World's Best Scientists 2026 revealed!
Electronics (MDPI)
H-index 82

Electronics (MDPI)

2079-9292

Published by: MDPI

https://www.mdpi.com/journal/electronics

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 38 708 1434 55

Additional Metrics

Number of Best Scientists*: 2091
Documents by Best Scientists*: 3380
Top 100 Ranked Scientists*: 48
SCIMAGO H-index: 110
SCIMAGO SJR: 0.615
Impact Factor: N/A

Overview

Top Research Topics at Electronics?

The journal covers a variety of subjects, including Artificial intelligence, Electronic engineering, Voltage, Control theory and Algorithm. The studies in Artificial intelligence featured incorporate elements of Machine learning, Computer vision and Pattern recognition. The field of Electrical engineering is the anchor for the Voltage studies presented in Electronics.

Control theory is a primary topic of Control theory research in it. Many of the studies tackled connect Deep learning with a similar field of study like Artificial neural network.

  • Artificial intelligence (15.08%)
  • Electronic engineering (9.98%)
  • Voltage (8.25%)

What are the most cited papers published in the journal?

  • Cramming More Components onto Integrated Circuits (6019 citations)
  • Wearable Photoplethysmographic Sensors—Past and Present (431 citations)
  • Transmission-line Conversion Transformers (391 citations)

Research areas of the most cited articles at Electronics:

The most cited articles facilitate discussions on Artificial intelligence, Deep learning, Electronic engineering, Pattern recognition and Artificial neural network. While Artificial intelligence is the focus of the journal publications, it also provides insights into the studies of Machine learning and Computer vision. In addition to Electronic engineering research, the journal articles aim to explore topics under MIMO and Voltage.

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 Electronics (based on the number of publications) are:

  • Raed A. Abd-Alhameed (27 papers) published 6 papers at the last edition, 3 less than at the previous edition,
  • Adam Glowacz (22 papers) published 11 papers at the last edition, 3 more than at the previous edition,
  • Hee-Je Kim (19 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Ernesto Limiti (18 papers) published 10 papers at the last edition, 6 more than at the previous edition,
  • Jun-Ho Huh (18 papers) published 5 papers at the last edition, 3 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 Electronics (based on the number of publications) are:

  • Korea University (26 papers) published 5 papers at the last edition, 9 less than at the previous edition,
  • Hanyang University (18 papers) published 5 papers at the last edition, 7 less than at the previous edition,
  • National Chiao Tung University (11 papers) published 4 papers at the last edition, 1 more than at the previous edition,
  • Yonsei University (10 papers) published 2 papers at the last edition, 4 less than at the previous edition,
  • Instituto Politécnico Nacional (9 papers) published 2 papers at the last edition, 1 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, 95.74% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 26.17% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.48% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.69% of all publications and 47.66% 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.

Top Publications

  • The k-means Algorithm: A Comprehensive Survey and Performance Evaluation

    Mohiuddin Ahmed;Raihan Seraj;Syed Mohammed Shamsul Islam

    (2020)
    1420 Citations
  • Artificial Neural Networks Based Optimization Techniques: A Review

    Maher G. M. Abdolrasol;S. M. Suhail Hussain;Taha Selim Ustun;Mahidur R. Sarker

    (2021)
    642 Citations
  • Identification of Plant-Leaf Diseases Using CNN and Transfer-Learning Approach

    Sk Mahmudul Hassan;Arnab Kumar Maji;Michał Jasiński;Zbigniew Leonowicz

    (2021)
    442 Citations
  • A Review on Autonomous Vehicles: Progress, Methods and Challenges

    (2022)
    227 Citations
  • A Comprehensive Review of Li-Ion Battery Materials and Their Recycling Techniques

    Hee-Je Kim;Tnv Krishna;Kamran Zeb;Vinodh Rajangam

    (2020)
    201 Citations
  • Reconfigurable Antennas: Switching Techniques—A Survey

    Naser Ojaroudi Parchin;Haleh Jahanbakhsh Basherlou;Yasir I. A. Al-Yasir;Ahmed M. Abdulkhaleq

    (2020)
    169 Citations
  • Blockchain based smart contracts for internet of medical things in e-healthcare

    Ashutosh Sharma;Sarishma;Ravi Tomar;Naveen Chilamkurti

    (2020)
    147 Citations
  • Machine Learning in Wireless Sensor Networks for Smart Cities: A Survey

    Himanshu Sharma;Ahteshamul Haque;Frede Blaabjerg

    (2021)
    144 Citations
  • A Deep Learning Model for Network Intrusion Detection with Imbalanced Data

    (2022)
    140 Citations
  • Learning-Based Methods for Cyber Attacks Detection in IoT Systems: A Survey on Methods, Analysis, and Future Prospects

    (2022)
    113 Citations

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