IEEE International Symposium on Medical Measurements and Applications (MEMEA)

The conference ranking presented on this page offers a comprehensive evaluation of scientific conferences in the field of Engineering and Technology. This authoritative ranking has been meticulously prepared by Research.com, a leading platform renowned for providing trusted data on scientific contributions across all major scientific disciplines since 2014. The position of each conference in this ranking is determined by a unique bibliometric score, specifically developed by Research.com, which integrates both the estimated h-index and the number of leading scientists who have participated in each conference during the past three years.

The Impact Score values displayed in this ranking were collected as of 2024-11-27, ensuring the most up-to-date and relevant data. The ranking process is distinguished by its rigorous and methodical approach, involving the examination of over 2,262 conferences. These events were selected through a detailed inspection and a rigorous assessment of more than 26,934 scientific documents, published over the previous three years by an esteemed cohort of 9,385 leading scientists in Engineering and Technology.

This exhaustive and expert-driven process underscores the credibility and academic reliability of the presented ranking. For those interested in the detailed methodology and computational procedures employed to determine the ranking scores, further information is available on 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 IEEE International Symposium on Medical Measurements and Applications (based on the number of publications) are:

• Rafik Goubran (61 papers) published 7 papers at the last edition, 4 more than at the previous edition,
• Mohanasankar Sivaprakasam (47 papers) published 5 papers at the last edition, 4 less than at the previous edition,
• Jayaraj Joseph (44 papers) published 5 papers at the last edition, 3 less than at the previous edition,
• Frank Knoefel (43 papers) published 6 papers at the last edition, 4 more than at the previous edition,
• Aime Lay-Ekuakille (32 papers) published 1 paper at the last edition the same number as 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 IEEE International Symposium on Medical Measurements and Applications (based on the number of publications) are:

• Carleton University (118 papers) published 16 papers at the last edition, 5 more than at the previous edition,
• University of Ottawa (81 papers) published 6 papers at the last edition, 3 more than at the previous edition,
• Sapienza University of Rome (59 papers) published 6 papers at the last edition, 4 less than at the previous edition,
• Polytechnic University of Turin (59 papers) published 12 papers at the last edition, 2 more than at the previous edition,
• Indian Institute of Technology Madras (55 papers) published 6 papers at the last edition, 3 less 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 2021 edition, 5.69% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 55.17% were posted by at least one author from the top 10 institutions publishing at the conference. Another 12.07% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.66% of all publications and 18.10% 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.

Real-World Applications and Implications of the Research

In order to truly appreciate the significance and relevance of these research topics, it is essential to discuss their real-world applications and implications. The studies on Artificial intelligence, Biomedical Engineering, and Computer Vision, for instance, are particularly pertinent in numerous areas of the healthcare industry. Artificial intelligence, with machine learning as one of its branches, has several applications, especially in predictive analytics. This is significant in improving patient care and outcomes by enabling more accurate diagnoses or forecasting potential health risks. Furthermore, AI technologies have also shown promise in streamlining processes in healthcare facilities. Biomedical engineering has also made notable strides in improving patient care. High-tech prosthetics, improved imaging systems, and minimally invasive surgical procedures are just a few examples of the remarkable advances in this discipline. In addition to these, it also intersects with ultrasound technology which has significant implications in diagnostics and therapy. Similarly, computer vision applications have transformative potential within the healthcare sector. It can be utilized for image analysis, helping with early disease detection and surgical navigation. These studies are particularly crucial in places with a shortage of highly specialized healthcare professionals. Furthermore, the intersection of acoustics and signal is also transformative in the healthcare setting. This area of research can pave the way for better auditory equipment and sound-based treatments. To maximize these real-world applications, it is important to meet all necessary professional standards and regulations. For instance, those interested in engaging with speech and language technologies might look into obtaining a license. Further information about these regulations, particularly for the state of Maine, can be obtained from the maine slp license requirements page. Overall, these research areas, though technical and complex, have substantial implications for healthcare. It is crucial to continue supporting this kind of research to foster innovation and improve health outcomes.