Location: Palo Alto , United States
Submission deadline: 11/29/2021
Conference dates: 3/21/2022 - 3/23/2022
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 714 | 10 | 12 | 5 |
The ranking presented on this page features leading scientific conferences in the field of Computer Science, providing an authoritative resource for both researchers and institutions seeking a comprehensive analysis of conference impact and importance. This ranking has been meticulously prepared by Research.com, a prominent and trusted platform recognized since 2014 for delivering accurate and insightful data on scientific contributions across all major disciplines, including Computer Science.
Each conference’s position in this ranking is determined based on a unique bibliometric score developed by Research.com. This score is the result of a rigorous calculation that considers both the estimated h-index and the number of leading scientists who have contributed to the conference over the most recent three-year period. Such a multidimensional assessment ensures a robust and reliable reputation metric, tailored to reflect real scientific influence.
Impact Score data for this ranking were compiled as of 2024-11-27, providing the most up-to-date and relevant insights for the scholarly community. The comprehensive process underlying the ranking involved a thorough examination of over 2,742 scientific conferences, carefully selected after detailed scrutiny and an in-depth review of more than 148,739 scientific documents. These documents were authored by 13,184 distinguished and well-respected computer science experts over the past three years, ensuring that each conference evaluated stands as a credible and influential venue for academic advancement.
By relying on a robust, data-driven methodology and harnessing expertise from across the Computer Science discipline, Research.com aims to provide the scientific community with reliable and actionable information. For a detailed overview of the methodology utilized in computing 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 AAAI Spring Symposium Combining Machine Learning with Knowledge Engineering (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 AAAI Spring Symposium Combining Machine Learning with Knowledge Engineering (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 2019 edition, 8.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 45.45% were posted by at least one author from the top 10 institutions publishing at the conference. Another 21.21% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 33.33% of all publications and 0.00% 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.
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University of South Carolina
The Open University
Information Technologies Institute, Greece
Polytechnic University of Milan
Netherlands Organisation for Applied Scientific Research
Allen Institute for Artificial Intelligence
Indiana University
German Research Centre for Artificial Intelligence
Kansas State University
Georgia Institute of Technology
Mohamed bin Zayed University of Artificial Intelligence
MIT
