Location: Shanghai , China
Submission deadline: 3/31/2022
Conference dates: 10/7/2022 - 10/14/2022
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 757 | 9 | 12 | 2 |
| Computer Science | 943 | 15 | 19 | 2 |
This ranking presents a comprehensive evaluation of scientific conferences in the field of Computer Science, meticulously compiled by Research.com—one of the leading platforms for science research worldwide. Since 2014, Research.com has been recognized for providing trusted, data-driven insights across all major scientific fields, including authoritative evaluations within Computer Science.
The ranking is determined using a unique bibliometric score, exclusively developed by the Research.com team. This score is calculated by incorporating both the estimated h-index of each conference and the number of leading scientists who have made appearances at the event over the preceding three years. Such an approach ensures a balanced assessment that considers both academic impact and researcher engagement.
Impact Score values featured in this ranking were meticulously gathered as of 2024-11-27, guaranteeing that the data reflects the most recent developments and contributions within the domain. The methodology for ranking involved an exhaustive examination of more than 2,742 computer science conferences, selected after a rigorous analysis of over 148,739 scientific documents published during the previous three years. These documents were authored by 13,184 leading and highly respected scientists in the Computer Science community, further underlining the depth and reliability of the analysis.
For further and more detailed information regarding the scoring system and selection process, 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 Embedded Software (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 Embedded Software (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 2017 edition, 5.88% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 43.75% were posted by at least one author from the top 10 institutions publishing at the conference. Another 3.12% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.00% of all publications and 28.12% 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.
Expanding your knowledge beyond traditional computer science can open many doors in today’s tech-driven world. For those interested in handling complex data, pursuing an ms data science online offers a flexible way to gain expertise in analyzing and interpreting large datasets. This skill is highly sought after in industries ranging from healthcare to finance.
Design-focused students may find that a ui degree provides the creative and technical knowledge needed to create user-friendly digital experiences. As companies prioritize customer engagement, UI/UX professionals are in increasing demand.
For those interested in cutting-edge technology, earning a masters in cryptocurrency is an excellent path to enter the rapidly evolving world of blockchain, fintech, and digital assets. This field is revolutionizing how transactions and contracts are managed globally.
Finally, an artificial intelligence degree equips students with skills to develop intelligent systems that can learn and adapt. AI professionals are shaping the future across sectors like robotics, automation, and data science, making this an exciting and impactful career choice.
University of California, Berkeley
Max Planck Institute for Software Systems
Sant'Anna School of Advanced Studies
University of California, San Diego
Arizona State University
Technical University of Darmstadt
Karlsruhe Institute of Technology
Karlsruhe Institute of Technology
University of North Carolina at Chapel Hill
University College London
Technical University of Denmark
Toyota Motor Corporation (Japan)