Location: Osaka , Japan
Conference dates: 10/18/2022 - 10/21/2022
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 626 | 14 | 18 | 3 |
| Computer Science | 744 | 26 | 65 | 4 |
The conference ranking presented on this page highlights leading scientific conferences in the field of Electronics and Electrical Engineering. This ranking has been meticulously prepared by Research.com, a highly respected platform renowned for providing reliable and comprehensive data on scientific research across all major academic areas. Since 2014, Research.com has established itself as a trusted source for insights and analytics on scientific contributions, including within the domain of Electronics and Electrical Engineering.
Conference positions in this ranking are determined by a distinctive bibliometric score developed by Research.com. This score reflects a robust combination of metrics, specifically the estimated h-index and the number of leading scientists presenting at each conference over the past three years. These metrics collectively ensure that the ranking captures both the scholarly impact and the prestige associated with each conference.
The Impact Score values utilized in the current ranking were gathered as of 2024-11-27. The compilation process entailed a rigorous evaluation of over 2,204 conferences, carefully selected through an extensive review of more than 95,378 scientific documents published within the last three years. These documents were authored by 6,160 eminent and well-respected scientists specializing in Electronics and Electrical Engineering, ensuring that only the most influential forums are represented.
This thorough and methodical approach underscores the credibility and depth of analysis that underpin the ranking, providing researchers and professionals with a reliable resource for the advancement of scientific collaboration and discovery.
For a detailed explanation of the methodology used to compute the ranking scores, please refer to our Methodology Page.
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 IEEE Global Conference on Consumer Electronics (based on the number of publications) are:
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 IEEE Global Conference on Consumer Electronics (based on the number of publications) are:
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.
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 2020 edition, 6.89% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 34.73% were posted by at least one author from the top 10 institutions publishing at the conference. Another 11.58% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 24.44% of all publications and 29.26% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Studying Computer Science in the USA opens diverse opportunities not only in traditional tech roles but also in interdisciplinary fields. Many students expand their expertise by pursuing specialized programs such as a data analytics master's degree, which enhances skills in managing and interpreting large datasets—an essential asset in today’s data-driven world.
For those aiming at advanced research or academic positions, an online doctorate data science offers flexibility while equipping candidates with cutting-edge knowledge in machine learning and artificial intelligence.
Interdisciplinary careers, like those stemming from a bioinformatics degree career options, blend computer science with biology, opening pathways in healthcare, pharmaceuticals, and genetic research.
Additionally, for tech professionals interested in healthcare, exploring medical degrees online that pay well can lead to rewarding roles where technology and medicine intersect, such as medical informatics or telemedicine development.
Tokai University
Ritsumeikan University
Sony (Japan)
Tokyo Institute of Technology
Asia University Taiwan
Imperial College London
Lanzhou University
National Cheng Kung University
Zhejiang University
Kobe University
Tohoku University
City University of Hong Kong