Location: Orlando , United States
Conference dates: 6/19/2023 - 6/23/2023
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 127 | 130 | 157 | 19 |
The scientific conference ranking presented on this page offers a comprehensive evaluation of conferences within the field of Computer Science. This ranking is curated by Research.com, a distinguished resource for science research recognized across all major disciplines. Since 2014, Research.com has provided trusted data on scientific contributions, establishing itself as a reliable authority in the field.
The position of each conference in this ranking is determined by a unique bibliometric score, meticulously developed by Research.com’s experts. This robust score is calculated by integrating both the estimated h-index and the number of leading scientists who have participated in the conference over the prior three-year period. The most recent Impact Score values were collected as of 2024-11-27, ensuring that the ranking reflects the latest trends and contributions in Computer Science research.
The process used to establish this ranking involved a thorough analysis of over 2,742 conferences, carefully selected following an extensive examination of more than 148,739 scientific publications authored in the last three years. These documents represent the scientific output of 13,184 leading experts in Computer Science. Such rigorous scrutiny guarantees that only conferences with the highest standards of scientific excellence are considered.
For readers interested in further details about the methodology and the specific processes involved in computing the bibliometric scores, a comprehensive explanation is accessible 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 Measurement and Modeling of Computer Systems (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 Measurement and Modeling of Computer Systems (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 2021 edition, 1.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 28.38% were posted by at least one author from the top 10 institutions publishing at the conference. Another 4.05% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.62% of all publications and 45.95% 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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California Institute of Technology
MIT
University of Massachusetts Amherst
Pennsylvania State University
Carnegie Mellon University
Delft University of Technology
Chinese University of Hong Kong
Duke University
University of Massachusetts Amherst
University of Calgary
The University of Texas at Austin
University of Michigan–Ann Arbor
