World's Best Scientists 2026 revealed!
IEEE

International Conference on Computer and Automation Engineering (ICCAE)

Location: Sydney , Australia

Submission deadline: 10/15/2022

Conference dates: 3/3/2023 - 3/5/2023

Research H-index
6

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 808 5 4 2
Computer Science 793 12 11 4

Call for Papers

Topics of interest for submission include, but are not limited to:

T1: Modern and Advanced Control Strategies T2: Human-Machine Systems
. Neural Networks Control
. Fuzzy Logic Control
. Genetic Algorithms & Evolutionary Control
. Model-Predictive Control
. Adaptive and Optimal Control
. Intelligent Control Systems
. Fault Diagnosis
. Intelligent agents
. Industrial Automations
. Man-Machine Systems
. Human Computer Interaction
. Human Factors in system Design
. Command and Control Systems
. Virtual Reality





T3: Multimedia and Communication Systems T4: Hybrid Systems
. Multimedia and New Media
. High Speed Communication
. Hyper Network Communication
. Computational Intelligence and Telecommunications
. Fuzzy Evolutionary Systems
. Fuzzy Expert Systems
. Fuzzy Neural Systems
. Neural Genetic Systems
. Neural-Fuzzy-Genetic Systems
. Hybrid Systems for Optimization

T5: Robotics and Automation T6: Decision Making and Information Retrieval
. Robot Dynamics and Control
. Human-robot Systems
. Intelligent Robots
. Autonomous Robots
. Home Robots
. Robotics and Automation

. Case-Based Reasoning
. Decision Analysis
. Intelligent Databases & Information Retrieval
. Dynamic Systems Modeling
. Decision Support Systems
. Multi-criteria Decision Making
. Qualitative and Approximate-Reasoning Modeling
. Behavioral Decision Making
. Distributed Decision Making
. Information and Decision Systems
. Risk Management
T7: Data Analysis, Prediction and Model Identification T8: Control System Applications
. Signal Processing
. Prediction and Time Series Analysis
. System Identification
. Data Fusion and Mining
. Knowledge Discovery
. Intelligent Information Systems
. Image Processing
. Image Understanding
. Parallel Computing applications in Identification &Control
. Pattern Recognition
. Clustering
. Classification . Manufacturing Systems
. Transportation Systems
. Medical and Health Care Systems
. Medical Decision Making
. Rehabilitation Systems
. Socio-economical Systems
. Service and Public Sector Systems
. Energy Systems
. Environmental Systems
. Technological Forecasting
. Financial Engineering
. Communication Networks and Protocol
. Military Systems

Overview

The conference ranking presented on this page showcases leading scientific conferences in the field of Computer Science, relying on robust, data-driven methodologies to ensure accuracy and credibility. This ranking has been meticulously developed by Research.com, a highly regarded platform that has provided trusted data on scientific contributions across all major fields, including Computer Science, since 2014.

Conference positions within the ranking are determined based on a unique bibliometric score created by Research.com. This score employs a sophisticated approach, integrating estimated h-index values and analyzing the participation of leading scientists who have contributed to each conference over the preceding three years. The ranking utilizes Impact Score values collected as of 2024-11-27, bringing the most current perspective to the academic community.

The formation of this ranking involved an extensive and rigorous evaluation of the field: over 2,742 conferences were considered, each chosen through a detailed review process involving the examination of more than 148,739 scientific documents published in the last three years. Contributions from 13,184 leading and well-respected scientists in Computer Science were analyzed to ensure the results accurately reflect the quality and impact of each event.

To learn more about the methodology behind the conference ranking and the computation of bibliometric scores, 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.

The top authors publishing at International Conference on Computer and Automation Engineering (based on the number of publications) are:

  • Jocelyn Flores Villaverde (3 papers) published 3 papers at the last edition,
  • Noel B. Linsangan (2 papers) published 2 papers at the last edition,
  • Jumelyn L. Torres (2 papers) published 2 papers at the last edition,
  • Megat F. Zuhiri (1 papers) published 1 paper at the last edition,
  • V. Kh. Pshikhopov (1 papers) published 1 paper 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 Computer and Automation Engineering (based on the number of publications) are:

  • Mapúa Institute of Technology (5 papers) published 5 papers at the last edition,
  • Trinity College, Dublin (2 papers) published 2 papers at the last edition,
  • National University of Sciences and Technology (1 papers) published 1 paper at the last edition,
  • José Rizal University (1 papers) published 1 paper at the last edition,
  • Beihang University (1 papers) published 1 paper at the last 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, 13.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 50.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 26.92% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.08% of all publications and 0.00% 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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