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IJCAI

31st International Joint Conference on Artificial Intelligence - IJCAI 2022 (IJCAI)

Location: Vienna , Austria

Submission deadline: 1/7/2022

Conference dates: 7/23/2022 - 7/29/2022

Research H-index
86

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 11 1264 1960 85

Call for Papers

Submissions to IJCAI-ECAI 22 should report on significant, original, and previously unpublished results on any aspect of artificial intelligence. Papers on novel AI research problems, on AI techniques for novel application domains, and papers that cross discipline boundaries within AI are especially encouraged.

Key novelties this year:

Two phase reviewing process. Only papers that receive two sufficiently positive reviews during the first phase will proceed to the second full reviewing phase.
The program committee consists of PC members (reviewers), Senior PC members (meta-reviewers) and Area Chairs (ACs).
The author response (for papers in the second phase only) will be accessible to PCs, SPCs, and ACs.
There are two special tracks (“AI for Good”, and “AI, the Arts and Creativity”) with separate calls for papers.
The authors of papers submitted to IJCAI-ECAI 2022 are expected to contribute a limited number of reviews, if asked to.
UPDATED: IJCAI-ECAI 2022 is trialing a light-weight ethics review policy. It is recommended that papers working with sensitive data or on sensitive tasks include an ethics statement. Reviewers will be asked to flag glaring violations of ethical principles. Such flagged submissions will be reviewed by the Ethics Chair.

The full call is available here (https://ijcai-22.org/calls-papers).

IMPORTANT DATES
Abstract submission deadline: January 7, 2022
Submission deadline: January 14, 2022
Author response period: March 16-18, 2022
Paper notification: April 20, 2022
Registration open: April 20, 2022
Conference dates: July 23-29, 2022

Overview

This comprehensive ranking showcases the leading scientific conferences in the field of Computer Science, meticulously compiled by Research.com, one of the premier platforms for science research across all major disciplines. Since 2014, Research.com has been trusted to provide accurate and authoritative data on scientific contributions, with a particular emphasis on the Computer Science domain.

The position of each conference in this ranking is determined by a proprietary bibliometric score developed by Research.com. This unique score combines the estimated h-index of the conference with the number of leading scientists who have participated in the event over the previous three years, providing a rigorous and multifaceted evaluation of the conference’s scientific impact.

The current edition of the ranking reflects Impact Score values collected as of 2024-11-27. The underlying analysis is the result of an extensive and systematic process, involving a detailed review and critical examination of more than 2,742 conferences. Eligibility was established through careful inspection of over 148,739 scientific documents published in the last three years by 13,184 prominent and internationally recognized scientists within the Computer Science field.

To ensure full transparency and uphold the highest standards of academic rigor, we invite you to review a detailed explanation of our scoring methodology, which can be found 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 Joint Conference on Artificial Intelligence (based on the number of publications) are:

  • Feiping Nie (40 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Qiang Yang (40 papers) absent at the last edition,
  • Boi Faltings (38 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Toby Walsh (38 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Craig Boutilier (36 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 Joint Conference on Artificial Intelligence (based on the number of publications) are:

  • Carnegie Mellon University (344 papers) published 11 papers at the last edition, 2 more than at the previous edition,
  • Chinese Academy of Sciences (272 papers) published 28 papers at the last edition, 24 less than at the previous edition,
  • Stanford University (255 papers) published 6 papers at the last edition, 2 more than at the previous edition,
  • IBM (240 papers) published 14 papers at the last edition, 5 less than at the previous edition,
  • Massachusetts Institute of Technology (231 papers) published 6 papers at the last edition, 2 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, 2.21% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 19.12% were posted by at least one author from the top 10 institutions publishing at the conference. Another 11.42% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.38% of all publications and 48.07% 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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