Location: Nassau , Bahamas
Submission deadline: 7/8/2022
Conference dates: 12/12/2022 - 12/15/2022
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 150 | 190 | 283 | 17 |
The scientific conference ranking presented on this page provides a comprehensive and authoritative assessment of conferences within the field of Computer Science. This ranking has been meticulously prepared by Research.com, a leading platform recognized for delivering trusted scientific data across all major research domains, including Computer Science, and supporting the academic community with reliable insights into scientific contributions since 2014.
Each conference’s position in the ranking is determined by a distinctive bibliometric score developed by Research.com. This score is calculated using a combination of the estimated h-index and the number of prominent scientists who have contributed to the conference over the preceding three years. By incorporating these key metrics, the ranking aims to reflect both the quality of contributions and the participation of influential researchers.
It is important to note that the Impact Score values included in this ranking have been collected as of 2024-11-27, ensuring the most current and relevant data. The ranking process was exceptionally thorough: more than 2,742 conferences were examined, following a rigorous selection and evaluation process. This intensive analysis involved the in-depth review of over 148,739 scientific documents published within the last three years by 13,184 leading and respected scientists in Computer Science.
The methodologies underpinning this ranking underscore the depth of research and analytical complexity involved, combining comprehensive bibliometric approaches with expert-driven evaluation criteria. We invite readers seeking a detailed understanding of the score computation and the complete methodology to 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 Machine Learning and Applications (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 Machine Learning and Applications (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 2016 edition, 6.45% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 10.34% were posted by at least one author from the top 10 institutions publishing at the conference. Another 4.02% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 8.05% of all publications and 77.59% 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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