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Elektronika ir Elektrotechnika
H-index 4

Elektronika ir Elektrotechnika

1392-1215

Published by: Kaunas University of Technology

https://eejournal.ktu.lt/index.php/elt

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 518 7 8 3

Additional Metrics

Number of Best Scientists*: 19
Documents by Best Scientists*: 19
Top 100 Ranked Scientists*: 1
SCIMAGO H-index: 32
SCIMAGO SJR: 0.258
Impact Factor: N/A

Overview

Top Research Topics at Elektronika Ir Elektrotechnika?

Elektronika Ir Elektrotechnika tackles a plethora of topics, such as Electronic engineering, Electrical engineering, Control theory, Artificial intelligence and Algorithm. Electronic engineering and Signal are closely related fields of research discussed in Elektronika Ir Elektrotechnika. Voltage is a major topic of Electrical engineering research.

The Control theory study featured in Elektronika Ir Elektrotechnika draws parallels with the field of Control engineering. Issues in Artificial intelligence were discussed, taking into consideration concepts from other disciplines like Computer vision and Pattern recognition.

  • Electronic engineering (14.23%)
  • Electrical engineering (12.14%)
  • Control theory (11.57%)

What are the most cited papers published in the journal?

  • Optimization of Weighted Aggregated Sum Product Assessment (311 citations)
  • Feature Extraction and Reduction of Wavelet Transform Coefficients for EMG Pattern Classification (103 citations)
  • Visualization of eye gaze data using heat maps (77 citations)

Research areas of the most cited articles at Elektronika Ir Elektrotechnika:

The journal publications are organized to address concerns in the fields of Artificial intelligence, Electronic engineering, Control theory, Electrical engineering and Voltage. The studies on Artificial intelligence discussed at the most cited publications can also contribute to research in the domains of Speech recognition, Computer vision and Pattern recognition. The journal articles hold forums on Control theory that merge themes from other disciplines such as Control engineering, Vector control and Rotor (electric).

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

  • Artificial intelligence
  • Electrical engineering
  • Operating system

The previous edition focused in particular on these issues:

The journal focuses largely on the fields of Artificial neural network, Artificial intelligence, Optoelectronics, Voltage and Control theory. Some problems in Artificial neural network that were presented in Elektronika Ir Elektrotechnika overlapped with concepts under Orthogonal basis, Polynomial and rational function modeling, Orthodontics, Data redundancy and Wavelet transform. In addition to Artificial intelligence research, it aims to explore topics under Machine learning, Computer vision and Pattern recognition.

The work on Control theory addressed in Elektronika Ir Elektrotechnika expands to the thematically related Anisotropy. The journal focused on Topology (electrical circuits) research conducted under the discipline of Electrical engineering. Elektronika Ir Elektrotechnika is mostly focused on Electrical engineering, specifically Wireless power transfer.

The most cited articles from the last journal are:

  • Detection of EMG Signals by Neural Networks Using Autoregression and Wavelet Entropy for Bruxism Diagnosis (1 citations)
  • Deep Learning Framework with ECG Feature-Based Kernels for Heart Disease Classification (1 citations)
  • Performance Comparison of New Generation Parameter Estimation Methods for Weibull Distribution to Compute Wind Energy Density (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 Elektronika Ir Elektrotechnika (based on the number of publications) are:

  • Danielius Eidukas (58 papers) absent at the last edition,
  • J. A. Virbalis (42 papers) absent at the last edition,
  • Zoran Peric (34 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Algimantas Valinevicius (32 papers) absent at the last edition,
  • S. Bartkevičius (27 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 Elektronika Ir Elektrotechnika (based on the number of publications) are:

  • Kaunas University of Technology (667 papers) absent at the last edition,
  • Vilnius Gediminas Technical University (301 papers) absent at the last edition,
  • Riga Technical University (131 papers) absent at the last edition,
  • Tallinn University of Technology (59 papers) absent at the last edition,
  • University of Niš (58 papers) published 4 papers at the last edition, 1 more 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, 22.73% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.53% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.71% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.71% of all publications and 47.06% 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

  • A Novel Pre-Synchronization Control for Grid Connection of Virtual Synchronous Generator

    Xuhai Chen;Yiwang Zhang;Jiqing Dong;Xingkui Mao

    (2020)
    6 Citations
  • Enabling wireless power transfer and multiple antennas selection to IoT network relying on NOMA

    Si-Phu Le;Minh-Sang Van Nguyen;Dinh-Thuan Do;Hong-Nhu Nguyen

    (2020)
    4 Citations
  • A Novel Fitting Model for Practical AIS Abnormal Data Repair in Inland River

    (2021)
    3 Citations
  • Threshold-based Wireless-based NOMA Systems over Log-Normal Channels: Ergodic Outage Probability of Joint Time Allocation and Power Splitting Schemes

    Hoang Thien Van;Quyet-Nguyen Van;Danh Hong Le;Lukas Sevcik

    (2021)
    3 Citations
  • Modelling of Home Appliances Using Fuzzy Controller in Achieving Energy Consumption and Cost Reduction

    Khadija Parvin;Ali Q. Al-Shetwi;M. A. Hannan;Ker Pin Jern

    (2021)
    3 Citations
  • Analysis of Non-Uniform Current Distribution in Multi-Fingered and Low-Voltage-Triggered LVTSCR

    Zijie Zhou;Xiangliang Jin;Yang Wang;Peng Dong

    (2021)
    0 Citations
  • Time-Based High-Pass, Low-Pass, Shelf, and Notch Filters

    (2023)
    0 Citations
  • Systematic Design of a Pseudodifferential VCO Using Monomial Fitting

    (2023)
    0 Citations

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