| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 799 | 11 | 10 | 6 |
Assistive Technology is organized to address concerns in the fields of Physical medicine and rehabilitation, Wheelchair, Human–computer interaction, Physical therapy and Rehabilitation. In particular, the Physical medicine and rehabilitation works presented emphasize discussions on Cerebral palsy. The research on Wheelchair featured in Assistive Technology combines topics in other fields like Occupational safety and health, Simulation, Transport engineering and Cushion.
Assistive Technology explores issues in Human–computer interaction which can be linked to other research areas like Multimedia, Interface (computing), Software and Artificial intelligence. Most of the works presented in Assistive Technology deals with Artificial intelligence but it intersects with the subject of Computer vision. The majority of Physical therapy studies are focused on the issues of Activities of daily living.
Assistive Technology focuses on Usability research which is adjacent to topics in Applied psychology.
The journal articles are mainly concerned with subjects like Physical medicine and rehabilitation, Physical therapy, Wheelchair, Activities of daily living and Applied psychology. The published papers with studies in Wheelchair featured incorporate elements of Simulation and Rehabilitation engineering. While work presented in the published papers provide substantial information on Activities of daily living, it also covers topics in Health care, Gerontology and Quality of life (healthcare).
Physical medicine and rehabilitation, Activities of daily living, Applied psychology, Human–computer interaction and Augmentative and alternative communication are the subjects of interest in the journal. Physical medicine and rehabilitation research presented in Assistive Technology encompasses a variety of subjects, including Stroke and Wheelchair. It focuses on Activities of daily living but the discussions also offer insight into other areas such as Robotics, Perception, Scale (social sciences) and Artificial intelligence.
Applied psychology research featured in it incorporates concerns from various other topics such as Content validity and Affect (psychology). The studies on Human–computer interaction discussed can also contribute to research in the domains of Variety (cybernetics) and Interface (computing). The Augmentative and alternative communication research discussed in it can contribute to the expansion of the discourse in closely related subjects like
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 Assistive Technology (based on the number of publications) are:
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 Assistive Technology (based on the number of publications) are:
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.
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, 3.75% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 24.68% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.09% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.69% of all publications and 54.55% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Assistive technology has had a profound impact on various sectors, including the field of education. A noteworthy application of these technologies is in preschool education and the critical role they play in shaping young minds. This section analyzes the influence of Assistive Technology on early childhood education, with a specific focus on preschool education. Preschool education often serves as the primer for a child’s formal education journey. During this period, children need to develop their communication, motor skills, cognitive thinking, and socializing abilities. The traditional methods of preschool education have evolved and adapted modern technologies to facilitate better learning. Assistive technology products designed for preschool children, especially those with disabilities, have shown encouraging results. These include devices such as interactive educational toys, adaptable furniture, modified tools for writing, and computer software and apps tailored to enhance interactive learning and communication. As an illustration, by using assistive technology tools, a child with motor skill issues may find it easier to learn how to hold and control a pencil using a specially designed gripping tool, or a child with language difficulties might find a voice output communication aid beneficial in expressing themselves. Such technologies are benefitting multiple preschools and greatly impacting the lives of young children with individual needs. In Virginia, educator training in assistive technology is gaining momentum. If you wonder, "{anchor}", a detailed exploration reveals specialization in Assistive Technology as one of the prominent facets in the training programs. As preschool teachers become more adept at implementing assistive technologies, they better meet the diverse needs of their students, paving the way for an inclusive and accessible learning environment. As technology continues to advance, there is no doubt that assistive technology will continue to play a transformative role in early childhood education. However, this also underlines the need for ongoing research and updates in the field of Assistive Technology and its application in preschool education.
Jose A. Moral-Munoz;Wenjuan Zhang;Manuel J. Cobo;Enrique Herrera-Viedma
(2021)Sara Arlati;Vera Colombo;Giancarlo Ferrigno;Rinaldo Sacchetti
(2020)Marco Tofani;C Candeloro;M Sabbadini;L Lucibello
(2020)Sean J. O’Neill;Sinéad Smyth;Alan Smeaton;Noel E. O’Connor
(2020)Andrew P. Valenti Ms;Meia Chita-Tegmark;Otr Linda Tickle-Degnen PhD;Faota L
(2021)Yasunari Hashimoto;Toshiyuki Kakui;Junichi Ushiba;Meigen Liu
(2021)For those interested in advancing their education in Computer Science, exploring shortest phd programs online can be an efficient way to achieve the highest academic qualifications without long-term commitments. These programs allow students to balance research ambitions with professional responsibilities.
Additionally, pursuing a 1 year masters program online offers a fast-track to specialize in emerging areas of computer science such as artificial intelligence, cybersecurity, or data science. This is ideal for professionals seeking to upskill quickly and stay competitive.
If speed is a priority, consider some of the fastest online degree options that combine affordability with strong job market potential. These degrees often focus on practical skills and are tailored to meet industry demands promptly.
Choosing the right field is crucial. Reviewing the best degrees can guide students towards disciplines with robust career opportunities, ensuring long-term employment and growth prospects in the dynamic tech landscape.
