Location: Kaifeng , China
Submission deadline: 7/15/2022
Conference dates: 10/14/2022 - 10/16/2022
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 737 | 35 | 59 | 4 |
This ranking presents an authoritative assessment of scientific conferences in the field of Computer Science. The list has been meticulously compiled by Research.com, a leading platform recognized for delivering reliable and comprehensive data on scientific research and contributions since 2014. With a steadfast commitment to advancing the visibility and understanding of key scientific venues, Research.com upholds the highest standards in evaluating academic excellence.
The positions in this ranking are determined based on a unique bibliometric score, exclusively developed by Research.com. This score is calculated by integrating the estimated h-index of each conference with the number of distinguished scientists who have presented their research at the conference over the preceding three years. Such a multifaceted approach ensures a balanced and robust evaluation of conference impact and prestige within the global academic community.
The current ranking utilizes Impact Score values collected as of 2024-11-27, providing an up-to-date perspective rooted in rigorous data analysis. The comprehensive process for ranking involved the detailed examination of more than 2,742 conferences. This selection followed an exhaustive review of over 148,739 scientific documents published in the last three years by 13,184 leading and highly respected scientists specializing in Computer Science. Each stage of this process was grounded in careful inspection and peer-informed judgment by expert analysts, ensuring that the resulting ranking accurately reflects the landscape of scholarly excellence.
For a comprehensive explanation of the methodologies and criteria utilized in compiling the ranking and computing the bibliometric scores, please visit 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 International Conference on Information Science and Technology (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 International Conference on Information Science and Technology (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, 14.29% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 13.89% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.11% of all publications and 50.00% 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.
For students interested in expanding their knowledge beyond traditional Computer Science, several online degree options offer specialized skills aligned with evolving tech industries. Pursuing a data science masters online provides deep expertise in handling and analyzing large datasets, a crucial skill for roles in analytics and decision-making.
Those drawn to design and user experience can explore a ui ux degree online, focusing on creating intuitive digital interfaces and improving usability. This pathway is ideal for careers in product design and human-computer interaction.
The growing importance of secure and transparent digital transactions has sparked demand for blockchain knowledge. Students can develop this expertise through a blockchain degree, preparing them for work in cryptocurrency, fintech innovation, and related sectors.
Artificial intelligence is another rapidly expanding field; a bachelor applied artificial intelligence equips learners with practical AI applications and programming skills, opening doors to careers in automation, machine learning, and intelligent systems development.
City University of Hong Kong
Zhejiang University
University of Portsmouth
Huazhong University of Science and Technology
Liaocheng University
Liaoning University of Technology
Harbin Institute of Technology
Hunan Normal University
Dalian University of Technology
South China University of Technology
Shandong Normal University
University of California, Los Angeles