimization. The conference publications focus on Artificial intelligence but the discussions also offer insight into other areas such as Domain (software engineering), Task (project management) and Pattern recognition. Issues in Machine learning were discussed in the most cited papers, taking into consideration concepts from other disciplines like Training set and Data mining.

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

The top authors publishing at National Conference on Artificial Intelligence (based on the number of publications) are:

  • Milind Tambe (95 papers) absent at the last edition,
  • Tuomas Sandholm (77 papers) published 2 papers at the last edition, 3 less than at the previous edition,
  • Peter Stone (76 papers) published 4 papers at the last edition, 3 more than at the previous edition,
  • Kenneth D. Forbus (66 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Qiang Yang (62 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

Only papers with recognized affiliations are considered

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

  • Carnegie Mellon University (862 papers) published 43 papers at the last edition, 41 less than at the previous edition,
  • Massachusetts Institute of Technology (528 papers) published 20 papers at the last edition, 34 less than at the previous edition,
  • Microsoft (514 papers) published 46 papers at the last edition, 45 less than at the previous edition,
  • Chinese Academy of Sciences (498 papers) published 95 papers at the last edition, 27 less than at the previous edition,
  • IBM (477 papers) published 45 papers at the last edition, 35 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 2021 edition, 5.41% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 24.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 8.34% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.17% of all publications and 48.48% 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.

Research.com

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Previous Editions

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