IEEE International Symposium on Computer-Based Medical Systems (CBMS)

The scientific conference ranking presented on this page provides an authoritative evaluation of conferences in the field of Engineering and Technology. This ranking was meticulously developed by Research.com, a leading platform dedicated to delivering trusted and comprehensive data on scientific contributions across all major academic fields, with a particular focus on Engineering and Technology since 2014.

Each conference’s position within the ranking is determined by a unique bibliometric score, devised by Research.com, that incorporates the estimated h-index and the number of distinguished scientists who have participated in the conference over the preceding three years. The inclusion of these metrics ensures an accurate reflection of both scholarly impact and the level of engagement from leading figures in the domain.

The 2024 edition of the ranking utilizes Impact Score values collected as of 2024-11-27. The evaluation process was both rigorous and comprehensive, involving the analysis of over 2,262 conferences. These were selected through a detailed and systematic review of more than 26,934 scientific documents published in the last three years by 9,385 renowned and highly respected experts in Engineering and Technology.

This in-depth, evidence-based approach demonstrates the commitment to both precision and excellence, ensuring that the ranking accurately represents the most influential scientific conferences in the field. For further information on the methodology applied in computing these ranking scores, please refer to our Methodology Page.

Papers citation over time

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.

Top authors and change over time

The top authors publishing at Computer-Based Medical Systems (based on the number of publications) are:

• Sameer Antani (25 papers) published 1 paper at the last edition the same number as at the previous edition,
• Panagiotis D. Bamidis (23 papers) published 12 papers at the last edition,
• George R. Thoma (21 papers) published 1 paper at the last edition the same number as at the previous edition,
• Agma J. M. Traina (21 papers) published 2 papers at the last edition, 1 more than at the previous edition,
• Aldo von Wangenheim (16 papers) published 1 paper at the last edition, 4 less than at the previous edition.

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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing at Computer-Based Medical Systems (based on the number of publications) are:

• University of São Paulo (55 papers) published 5 papers at the last edition, 2 more than at the previous edition,
• Aristotle University of Thessaloniki (33 papers) published 20 papers at the last edition,
• Trinity College, Dublin (22 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• National Institutes of Health (22 papers) absent at the last edition,
• University of Porto (17 papers) published 4 papers at the last edition, 2 more than at the previous edition.

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.

Publication chance based on affiliation

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, 6.21% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 24.50% were posted by at least one author from the top 10 institutions publishing at the conference. Another 6.62% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.18% of all publications and 45.70% were from other institutions.

Returning Authors Index

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.

Returning Institution Index

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.

The experience to innovation index

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:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Potential Applications and Career Prospects in Computer-Based Medical Systems

One section that seems to be missing from the article is the discussion on potential applications and career prospects in the field of Computer-Based Medical Systems. This section could discuss how knowledge and experience in Computer-Based Medical Systems can open up various career avenues for aspirants. It could also discuss the potential impact of these technologies on general healthcare delivery and how these innovations could revolutionize various sectors of the medical industry. Here is a possible draft for this missing section:

Potential Applications and Career Prospects in Computer-Based Medical Systems

Another promising field is the application of Computer-Based Medical Systems in Speech-Language Pathology. Emerging technologies are showing potential to provide valuable tools for diagnosis and treatment in speech therapy. Being a speech-language pathologist, with a deep understanding of computer-based medical systems can open up a world of possibilities. If you are interested in embarking on this career path, you might want to consider states with a soaring demand for such professionals. For instance, learn how to become a speech therapist in North Dakota and pioneer the integration of technology in the state's speech therapy practices.

Whether you're a researcher, a medical professional, or a tech enthusiast, understanding and applying Computer-Based Medical Systems can help you stay on the cutting edge of healthcare technology and give you the tools to make a real impact in the medical field.