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Journal of NeuroEngineering and Rehabilitation
H-index 36

Journal of NeuroEngineering and Rehabilitation

1743-0003

Published by: Springer

https://jneuroengrehab.biomedcentral.com/

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Neuroscience 113 103 120 24
Medicine 968 45 64 24

Additional Metrics

Number of Best Scientists*: 269
Documents by Best Scientists*: 334
Top 100 Ranked Scientists*: 5
SCIMAGO H-index: 129
SCIMAGO SJR: 1.287
Impact Factor: 5.2

Overview

Top Research Topics at Journal of Neuroengineering and Rehabilitation?

Journal of Neuroengineering and Rehabilitation primarily tackles Physical medicine and rehabilitation, Rehabilitation, Physical therapy, Neurology and Stroke. Discussions in it are anchored in the subject of Physical medicine and rehabilitation and the similar topic of Ankle. The journal focuses on Rehabilitation but sometimes tackles the closely related topic of Artificial intelligence which is concerned with Simulation.

Spinal cord injury and Biomechanics are some topics wherein Physical therapy research discussed in it have an impact. Neurology research featured in the journal incorporates concerns from various other topics such as Parkinson's disease and Electroencephalography. The Stroke study tackling the subject of Hemiparesis is the focus of the journal.

While Gait (human) is the focus of it, it also provided insights into the studies of Treadmill and STRIDE. Journal of Neuroengineering and Rehabilitation is focused mainly on Balance (ability), particularly Postural Balance. Journal of Neuroengineering and Rehabilitation focused on Gait research but expanded to cover Preferred walking speed.

  • Physical medicine and rehabilitation (66.14%)
  • Rehabilitation (26.20%)
  • Physical therapy (24.62%)

What are the most cited papers published in the journal?

  • A review of wearable sensors and systems with application in rehabilitation. (1339 citations)
  • A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation (935 citations)
  • Review of control strategies for robotic movement training after neurologic injury (775 citations)

Research areas of the most cited articles at Journal of Neuroengineering and Rehabilitation:

The most cited articles are organized to address concerns in the fields of Physical medicine and rehabilitation, Physical therapy, Rehabilitation, Artificial intelligence and Neurology. Physical medicine and rehabilitation research in the most cited articles connects with the study of Stroke. While the published papers focused on Physical therapy, they were also able to explore topics like Randomized controlled trial and Upper limb.

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

  • Internal medicine
  • Artificial intelligence
  • Statistics

The previous edition focused in particular on these issues:

The journal generally zeroes in on subjects such as Physical medicine and rehabilitation, Rehabilitation, Neurology, Stroke and Gait. The Physical medicine and rehabilitation study featured in the journal draws parallels with the field of Randomized controlled trial. The study of Rehabilitation, which falls within the realm of Physical therapy, was the main focus of the presentations.

The journal facilitates discussions on Neurology that incorporate concepts from other fields like Test (assessment), Quality of life, Parkinson's disease, Brain activity and meditation and Transcranial direct-current stimulation. The close relationship between Motor control and Electroencephalography is one of the points of interest dissected in Stroke research. In it, Treadmill, Cerebral palsy and Biomechanics are investigated in conjunction with one another to address concerns in Gait research.

The most cited articles from the last journal are:

  • Measuring freezing of gait during daily-life: an open-source, wearable sensors approach. (11 citations)
  • Brain–computer interface robotics for hand rehabilitation after stroke: a systematic review (10 citations)
  • Systematic review on wearable lower-limb exoskeletons for gait training in neuromuscular impairments. (9 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 Neuroengineering and Rehabilitation (based on the number of publications) are:

  • Robert Riener (29 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • David J. Reinkensmeyer (23 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Silvestro Micera (20 papers) absent at the last edition,
  • Sean P. Dukelow (20 papers) published 2 papers at the last edition, 1 less than at the previous edition,
  • Stephen Scott (19 papers) published 1 paper at the last edition, 1 less than at the previous 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 Neuroengineering and Rehabilitation (based on the number of publications) are:

  • Northwestern University (82 papers) published 12 papers at the last edition, 3 more than at the previous edition,
  • Rehabilitation Institute of Chicago (66 papers) published 9 papers at the last edition, 1 more than at the previous edition,
  • ETH Zurich (59 papers) published 4 papers at the last edition, 6 less than at the previous edition,
  • University of Twente (53 papers) published 4 papers at the last edition, 1 less than at the previous edition,
  • University of Zurich (51 papers) published 2 papers at the last edition, 5 less than at the previous 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, 0.65% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 21.05% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.13% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.76% of all publications and 46.05% 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 Neuroengineering and Rehabilitation

Neuroengineering and rehabilitation studies are a critical branch of medicine that focuses on restoring functional ability and quality of life to individuals with physical impairments or disabilities. Those who are passionate about pursuing a career in this field may choose various paths, such as becoming a physical therapist, neurologist, or rehabilitation specialist. Some may also wish to specialize in speech-language pathology, aiding those with speech and language disorders to communicate effectively.

Becoming a speech therapist, for instance, involves particular educational and certification requirements. If you are interested in exploring this career in Indiana, you can get comprehensive insights by visiting our guide on how to be a speech therapist in Indiana.

With continuous advancements in neuroengineering and rehabilitation, professionals in the field get opportunities to apply groundbreaking technology and innovative treatment methods to improve patient outcomes. Furthermore, a career in this area allows individuals to make a significant social impact by enhancing the life quality of those with physical impairments and disabilities. Therefore, investing time, effort, and resources into building a career in neuroengineering and rehabilitation could be both rewarding and fulfilling.

Top Publications

  • Brain–computer interface robotics for hand rehabilitation after stroke: a systematic review

    Paul Dominick E. Baniqued;Emily C. Stanyer;Muhammad Awais;Ali Alazmani

    (2021)
    213 Citations
  • OpenSense: An open-source toolbox for inertial-measurement-unit-based measurement of lower extremity kinematics over long durations

    (2021)
    162 Citations
  • Measuring freezing of gait during daily-life: an open-source, wearable sensors approach.

    Martina Mancini;Vrutangkumar V. Shah;Samuel Stuart;Samuel Stuart;Carolin Curtze

    (2021)
    107 Citations
  • Non-invasive brain stimulation for improving gait, balance, and lower limbs motor function in stroke

    Unknown

    (2022)
    106 Citations
  • Classification of Parkinson's disease and essential tremor based on balance and gait characteristics from wearable motion sensors via machine learning techniques: a data-driven approach.

    Sanghee Moon;Sanghee Moon;Hyun Je Song;Vibhash D. Sharma;Kelly E. Lyons

    (2020)
    86 Citations
  • Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium

    (2023)
    64 Citations
  • Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation.

    Seungmoon Song;Łukasz Kidziński;Xue Bin Peng;Carmichael Ong

    (2021)
    63 Citations
  • Laboratory versus daily life gait characteristics in patients with multiple sclerosis, Parkinson's disease, and matched controls.

    Vrutangkumar V. Shah;James McNames;Martina Mancini;Patricia Carlson-Kuhta

    (2020)
    58 Citations
  • Inpatient stroke rehabilitation: prediction of clinical outcomes using a machine-learning approach

    Yaar Harari;Yaar Harari;Megan K. O’Brien;Megan K. O’Brien;Richard L. Lieber;Richard L. Lieber;Arun Jayaraman;Arun Jayaraman

    (2020)
    47 Citations
  • Exoskeleton use in post-stroke gait rehabilitation: a qualitative study of the perspectives of persons post-stroke and physiotherapists

    Julie Vaughan-Graham;Dina Brooks;Lowell Rose;Goldie Nejat

    (2020)
    47 Citations

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