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Journal of Medical Engineering and Technology
H-index 8

Journal of Medical Engineering and Technology

0309-1902

Published by: Taylor & Francis

https://www.springer.com/journal/40846

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 959 4 4 4

Additional Metrics

Number of Best Scientists*: 20
Documents by Best Scientists*: 18
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 56
SCIMAGO SJR: 0.401
Impact Factor: N/A

Overview

Top Research Topics at Journal of Medical Engineering & Technology?

The journal is organized to address concerns in the fields of Biomedical engineering, Artificial intelligence, Surgery, Simulation and Internal medicine. The Artificial intelligence works featured in Journal of Medical Engineering & Technology incorporate elements from Speech recognition, Signal processing, Computer vision and Pattern recognition. Studies on Internal medicine discussed in it link to the field of Cardiology.

  • Biomedical engineering (15.14%)
  • Artificial intelligence (11.32%)
  • Surgery (8.39%)

What are the most cited papers published in the journal?

  • Electrical impedance tomography (EIT): a review (393 citations)
  • Comparative abilities of Microsoft Kinect and Vicon 3D motion capture for gait analysis. (269 citations)
  • A novel feature extraction for robust EMG pattern recognition. (224 citations)

Research areas of the most cited articles at Journal of Medical Engineering & Technology:

The journal publications primarily focus on research topics in Biomedical engineering, Artificial intelligence, Surgery, Simulation and Internal medicine. The published papers explore topics in Artificial intelligence which can be helpful for research in disciplines like Signal processing, Computer vision and Pattern recognition. The journal publications focus on Internal medicine but sometimes tackle the closely related topic of Cardiology which is concerned with Heart rate variability and Heart rate.

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

  • Internal medicine
  • Surgery
  • Artificial intelligence

The previous edition focused in particular on these issues:

The scientific interests tackled in Journal of Medical Engineering & Technology are Physical medicine and rehabilitation, Artificial intelligence, Human–computer interaction, Brain–computer interface and Rehabilitation. While work presented in Journal of Medical Engineering & Technology provided substantial information on Physical medicine and rehabilitation, it also covered topics in Wheelchair, Lower limb oedema and Eye movement. The research on Artificial intelligence tackled can also make contributions to studies in the areas of Cancer detection, Machine learning, Gynaecologic surgery and Pattern recognition.

Journal of Medical Engineering & Technology explores topics in Pattern recognition which can be helpful for research in disciplines like Ductal carcinoma, Breast cancer, Breast cancer classification and Lung cancer. Journal of Medical Engineering & Technology focuses on Human–computer interaction but the discussions also offer insight into other areas such as Emergency medical services, Task (project management), Gesture and Reduced cost. It explores issues in Rehabilitation which can be linked to other research areas like Clinical staff, Clamp and Rack.

The most cited articles from the last journal are:

  • Wheelchair control for disabled patients using EMG/EOG based human machine interface: a review. (5 citations)
  • Brain-machine and muscle-machine bio-sensing methods for gesture intent acquisition in upper-limb prosthesis control: a review. (4 citations)
  • Three-dimensional (3D) synthetic printing for the manufacture of non-biodegradable models, tools and implants used in surgery: a review of current methods. (3 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.

The top authors publishing in Journal of Medical Engineering & Technology (based on the number of publications) are:

  • Guozheng Yan (22 papers) absent at the last edition,
  • George T. Gillies (18 papers) absent at the last edition,
  • K X Qian (16 papers) absent at the last edition,
  • P Zeng (16 papers) absent at the last edition,
  • S. J. Meldrum (16 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.

Only papers with recognized affiliations are considered

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

  • St Bartholomew's Hospital (35 papers) absent at the last edition,
  • Shanghai Jiao Tong University (34 papers) absent at the last edition,
  • Royal Hallamshire Hospital (28 papers) absent at the last edition,
  • Nanyang Technological University (25 papers) absent at the last edition,
  • University of Virginia (21 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, 6.06% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 1.61% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.84% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.52% of all publications and 79.03% 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 Medical Engineering & Technology

If you find the topics of biomedical engineering, artificial intelligence, surgery simulation, and internal medicine exciting, a career in medical engineering and technology could be a great fit. Individuals with a background in this field often find fulfilling roles in healthcare institutions, research labs, and academic institutions. They are tasked with developing technological solutions to improve healthcare delivery and outcomes, with their work often being at the cutting edge of innovation.

Becoming a professional in this domain requires a solid foundation in engineering principles and medical sciences. Moreover, certain job roles might require specific licenses or certifications. For instance, if you aspire to teach future generations, becoming a certified professional is mandatory. To get a better idea, read about how to become an elementary school teacher in Maryland. While the career path for medical engineers can be different, this link offers valuable insights into the steps generally involved in any professional certification process.

In conclusion, the field of medical engineering and technology offers numerous career opportunities for those who are inclined towards improving healthcare systems through technological innovation. With the right education, experience, and certification, you can make significant contributions to this exciting field.

Top Publications

  • Objective stress monitoring based on wearable sensors in everyday settings

    Hee Jeong Han;Sina Labbaf;Jessica L Borelli;Nikil Dutt

    (2020)
    53 Citations
  • Design and development of a digital stethoscope encapsulation for simultaneous acquisition of phonocardiography and electrocardiography signals: the SmartHeart case study

    (2020)
    8 Citations
  • A 3D image segmentation for lung cancer using V.Net architecture based deep convolutional networks.

    Kamel K Mohammed;Kamel K Mohammed;Aboul Ella Hassanien;Heba M Afify

    (2021)
    7 Citations
  • User attitudes towards virtual home assessment technologies

    (2022)
    4 Citations

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