Location: Valencia , Spain
Submission deadline: 3/14/2022
Conference dates: 6/15/2022 - 6/17/2022
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 625 | 13 | 10 | 6 |
This ranking presents a comprehensive evaluation of scientific conferences within the field of Computer Science. The ranking has been meticulously prepared by Research.com, a recognized leader in providing reliable data and analysis on scientific research across all major disciplines, including Computer Science, since 2014.
The position of each conference in this ranking is determined by a unique bibliometric score, an innovative metric developed by the experts at Research.com. This score is computed using two primary indicators: the estimated h-index and the number of leading scientists who have participated in the conference over the preceding three years. This multifaceted approach ensures an objective and rigorous assessment of each conference's academic impact and reputation.
The Impact Score values featured in this ranking were collected as of 2024-11-27, reflecting the most up-to-date and comprehensive insights available at the time of analysis. The process of assembling the ranking was both exhaustive and rigorous, involving close examination of over 2,742 conferences. These conferences were selected following a detailed inspection and critical review of more than 148,739 scientific documents authored in the last three years by 13,184 distinguished and influential scientists specializing in Computer Science.
For readers seeking more in-depth information about how the ranking scores were calculated and the specific methodologies employed, complete details 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 Applications of Natural Language to Data Bases (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 Applications of Natural Language to Data Bases (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, 3.45% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 12.50% were posted by at least one author from the top 10 institutions publishing at the conference. Another 10.71% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.64% of all publications and 57.14% 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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Overall, these varied pathways offer flexible and accessible options for learners looking to complement their Computer Science background and position themselves competitively in the job market.
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