Location: Durham , United Kingdom
Conference dates: 7/24/2022 - 7/27/2022
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 413 | 23 | 39 | 9 |
| Social Sciences and Humanities | 18 | 5 | 8 | 4 |
| Psychology | 29 | 2 | 2 | 2 |
This comprehensive ranking presents a curated list of scientific conferences in the field of Computer Science, meticulously evaluated to assist researchers, academics, and practitioners in identifying the most impactful venues for scholarly exchange. The ranking is an initiative of Research.com, one of the premier online platforms dedicated to science research across multiple major disciplines, including Computer Science. Since its inception in 2014, Research.com has established a reputation for providing reliable and trusted data on scientific contribution and impact.
The position of each conference in this ranking is determined by a unique bibliometric score, developed exclusively by Research.com. This metric is calculated using a combination of the estimated h-index and the number of leading scientists who have contributed to the respective conference over the past three years. The goal is to ensure a balanced and nuanced assessment that reflects both the quality and influence of the conference, as evidenced by participation from distinguished experts in the field.
The selection process for this ranking entailed an exhaustive review of more than 2,742 conferences, chosen after a rigorous analysis of over 148,739 scientific documents published within the last three years. This evaluation involved contributions from 13,184 renowned and respected scientists specializing in Computer Science, marking a substantial and data-driven effort to capture the current landscape of scientific advancement. The Impact Score values for this ranking were compiled as of 2024-11-27, ensuring the most up-to-date insights for the academic community.
For those interested in the technical aspects and specifics of the bibliometric evaluation, further details regarding the methodology employed in generating the ranking scores are available on 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 Educational Data Mining (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 Educational Data Mining (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, 13.49% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 47.71% were posted by at least one author from the top 10 institutions publishing at the conference. Another 4.59% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.18% of all publications and 27.52% 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.
In addition to these research areas and topics, there are numerous career opportunities in the field of Educational Data Mining. These oppportunities range from positions in academia, to unique roles in technology companies and nonprofits. One such career path is becoming a Board Certified Behavior Analyst (BCBA). BCBAs apply principles of learning, behavior, and methodologies that aid individuals in learning new behaviors or reducing problematic ones, especially in the context of Autism Spectrum Disorders. If you're interested in combining education, data mining, and assistive technology, consider finding out more about how to become a behavior analyst in Alaska. This intersection of education, data analysis, and practical application provides a promising career choice for those dedicated to improving education systems using data analytics within Alaska and beyond.
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