Journal of Medical Systems

Top Research Topics at Journal of Medical Systems?

Health informatics, Artificial intelligence, Health care, Pattern recognition and Computer security are the subjects of interest in the journal. In Journal of Medical Systems, researchers investigate the Health informatics study as part of research in the field of Nursing. In addition to Artificial intelligence research, the journal aims to explore topics under Machine learning and Computer vision.

It is focused mainly on Pattern recognition, particularly Feature extraction. The journal is mostly focused on Computer security, specifically Authentication.

• Health informatics (50.06%)
• Artificial intelligence (19.47%)
• Health care (13.33%)

What are the most cited papers published in the journal?

• A Comprehensive Survey of Wireless Body Area Networks (629 citations)
• Healthcare Data Gateways: Found Healthcare Intelligence on Blockchain with Novel Privacy Risk Control (527 citations)
• Security and Privacy Issues in Wireless Sensor Networks for Healthcare Applications (441 citations)

Research areas of the most cited articles at Journal of Medical Systems:

Health informatics, Artificial intelligence, Computer security, Health care and Pattern recognition are the main subjects of interest in the journal publications. The Health informatics research presented in the most cited papers focuses mostly on Telemedicine and, on occasion, topics in Multimedia. While work presented in the most cited papers provide substantial information on Artificial intelligence, it also covers topics in Machine learning and Computer vision.

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

• Internal medicine
• Artificial intelligence
• Surgery

The previous edition focused in particular on these issues:

The main points discussed in the journal deals with Health informatics, Health care, Artificial intelligence, Coronavirus disease 2019 (COVID-19) and Pandemic. While Journal of Medical Systems focused on Health informatics, it was also able to explore topics like Quality (business), Context (language use), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Data science and 2019-20 coronavirus outbreak. It explores topics in 2019-20 coronavirus outbreak which can be helpful for research in disciplines like Medical emergency, MEDLINE and Library science.

It addresses concerns in Health care which are intertwined with other disciplines, such as Speech recognition, Preventive healthcare and Implementation. The Artificial intelligence works featured in the journal incorporate elements from Machine learning and Computer vision. Some problems in Deep learning that were presented in Journal of Medical Systems overlapped with concepts under Black box, Medical imaging, Decision tree, Transfer of learning and Pattern recognition.

The most cited articles from the last journal are:

• Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19. (19 citations)
• Analysis of Consciousness Level Using Galvanic Skin Response during Therapeutic Effect (12 citations)
• The Impact of the COVID-19 Pandemic and the Importance of Telemedicine in Managing Acute ST Segment Elevation Myocardial Infarction Patients: Preliminary Experience and Literature Review. (10 citations)

Papers citation over time

A key indicator for each journal 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 in Journal of Medical Systems (based on the number of publications) are:

• Ralph R. Grams (47 papers) absent at the last edition,
• Jesse M. Ehrenfeld (43 papers) published 3 papers at the last edition, 1 more than at the previous edition,
• İnan Güler (32 papers) absent at the last edition,
• Miguel López-Coronado (26 papers) published 1 paper at the last edition the same number as at the previous edition,
• B. B. Zaidan (24 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Journal of Medical Systems (based on the number of publications) are:

• Gazi University (68 papers) absent at the last edition,
• University of Illinois at Chicago (52 papers) absent at the last edition,
• University of Florida (52 papers) absent at the last edition,
• University of Salamanca (50 papers) absent at the last edition,
• National Taiwan University (45 papers) absent at the last edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

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, 3.88% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 5.05% were posted by at least one author from the top 10 institutions publishing in the journal. Another 1.01% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.19% of all publications and 74.75% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal 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 journal 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 in a journal. The index includes the authors publishing at the last edition of a journal, 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.

Career Opportunities in Related Fields

The knowledge you can gain from the diverse range of topics studied in the Journal of Medical Systems can have extensive applications in various career fields. For instance, understanding health informatics and artificial intelligence not only has paramount importance in research and hospital settings, but also proves to be highly essential in the educational sector. If you're inspired by the topics studied in the journal and wish to impart this knowledge to the next generation, becoming a high school teacher could be an excellent career path to explore. Then, you're not just contributing to the ever-growing field of medical systems, but also shaping younger minds with this critical knowledge of the future. To pursue becoming a high school teacher, specific steps can guide you in your journey. For instance, you could consider becoming a high school history teacher in New Mexico, where you could introduce students to the history and evolution of medical systems and technology. For a more detailed guide on pursuing this path, visit this page: how to become a high school history teacher in New Mexico. This page offers beneficial information about the qualifications, training, and experience necessary to embark on this rewarding teaching career. It could just be the perfect opportunity to combine your passion for medical systems with a love for teaching and influence the future generation.