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IEEE

IEEE International Conference on Tools with Artificial Intelligence (ICTAI)

Submission deadline: 7/31/2022

Conference dates: 10/31/2022 - 11/2/2022

Research H-index
9

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 372 93 117 9

Call for Papers

Conference Categories
AI Foundations

Evolutionary computing, Bayesian and Neural Networks
Decision/Utility Theory and Decision Optimization
Search, SAT, and CSP
Description Logic and Ontologies

AI in Domain-specific Applications

AI in Computational Biology, Medicine and Biomedical Applications
AI in WWW, Communication, Social Networking, Recommender Systems, Games and E-Commerce
AI in Finance and Risk Management

AI in Computer Systems

AI in Robotics, Computer Vision and Games
AI in Natural Language Processing
AI in Software Engineering, Real-Time and Embedded Applications, and Sensor Networks
AI in Cloud Computing, Data-Intensive Applications and Online/Streaming and Multimedia Systems
AI in Web Search and Information Retrieval
AI in Computer Security, Data Privacy, and Information Assurance

AI in Data Analytics and Big Data

Visual Analytics for Big Data
Computational Modeling for Big Data
Large-scale Recommendation and Social Media Systems
Cloud/Grid/Stream Data Mining for Big Velocity Data
Semantic-based Big Data Mining
AI in Smart Cities

Healthcare, Traffic, Transportation, Environment, etc.

Machine Learning and Data Mining

Pre-processing, Dimension Reduction and Feature Selection computing, Bayesian and Neural Networks
Learning Graphical Models and Complex Networks
Active, Cost-Sensitive, Semi-Supervised, Multi-Instance, Multi-Label and Mulit-Task Learning
Transfer/Adaptive, Rational and Structured Learning
Preference/Ranking, Ensemble, and Reinforcement Learning

Knowledge Representation, Reasoning and Cognitive Modelling

Knowledge Representation, Reasoning
Knowledge Extraction, Management and Sharing
Case-based Reasoning and Knowledge-based Systems
Cognitive Modelling and Semantic Web

AI and Decision Systems

Decision Guidance and Support Systems
Optimization-based Recommender Systems
Group, Distributed, and Collaborative Decisions
Crowd-sourcing and Collective Intelligence Decision-making
Strategic, Tactical and Operational-level Decisions
Decision-making in Social and Mobile Networks

Uncertainty in AI

Uncertainty and Fuzziness Representation and Reasoning
Approximate/Exact Probabilistic Inference
Knowledge Discovery and Data Mining for Uncertain

Overview

The conference ranking presented on this page offers a comprehensive evaluation of scientific conferences within the field of Computer Science. Developed by Research.com, a recognized leader in providing expert-curated information on scientific research across major disciplines since 2014, this ranking is based on a robust and transparent methodology that emphasizes credibility and academic integrity.

Each conference's position in the ranking is determined by a unique bibliometric score devised by Research.com. This score is meticulously computed by integrating the estimated h-index and factoring in the number of prominent scientists who have contributed to the conference over the most recent three years. The Impact Score values displayed were collected as of 2024-11-27, ensuring the data reflects the latest contributions and developments in the field.

The ranking methodology involved a comprehensive appraisal process, during which more than 2,742 conferences were thoroughly assessed. This selection was the result of an extensive review of over 148,739 scientific documents published within the last three years, authored by 13,184 leading experts in Computer Science. Such rigorous selection criteria and in-depth bibliometric analysis underscore the reliability and scholarly value of the ranking.

For a more detailed explanation of our quantitative and qualitative assessment criteria, as well as further insight into the computation of 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 Tools with Artificial Intelligence (based on the number of publications) are:

  • Taghi M. Khoshgoftaar (18 papers) published 1 paper at the last edition,
  • Chongjun Wang (18 papers) published 2 papers at the last edition, 3 less than at the previous edition,
  • Barry O'Sullivan (16 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Nikolaos G. Bourbakis (15 papers) published 2 papers at the last edition,
  • George D. C. Cavalcanti (14 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 Conference on Tools with Artificial Intelligence (based on the number of publications) are:

  • University College Cork (28 papers) published 4 papers at the last edition, 1 less than at the previous edition,
  • Florida Atlantic University (25 papers) published 3 papers at the last edition,
  • Wright State University (22 papers) published 2 papers at the last edition,
  • Universidade de Pernambuco (22 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Nanjing University (21 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 2015 edition, 20.95% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.51% were posted by at least one author from the top 10 institutions publishing at the conference. Another 11.97% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.97% of all publications and 55.56% 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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