IEEE International Symposium on Medical Measurements and Applications

Top Research Topics at IEEE International Symposium on Medical Measurements and Applications?

• Artificial intelligence (21.36%)
• Biomedical engineering (12.80%)
• Computer vision (10.10%)

The conference focuses on Artificial intelligence, Biomedical engineering, Computer vision, Pattern recognition and Signal. The Artificial intelligence study tackled is a key component of adjacent topics in the area of Machine learning. Most of the Biomedical engineering studies addressed also intersect with Ultrasound.

The event links adjacent topics like Signal with Acoustics.

What are the most cited papers published at the conference?

• Accelerometer-based fall detection for smartphones (75 citations)
• KINECT applications for the physical rehabilitation (68 citations)
• Feature extraction for the differentiation of dry and wet cough sounds (58 citations)

Research areas of the most cited articles at IEEE International Symposium on Medical Measurements and Applications:

The conference papers mainly deal with areas of study such as Artificial intelligence, Signal, Computer vision, Pattern recognition and Speech recognition. The published articles explore issues in Artificial intelligence which can be linked to other research areas like Neurophysiology, Band-pass filter and Pulse (signal processing). The conference articles address concerns in Signal which are intertwined with other disciplines, such as Remote patient monitoring, Electronic engineering and Pressure sensor.

What topics the last edition of the conference is best known for?

• Internal medicine
• Artificial intelligence
• Surgery

The previous edition focused in particular on these issues:

The topics of Artificial intelligence, Physical medicine and rehabilitation, Gait (human), Pattern recognition and Signal are the focal point of discussions in IEEE International Symposium on Medical Measurements and Applications. Machine learning and Computer vision are some topics wherein Artificial intelligence research discussed in the conference have an impact. In addition to Computer vision research, the event aims to explore topics under Modality (human–computer interaction) and Fluorescence-lifetime imaging microscopy.

Physical medicine and rehabilitation research in it involves the investigation of Rehabilitation studies, all of which are linked to disciplines such as Wearable computer. In it, Gold standard (test), Reliability (statistics), Parkinson's disease and Correlation are investigated in conjunction with one another to address concerns in Gait (human) research. The subject of Acoustics, which is connected to the field of Spectral density and Sensitivity (control systems), serves as the foundation of the Signal research featured in IEEE International Symposium on Medical Measurements and Applications.

The most cited articles from the last conference are:

• Single-Pulse Measurement Electronics for Accurate Dosimetry in X-ray Radiation Therapy (1 citations)
• Deterministic Compressed Sensing of heart sound signals (1 citations)
• Analysis of Galvanic Skin Response to Acoustic Stimuli by Wearable Devices (1 citations)

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.