Location: San Antonio , United States
Conference dates: 5/9/2023 - 5/12/2023
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 98 | 37 | 64 | 12 |
| Computer Science | 155 | 91 | 129 | 17 |
The Computer Science Conference Ranking presented on this page is a comprehensive evaluation of scientific conferences within the field of Computer Science. This ranking has been meticulously prepared by Research.com, a premier and trusted platform that has been delivering authoritative data on scientific research and contributions across all major disciplines—including Computer Science—since 2014.
The methodology underpinning this ranking leverages a unique bibliometric score developed by Research.com. This score is calculated through a rigorous assessment framework that incorporates the estimated h-index of the conference and the number of leading scientists who have presented their work at the event over the previous three years. The result is a robust and objective performance indicator for each conference.
The Impact Score values, as presented in these rankings, have been collected as of 2024-11-27, ensuring that the information reflects the most current landscape of scholarly excellence. The ranking process entailed an exhaustive review of over 2,742 conferences, each selected following a thorough evaluation of more than 148,739 scientific documents. These documents were authored by 13,184 distinguished and highly respected scientists in the Computer Science community during the last three years.
This extensive and nuanced analysis underscores Research.com’s commitment to delivering rankings that are both rigorous and transparent. For an in-depth explanation of the score calculation and the selection process, please see the detailed procedures outlined 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 Information Processing in Sensor Networks (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 Information Processing in Sensor Networks (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, 3.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 35.63% were posted by at least one author from the top 10 institutions publishing at the conference. Another 26.44% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.09% of all publications and 21.84% 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.
Pursuing a computer science education online offers flexibility and access to diverse specializations. One of the most important considerations is finding an affordable program, which is why exploring the computer science degree cost can help students balance quality and budget effectively.
For veterans interested in technology careers, many universities provide tailored options. The veteran friendly online cybersecurity degree programs are designed to support veterans with flexible schedules, relevant coursework, and career services that ease the transition to civilian tech roles.
Cybersecurity remains a critical and growing field. To start or advance in this area, enrolling in cyber security courses offering certificates can provide both foundational knowledge and specialized skills to meet industry demands.
Another emerging technology pathway is becoming an AI trainer. This role combines expertise in machine learning with practical applications and offers competitive compensation. For those curious about this field, understanding the ai trainer salary and career paths can guide informed decisions about education and job prospects.
University of New South Wales
Carnegie Mellon University
Carnegie Mellon University
University of Sydney
University of New South Wales
ETH Zurich
Uppsala University
Tsinghua University
Federal Department of Defence, Civil Protection and Sports
Chinese University of Hong Kong
University of Sydney
University of New South Wales
