| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 1055 | 10 | 8 | 2 |
EAI Endorsed Transactions on Pervasive Health and Technology covers a variety of subjects, including Artificial intelligence, Wearable computer, Computer vision, Pattern recognition and Machine learning. Artificial intelligence, which encompasses Deep learning, Artificial neural network, Support vector machine, Classifier (linguistics) and Activity recognition, is the main subject of EAI Endorsed Transactions on Pervasive Health and Technology. It tackles research in Wearable technology as part of the general discipline of Wearable computer, however, it also discusses concepts in Accelerometer and Gyroscope.
Aside from investigating topics in Inertial measurement unit under Computer vision, EAI Endorsed Transactions on Pervasive Health and Technology also explores concepts in Inertial frame of reference and Work (physics).
The most cited publications investigate studies in Health care, Artificial intelligence, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Nursing and Gyroscope. Issues in Health care were discussed in the published articles, taking into consideration concepts from other disciplines like Sentiment analysis, Knowledge management and Internet privacy. The published papers connects research in Artificial intelligence with the related topics of Computer vision.
The journal investigates studies in Artificial intelligence, Deep learning, Multimedia, Health services and Family medicine. The research on Artificial intelligence featured in it combines topics in other fields like Genetic algorithm, Identification (information) and Pattern recognition. EAI Endorsed Transactions on Pervasive Health and Technology holds forums on Deep learning that merges themes from other disciplines such as Computer security, Optometry and Detector.
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 EAI Endorsed Transactions on Pervasive Health and 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 EAI Endorsed Transactions on Pervasive Health and 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, 100.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, nan% were posted by at least one author from the top 10 institutions publishing in the journal. Another nan% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included nan% of all publications and nan% 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.
A section discussing career opportunities for professionals and students who publish in EAI Endorsed Transactions on Pervasive Health and Technology could enhance the article's depth. This could extend to describe diverse roles and careers one could branch into after their research is acknowledged by this elite journal, not only in artificial intelligence or health and technology areas, but also in teaching or other related educational roles. A case in point, authors of subjects like Wearable computer or Artificial Intelligence, who have had their work published in this journal, often find opportunities as a high school history teacher in California. They broaden students' view on history, incorporating technological advances and their impacts over time. Not limiting themselves to academic roles, the authors also excel in professional settings, applying their knowledge in tech companies, research institutes and health technology firms. The publication of a research paper in a renowned journal like EAI shows critical thinking and excellent research skills, qualities cherished in these career fields. It is imperative for authors to leverage such publications in their career compass and benefit from the multitude of opportunities at hand. Whether it's teaching, research or industry roles, a published article opens a wide spectrum of prospects.
Rubina Sarki;Khandakar Ahmed;Yanchun Zhang
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