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International Conference on Agents and Artificial Intelligence (ICAART)

Location: Lisbon , Portugal

Submission deadline: 10/10/2022

Conference dates: 2/16/2023 - 2/18/2023

Research H-index
9

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 373 92 121 9

Call for Papers

AREA 1: AGENTS

Agent Communication and Languages
Agent Models and Architectures
Agent Oriented Software Engineering
Autonomous Systems
Cognitive Robotics
Conversational Agents
Distributed Problem Solving
Economic Agent Models
Emotional Intelligence
Group Decision Making (with cooperation, coordination, negotiation, interaction protocols)
Intelligent Auctions and Markets
Mobile Agents
Multi-Agent Systems
Privacy, Safety, Security, and Ethical Issues
Programming Environments and Agent Platforms
Robot and Multi-Robot Systems
Self Organizing Systems
Simulation
Swarm Intelligence and Collective Intelligence
Task Planning and Execution
Web Intelligence and Semantic Web
AREA 2: ARTIFICIAL INTELLIGENCE

AI and Creativity
Ambient Intelligence
Bayesian Networks
Big Data
Case-Based Reasoning
Cognitive Systems
Constraint Satisfaction
Data Mining
Data Science
Deep Learning
e-Discovery
Evolutionary Computing
Explainable Artificial Intelligence
Fuzzy Systems
Hybrid Intelligent Systems
Industrial Applications of AI
Intelligence and Cybersecurity
Intelligent User Interfaces
Knowledge Representation and Reasoning
Knowledge-Based Systems
Legal Technologies
Machine Learning
Model-Based Reasoning
Natural Language Processing
Neural Networks
Ontologies
Planning and Scheduling
Quantum Artificial Intelligence
Social Network Analysis
Soft Computing
State Space Search
Uncertainty in AI
Vision and Perception
Visualization

Overview

The scientific conference ranking presented on this page highlights leading events within the field of Computer Science. This comprehensive ranking has been prepared by Research.com, a recognized authority in science research since 2014, providing trusted data and analytics on scientific contributions across all major disciplines, including Computer Science.

The position of each conference in the ranking is determined by a proprietary bibliometric score developed by Research.com. This unique score is calculated using an estimated h-index and the number of prominent scientists who have participated in the conference over the preceding three years, ensuring an accurate assessment of impact and influence within the scientific community.

Impact Score values included in this ranking were gathered as of 2024-11-27, reflecting the most up-to-date and comprehensive data available. The ranking process involved an extensive evaluation of more than 2,742 conferences, carefully selected through a rigorous inspection process. This analysis encompassed over 148,739 scientific documents published in the last three years by 13,184 leading and respected scientists specializing in Computer Science.

For more detailed information on the methodology and the sophisticated approach utilized in computing the ranking scores, please visit 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 Conference on Agents and Artificial Intelligence (based on the number of publications) are:

  • Yasuyuki Tahara (15 papers) published 3 papers at the last edition, 2 less than at the previous edition,
  • Akihiko Ohsuga (15 papers) published 3 papers at the last edition, 2 less than at the previous edition,
  • Yasushi Kambayashi (13 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Yuichi Sei (13 papers) published 3 papers at the last edition, 2 less than at the previous edition,
  • Munehiro Takimoto (12 papers) published 2 papers at the last edition, 1 more than at the previous 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 Conference on Agents and Artificial Intelligence (based on the number of publications) are:

  • German Research Centre for Artificial Intelligence (27 papers) absent at the last edition,
  • Czech Technical University in Prague (20 papers) published 5 papers at the last edition, 1 more than at the previous edition,
  • University of A Coruña (19 papers) absent at the last edition,
  • University of Minho (18 papers) absent at the last edition,
  • University of Electro-Communications (17 papers) published 3 papers at the last edition, 2 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 2019 edition, 6.98% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 7.50% were posted by at least one author from the top 10 institutions publishing at the conference. Another 8.12% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.37% of all publications and 70.00% 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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