Location: Potsdam , Germany
Submission deadline: 5/18/2022
Conference dates: 9/5/2022 - 9/9/2022
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 802 | 10 | 12 | 4 |
| Genetics | 11 | 5 | 6 | 2 |
This comprehensive ranking presents a curated list of scientific conferences in the field of Computer Science. Developed by Research.com, a leading authority in science research across major disciplines, this ranking leverages trusted data on scientific contributions maintained since 2014. Through a meticulous and methodologically-driven process, the conferences featured here have been ranked using a unique bibliometric score specifically created by Research.com.
The bibliometric score, central to the ranking process, is calculated based on the estimated h-index as well as the number of leading scientists who have contributed to each conference during the last three years. This rigorous methodology ensures that both the impact and the reputational quality of conferences, as indicated by active participation of top-tier researchers, are precisely represented. The ranking contains up-to-date Impact Score values gathered on 2024-11-27.
In order to ensure the highest degree of accuracy and relevance, the evaluation process included a detailed inspection of over 2,742 conferences. This examination was based on an in-depth analysis of more than 148,739 scientific documents published during the preceding three years, authored by 13,184 distinguished and influential scientists in the discipline of Computer Science. The conference selection and scoring process reflects a commitment to excellence, drawing upon a vast breadth of research output and expert contributions.
Further details regarding the methodology for computing the ranking scores, including technical definitions and analytical procedures, are available on our Methodology Page. This resource offers transparent insight into the comprehensive and expert-driven approach underlying the creation of this authoritative conference ranking.
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 Workshop on Algorithms in Bioinformatics (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 Workshop on Algorithms in Bioinformatics (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 2014 edition, 7.41% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.00% were posted by at least one author from the top 10 institutions publishing at the conference. Another 24.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 36.00% of all publications and 20.00% 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.
Expanding your expertise in Computer Science can open doors to diverse fields and advanced career opportunities. Many professionals turn to a masters in data analytics to deepen their skills in interpreting big data, a critical asset for decision-making roles in tech and business.
For those interested in cutting-edge research or academic leadership, pursuing a phd in data science online offers flexibility without compromising on rigorous training. This advanced degree equips students to contribute to innovative data-driven solutions across industries.
Computer Science intersects with biology through bioinformatics, where a specialized degree can lead to roles in healthcare and biotechnology. Discovering what can you do with a bioinformatics degree reveals opportunities to analyze biological data and develop medical advancements.
Additionally, students exploring healthcare tech may consider medical degrees online that pay well. These programs offer pathways into well-compensated medical careers, often integrating technology and patient care, complementing computer science skills.
University of Illinois at Urbana-Champaign
Rice University
Carnegie Mellon University
Google (United States)
University of Washington
Centrum Wiskunde & Informatica
University of California, Berkeley
City University of Hong Kong
Max Planck Institute of Molecular Cell Biology and Genetics
Heinrich Heine University Düsseldorf
University of Eastern Piedmont Amadeo Avogadro
Friedrich Schiller University Jena