Location: Prague , Czechia
Submission deadline: 11/18/2022
Conference dates: 4/24/2023 - 4/25/2023
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 510 | 30 | 54 | 7 |
This ranking presents a comprehensive evaluation of scientific conferences within the field of Computer Science, meticulously curated by Research.com, a leading authority in science research recognized for delivering trusted, high-quality data on scientific contributions across all major disciplines since 2014. The ranking is grounded in a robust, unique bibliometric score developed by Research.com, which integrates both the estimated h-index and the number of leading scientists who have contributed to each conference over the preceding three years. This methodology ensures that each conference's position accurately reflects its stature and influence in the global research landscape.
All Impact Score values were collected as of 2024-11-27, providing the most recent and relevant assessment of conference impact. The ranking process entailed an exhaustive review of more than 2,742 conferences, each selected following detailed scrutiny and rigorous examination of over 148,739 scientific documents published within the last three years. These publications were authored by 13,184 prominent and respected scientists working at the forefront of Computer Science, affirming the breadth and credibility of the analysis.
This depth of research and the complexity of the analysis underscore the reliability and authority of the presented rankings. Readers interested in the detailed methodology used to compute these ranking scores are encouraged to consult our Methodology Page, which provides additional insight into the data sources, evaluation criteria, and expert-driven processes underpinning this assessment.
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 Evaluation of Novel Approaches to Software 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 International Conference on Evaluation of Novel Approaches to Software 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, 9.20% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 29.11% were posted by at least one author from the top 10 institutions publishing at the conference. Another 15.19% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.92% of all publications and 41.77% 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.
For those interested in expanding their expertise beyond traditional computer science, several online master's programs offer specialized knowledge aligned with current industry demands. Pursuing an online ms data science degree can unlock opportunities in data analysis, machine learning, and big data technologies, all pivotal skills for modern businesses.
Another dynamic field is design and human-computer interaction. An ui ux masters degree online helps students master user-centered design principles, increasingly critical for creating intuitive and engaging digital experiences.
Technological innovation also drives demand for expertise in emerging sectors like blockchain. Pursuing a specialized blockchain degree prepares graduates for careers in cryptocurrency, fintech, and secure digital transaction systems, areas that are rapidly evolving and require cutting-edge knowledge.
Finally, the rise of artificial intelligence is reshaping numerous industries. An ms in applied artificial intelligence equips students with skills in AI techniques, enabling diverse career paths in automation, robotics, and predictive analytics.
Télécom SudParis
University of Doha for Science and Technology
Monash University
University of Bologna
Mohammed V University
Institute for Energy Technology
University of Jyväskylä
Technical University of Munich
University of Molise
University of Macedonia
Victoria University of Wellington
Blekinge Institute of Technology