World's Best Scientists 2026 revealed!
Automatika
H-index 6

Automatika

0005-1144

Published by: Taylor & Francis

https://automatika.korema.hr/index.php/automatika/index

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 552 5 5 2

Additional Metrics

Number of Best Scientists*: 15
Documents by Best Scientists*: 13
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 33
SCIMAGO SJR: 0.369
Impact Factor: 1.7

Overview

Top Research Topics at Automatika?

The primary areas of discussion in Automatika are Control theory, Artificial intelligence, Electronic engineering, Electrical engineering and Nonlinear system. The work tackled in it goes beyond the discipline of Control theory as it also encompasses Control engineering. The studies on Artificial intelligence discussed can also contribute to research in the domains of Computer vision and Pattern recognition.

The journal centers on topics in Electrical engineering, with a focus on Voltage.

  • Control theory (33.99%)
  • Artificial intelligence (10.02%)
  • Electronic engineering (10.02%)

What are the most cited papers published in the journal?

  • Distributed Maximum Power Point Tracking in Photovoltaic Systems—Emerging Architectures and Control Methods (51 citations)
  • A Low-Noise Estimator of Angular Speed and Acceleration from Shaft Encoder Measurements (43 citations)
  • Design for sensorless force control of flexible robot by using resonance ratio control based on coefficient diagram method (40 citations)

Research areas of the most cited articles at Automatika:

The main points discussed in the published papers deal with Control theory, Electronic engineering, PID controller, Photovoltaic system and Maximum power point tracking. The most cited articles explore topics in Control theory which can be helpful for research in disciplines like Electricity generation, Induction motor and Motion control. While Electronic engineering is the focus of the journal papers, it also provides insights into the studies of Converters, Overmodulation, Inverter, Modulation and Waveform.

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 investigates studies in Control theory, Artificial intelligence, Electrical engineering, Voltage and Control theory. Topics in Control theory explored in Automatika were investigated in conjunction with research in Induction motor and Motion control. It facilitates discussions on Induction motor that incorporate concepts from other fields like Field-programmable gate array, Hysteresis and Electronic speed control.

The work on Artificial intelligence tackled in Automatika brings together disciplines like Computer vision and Pattern recognition. While work presented in Automatika provided substantial information on Voltage, it also covered topics in Software deployment and Electronics. PID controller research are fields of study within Control theory but they also intertwine with concepts in Sugar industry and Process analysis.

The most cited articles from the last journal are:

  • A novel salp swarm assisted hybrid maximum power point tracking algorithm for the solar photovoltaic power generation systems (6 citations)
  • Advancing natural language processing (NLP) applications of morphologically rich languages with bidirectional encoder representations from transformers (BERT): an empirical case study for Turkish (2 citations)
  • A novel edge server selection method based on combined genetic algorithm and simulated annealing algorithm (2 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 Automatika (based on the number of publications) are:

  • Nedjeljko Perić (10 papers) absent at the last edition,
  • Ivan Petrović (8 papers) absent at the last edition,
  • Asif Sabanovic (5 papers) absent at the last edition,
  • Josip Ungarov (4 papers) absent at the last edition,
  • Niksa Burum (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 Automatika (based on the number of publications) are:

  • University of Zagreb (54 papers) published 5 papers at the last edition, 6 less than at the previous edition,
  • Anna University (13 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Islamic Azad University (11 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • University of Montenegro (5 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Josip Juraj Strossmayer University of Osijek (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 2021 edition, 10.87% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 24.39% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.76% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.07% of all publications and 48.78% 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 hybrid many optimizing liaisons gravitational search algorithm approach for AGC of power systems

    Prangya Mohanty;Rabindra Kumar Sahu;Sidhartha Panda

    (2020)
    31 Citations
  • Decentralized force and motion control of multiple cooperative manipulators

    Hamid AzizZadeh;Mohammad Bagher Menhaj;Heidar Ali Talebi

    (2021)
    3 Citations
  • Formation control of first-order multi-agents with region constraint

    Zhengquan Yang;Xiaofang Pan;Qing Zhang;Zengqiang Chen

    (2020)
    1 Citations
  • Predictive extended state observer-based repetitive controller for uncertain systems with input delay

    (2021)
    1 Citations
  • Simplest and robust speed control for PMSMs with unknown mechanical characteristics

    (2024)
    0 Citations

Related Online Degrees & Career Pathways

Exploring online degrees is a practical way to enter the field of Computer Science with flexibility and convenience. Many students start with an associate's degree online, which offers a fast track to foundational knowledge and can often be completed in about six months.

For those aiming for a more comprehensive education, an online bachelor's degree in Computer Science or related fields provides advanced skills and a competitive edge in the job market. These programs are designed to be flexible, accommodating both full-time students and working professionals.

The demand for technology professionals means some degrees lead to lucrative careers. According to research on the best degrees in the world, Computer Science ranks highly among the highest-paying bachelor’s degrees, reflecting strong job prospects and earning potential.

For those concerned about workload, identifying the what is the easiest degree to get online might help in finding a manageable pathway while still gaining valuable skills. Combining this with a focus on relevant career pathways ensures a well-rounded approach to success in the tech industry.

Best Scientists Contributing to This Journal

Recently Published Articles