IEEE International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)

This comprehensive ranking presents a curated list of scientific conferences in the field of Computer Science. Developed by Research.com, a recognized leader in science research across all major domains—including Computer Science—and a provider of trusted scientific data since 2014, the ranking is designed to offer researchers, institutions, and professionals a reliable reference for evaluating conference impact.

The position of each conference within the ranking is determined by a unique bibliometric score devised by Research.com's team of experts. This score is calculated based on two main factors: the estimated h-index associated with the conference and the number of leading scientists who have presented at the conference over the preceding three years. By integrating these metrics, the ranking highlights conferences that not only attract high-impact research but also serve as focal points for influential contributors in the field.

The current Impact Score values featured here were gathered as of 2024-11-27, ensuring the relevance and timeliness of the data. The ranking process was extensive and meticulous, involving the examination of over 2,742 conferences. Selection was achieved through detailed scrutiny and rigorous analysis of more than 148,739 scientific documents published in the past three years by 13,184 distinguished and accomplished computer science researchers.

This depth of analysis underscores the commitment to accuracy and credibility that characterizes the Research.com rankings. For a comprehensive explanation of the scoring system and a detailed overview of the methodology applied, 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.

Top authors and change over time

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

• Heidar Ali Shayanfar (27 papers) absent at the last edition,
• Oscar Castillo (26 papers) absent at the last edition,
• Patricia Melin (25 papers) absent at the last edition,
• Sunil Kumar Khatri (25 papers) absent at the last edition,
• David de la Fuente (25 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 International Conference on Artificial Intelligence (based on the number of publications) are:

• Chinese Academy of Sciences (130 papers) published 25 papers at the last edition, 1 more than at the previous edition,
• Harbin Institute of Technology (111 papers) published 24 papers at the last edition, 6 less than at the previous edition,
• Amity University (93 papers) published 1 paper at the last edition the same number as at the previous edition,
• Beijing University of Posts and Telecommunications (91 papers) published 26 papers at the last edition, 8 less than at the previous edition,
• Russian Academy of Sciences (84 papers) published 1 paper at the last edition, 15 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, 21.65% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 8.12% were posted by at least one author from the top 10 institutions publishing at the conference. Another 5.47% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.55% of all publications and 73.86% 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.