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International Journal of E-Health and Medical Communications
H-index 5

International Journal of E-Health and Medical Communications

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Computer Science 1030 5 5 3

Additional Metrics

Number of Best Scientists*: 14
Documents by Best Scientists*: 12
Top 100 Ranked Scientists*: 1
SCIMAGO H-index: 19
SCIMAGO SJR: 0.32
Impact Factor: 1.7

Overview

Top Research Topics at International Journal of E-health and Medical Communications?

The aim of International Journal of E-health and Medical Communications is to expand the discussion of research in Artificial intelligence, Health care, Knowledge management, Computer vision and Telemedicine. It holds forums on Artificial intelligence that merges themes from other disciplines such as Machine learning and Pattern recognition. The work on Health care tackled in it brings together disciplines like Computer security, Cloud computing, World Wide Web and Data science.

Quality (business) and Information and Communications Technology are some topics wherein Knowledge management research discussed in International Journal of E-health and Medical Communications have an impact.

  • Artificial intelligence (23.41%)
  • Health care (15.05%)
  • Knowledge management (9.36%)

What are the most cited papers published in the journal?

  • Development of Audio Sensing Technology for Ambient Assisted Living: Applications and Challenges (65 citations)
  • Anomaly Detection in Medical Wireless Sensor Networks using SVM and Linear Regression Models (56 citations)
  • A Survey of Routing Protocols in Wireless Body Area Networks for Healthcare Applications (32 citations)

Research areas of the most cited articles at International Journal of E-health and Medical Communications:

The published articles mainly tackle studies in Computer security, Home automation, Data mining, Activities of daily living and Artificial intelligence. The published papers address concerns in Data mining which are intertwined with other disciplines, such as Wireless sensor network, Real-time computing, Mobile wireless sensor network and Smart device. Many of the studies tackled in the most cited papers connect Artificial intelligence with a similar field of study like Computer vision.

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

  • Artificial intelligence
  • The Internet
  • Law

The previous edition focused in particular on these issues:

The discussions in the journal mainly cover the fields of Artificial intelligence, 2019-20 coronavirus outbreak, Creative commons, Deep learning and Coronavirus disease 2019 (COVID-19). International Journal of E-health and Medical Communications held discussions to help close the divide between the fields of Artificial intelligence and Perplexity and Term (time). Aside from research in 2019-20 coronavirus outbreak, International Journal of E-health and Medical Communications also discusses topics such as Pattern recognition, Binary classification, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Pandemic and Economic sector.

International Journal of E-health and Medical Communications focuses on Pandemic as well as the interrelated topic of License. While License is the focus of the conference, it also discussed overlapping research pursuits in other fields like Lakh, Work (electrical), Gauge (instrument) and Regional science. The journal focused on works that combine different research areas such as Creative commons and Battle.

The most cited articles from the last journal are:

  • Time-series forecasting and analysis of COVID-19 outbreak in highly populated countries: A data-driven approach (0 citations)
  • Semantic pattern detection in COVID-19 using contextual clustering and intelligent topic modeling (0 citations)
  • Artificial intelligence for the novel corona virus (COVID-19) pandemic: Opportunities, challenges, and future directions (0 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 International Journal of E-health and Medical Communications (based on the number of publications) are:

  • Tati L. R. Mengko (6 papers) absent at the last edition,
  • Aura Ganz (5 papers) absent at the last edition,
  • Suresh Sankaranarayanan (4 papers) absent at the last edition,
  • Ahmed Mehaoua (4 papers) absent at the last edition,
  • Anthony Fleury (4 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 International Journal of E-health and Medical Communications (based on the number of publications) are:

  • Amity University (10 papers) absent at the last edition,
  • Bandung Institute of Technology (9 papers) absent at the last edition,
  • Tokai University (8 papers) absent at the last edition,
  • University of Paris (6 papers) absent at the last edition,
  • Jaypee University of Information Technology (5 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 2022 edition, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 25.00% of all publications and 50.00% 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.

How to Contribute to International Journal of E-health and Medical Communications

Interested in becoming a contributor to the International Journal of E-health and Medical Communications? This guide walks you through the process, giving you all the necessary information on how to submit your research paper.

Firstly, it is important to familiarise yourself with the topics and types of articles previously published in this journal. Understanding the scope of the journal will help you select your topic and structure your research accordingly.

The main topics discussed in the journal are Artificial Intelligence, Healthcare, Knowledge Management, Computer Vision, and Telemedicine. Therefore, if your research is in alignment with one or more of these areas, this could be the right platform for your paper.

Once you have prepared your manuscript, you must follow the submission guidelines. For instance, the paper should be original, should be written in English, and should adhere to the journal's formatting and citation style.

In addition to this, you must have at least a graduate degree in a relevant field, or substantial industry experience, to contribute to the International Journal of E-health and Medical Communications. Several contributors to the journal also have a special education credential connecticut online. Therefore, it might be beneficial to have additional postgraduate qualifications or specialized certifications.

Lastly, it is essential to be aware of the costs involved. Every manuscript submitted to the International Journal of E-health and Medical Communications is subject to a publication fee. This fee is used to finance peer-review management, journal production, online hosting and archiving, and promotion of manuscripts and the journal.

By adhering to these guidelines and ensuring your research is up to par, you can successfully contribute to the International Journal of E-health and Medical Communications and further your academic or professional career.

Top Publications

  • Computational Framework of Inverted Fuzzy C-Means and Quantum Convolutional Neural Network Towards Accurate Detection of Ovarian Tumors

    (2023)
    37 Citations
  • Big Data Classification and Internet of Things in Healthcare

    Amine Rghioui;Jaime Lloret;Abedlmajid Oumnad

    (2020)
    21 Citations
  • Utilization of Transfer Learning Model in Detecting COVID-19 Cases From Chest X-Ray Images

    Malathy Jawahar;L. Jani Anbarasi;Prassanna Jayachandran;Manikandan Ramachandran

    (2021)
    5 Citations
  • Opportunities and Challenges of Using Mobile Applications for Workplace Health Promotion: A Qualitative Study

    Maren Junker;Markus Böhm;Frederik Edwards;Helmut Krcmar

    (2020)
    1 Citations
  • Monitoring Practitioner's Skills in Pure-Tone Audiometry

    Alexander Kocian;Stefano Chessa;Wilko Grolman

    (2020)
    0 Citations

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Best Scientists Contributing to This Journal