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IEEE

IEEE 35th International Symposium on Computer Based Medical Systems (CBMS) (CBMS)

Location: Shenzhen , China

Conference dates: 7/21/2022 - 7/23/2022

Research H-index
13

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Medicine 25 14 14 5
Computer Science 249 73 144 13
Neuroscience 20 5 8 3

Call for Papers

Attracting a worldwide audience, CBMS is the premier conference for computer-based medical systems, and one of the main conferences within the fields of medical informatics and biomedical informatics. CBMS allows the exchange of ideas and technologies between academic and industrial scientists. The scientific program of IEEE CBMS 2022 will consist of regular and special track sessions with technical contributions reviewed and selected by an international program committee as well as keynote talks, and tutorials given by leading experts in their fields. The IEEE CBMS 2022 edition also aims to host high-quality papers about industry and real case applications as well as allow to researchers leading international projects to show to the scientific community the main aims, goals, and results of their projects.

The CBMS 2022 invites the submission of long and short papers on original unpublished scientific contributions that are not submitted concurrently to a journal or another conference. Studies should be conducted to good research practice standards with due regard to ethics in the study design.

We solicit submissions on previously unpublished research work. Example areas include but are not limited to:
• Biomedical Signal and Image Processing
• Clinical and Healthcare Services Research
• Data Analysis and Visualization
• Data Mining and Machine Learning
• Decision Support and Recommendation Systems
• Healthcare Communication Networks
• Healthcare Data and Knowledge Management
• Human-Computer Interaction (HCI) in Healthcare
• Information Technologies in Healthcare
• Intelligent Medical Devices and Smart Technologies
• Radiomics and Radiogenomics
• Semantics and Knowledge Representation
• Serious Gaming in Healthcare
• Systems Integration and Security
• Technology-enabled Education
• Telemedicine Systems
• Translational Bioinformatics
Prospective authors are expected to submit their contributions to the general track or one of the special tracks if relevant. Please see submission guidelines for further details.

After the conference, the chairs will select a final list of 10-15 papers research papers to be invited for the special issue on AIIM.

Submission guidelines and publications
Authors can submit both long/regular and short papers. Long papers may consist of up to six (6) Letter-sized pages. Long papers will be presented orally. The program committee may suggest the presentation of the paper as a short paper. Short papers may consist of up to four (4) Letter-sized pages. Short papers will be presented orally as short talks.

Each contribution must be prepared following the IEEE two-column format; the authors may use LaTeX or Microsoft Word templates when preparing their manuscripts.

The templates are available here: https://www.ieee.org/conferences/publishing/templates.html

Papers must be submitted electronically using the EasyChair conference management system at: https://easychair.org/conferences/?conf=cbms2022

All submissions will be peer-reviewed by up to three reviewers of the Program Committee.
All accepted papers will be included in the conference proceedings and will be published by IEEE. Publication in proceedings is conditioned to the registration and presentation of the paper at the conference by one of their authors. If the paper is not presented at the conference, it will not be included in the proceedings.

Overview

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.

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.

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

Computer-Based Medical Systems is an expansive field with applications ranging from diagnosis assistance to surgery planning and follow-up care. This developing sector also offers exciting career opportunities for motivated individuals interested in healthcare technology. As a professional in this field, you could be designing and implementing algorithms to diagnose diseases, developing artificial intelligence to assist in surgeries, or extracting critical information from large-scale medical databases.

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.

Related Online Degrees & Career Pathways

For students interested in Computer Science, exploring related online degrees can open up diverse career opportunities. Programs like accelerated psychology programs online offer faster routes into understanding human behavior—an asset for fields like artificial intelligence and user experience design.

Budget-conscious learners might consider the cheapest psychology degree online to gain foundational skills without breaking the bank. Likewise, creative tech enthusiasts can explore game design schools online to combine programming expertise with storytelling and digital art.

Given the rising demand for protecting digital assets, pursuing a cyber security degree is an excellent complement to a Computer Science background. These interdisciplinary pathways ensure graduates are prepared for the evolving tech landscape.

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