AAAI 2022 : AAAI Conference on Artificial Intelligence (AAAI)

The ranking presented on this page offers a comprehensive evaluation of scientific conferences within the field of Engineering and Technology. Developed by Research.com, a recognized leader in providing authoritative data on scientific research from all major fields since 2014, this ranking underscores our ongoing commitment to delivering reliable and well-grounded insights for the academic community.

Each conference's position in this ranking is determined by a unique bibliometric score, meticulously designed by Research.com. This score integrates two key indicators: the estimated h-index and the number of distinguished scientists who have participated in the conference over the past three years. The combination of these metrics ensures a balanced and rigorous assessment of conference impact and scholarly influence.

The Impact Score values utilized in this ranking were collected as of 2024-11-27, ensuring that the data reflects the most recent advancements and trends in Engineering and Technology research. The evaluation process encompassed a thorough review of over 2,262 conferences, meticulously chosen following detailed inspection and critical examination of more than 26,934 scientific documents published in the preceding three years. The assessment involved 9,385 leading and respected scholars in the Engineering and Technology domain, reinforcing the credibility and depth of this analysis.

For readers interested in understanding the specifics of the methodology and scoring process employed to generate the ranking, detailed information 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.

Top authors and change over time

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.

Top affiliations and change over time

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.

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, 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.

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.