Dragan Mlakić

924 total citations
22 papers, 725 citations indexed

About

Dragan Mlakić is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dragan Mlakić has authored 22 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 16 papers in Control and Systems Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dragan Mlakić's work include Islanding Detection in Power Systems (9 papers), Microgrid Control and Optimization (9 papers) and Power Systems Fault Detection (5 papers). Dragan Mlakić is often cited by papers focused on Islanding Detection in Power Systems (9 papers), Microgrid Control and Optimization (9 papers) and Power Systems Fault Detection (5 papers). Dragan Mlakić collaborates with scholars based in Croatia, Iran and Bosnia and Herzegovina. Dragan Mlakić's co-authors include Srete Nikolovski, Hamid Reza Baghaee, Tomislav Dragičević, Goran Knežević and Miomir Vukobratović and has published in prestigious journals such as IEEE Transactions on Smart Grid, Energies and International Journal of Electrical Power & Energy Systems.

In The Last Decade

Dragan Mlakić

19 papers receiving 710 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dragan Mlakić Croatia 11 642 563 98 80 55 22 725
Raza Haider South Korea 13 709 1.1× 657 1.2× 102 1.0× 37 0.5× 24 0.4× 29 776
Safdar Raza Pakistan 13 615 1.0× 495 0.9× 77 0.8× 61 0.8× 38 0.7× 31 688
R. S. Bhatia India 10 442 0.7× 369 0.7× 74 0.8× 16 0.2× 56 1.0× 45 557
Qiushi Cui China 12 522 0.8× 388 0.7× 35 0.4× 20 0.3× 38 0.7× 50 611
Reza Noroozian Iran 20 1.2k 1.8× 1000 1.8× 41 0.4× 118 1.5× 30 0.5× 80 1.3k
Pukar Mahat Denmark 15 2.1k 3.3× 1.9k 3.4× 119 1.2× 57 0.7× 18 0.3× 26 2.2k
Yongli Zhu United States 10 371 0.6× 264 0.5× 11 0.1× 46 0.6× 26 0.5× 47 437
Sigifredo Gonzalez United States 17 1.0k 1.6× 792 1.4× 85 0.9× 418 5.2× 118 2.1× 50 1.2k
Hesan Vahedi Iran 14 588 0.9× 539 1.0× 89 0.9× 21 0.3× 14 0.3× 34 702
Thomas Basso United States 13 611 1.0× 499 0.9× 11 0.1× 122 1.5× 19 0.3× 26 681

Countries citing papers authored by Dragan Mlakić

Since Specialization
Citations

This map shows the geographic impact of Dragan Mlakić's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dragan Mlakić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dragan Mlakić more than expected).

Fields of papers citing papers by Dragan Mlakić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dragan Mlakić. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dragan Mlakić. The network helps show where Dragan Mlakić may publish in the future.

Co-authorship network of co-authors of Dragan Mlakić

This figure shows the co-authorship network connecting the top 25 collaborators of Dragan Mlakić. A scholar is included among the top collaborators of Dragan Mlakić based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dragan Mlakić. Dragan Mlakić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mlakić, Dragan, Srete Nikolovski, & Hamid Reza Baghaee. (2025). Cyber–physical machine-learning-based grid-fault detection and location scheme for distance protection of MV distribution lines. International Journal of Electrical Power & Energy Systems. 171. 111029–111029.
2.
Mlakić, Dragan & Hamid Reza Baghaee. (2020). A Physical Model for Information Transmission. IEEE Systems Journal. 15(2). 2463–2469. 2 indexed citations
4.
Mlakić, Dragan, Srete Nikolovski, & Hamid Reza Baghaee. (2019). An Open-Source Hardware/Software IED based on IoT and IEC 61850 Standard. 1–6. 5 indexed citations
5.
Baghaee, Hamid Reza, Dragan Mlakić, Srete Nikolovski, & Tomislav Dragičević. (2019). Anti-Islanding Protection of PV-Based Microgrids Consisting of PHEVs Using SVMs. IEEE Transactions on Smart Grid. 11(1). 483–500. 114 indexed citations
6.
Mlakić, Dragan, Srete Nikolovski, & Hamid Reza Baghaee. (2019). Hybrid Method for Islanding Detection of Distributed Generators in LV Distribution Networks. pp. 1–6. 3 indexed citations
7.
Baghaee, Hamid Reza, Dragan Mlakić, Srete Nikolovski, & Tomislav Dragičević. (2019). Support Vector Machine-Based Islanding and Grid Fault Detection in Active Distribution Networks. IEEE Journal of Emerging and Selected Topics in Power Electronics. 8(3). 2385–2403. 158 indexed citations
8.
Nikolovski, Srete, Hamid Reza Baghaee, & Dragan Mlakić. (2019). Islanding Detection of Synchronous Generator-Based DGs using Rate of Change of Reactive Power. IEEE Systems Journal. 13(4). 4344–4354. 82 indexed citations
9.
Nikolovski, Srete, Hamid Reza Baghaee, & Dragan Mlakić. (2018). ANFIS-Based Peak Power Shaving/Curtailment in Microgrids Including PV Units and BESSs. Energies. 11(11). 2953–2953. 38 indexed citations
10.
Mlakić, Dragan, et al.. (2018). ANFIS Used as a Maximum Power Point Tracking Algorithm for a Photovoltaic System. International Journal of Electrical and Computer Engineering (IJECE). 8(2). 867–867. 12 indexed citations
11.
Nikolovski, Srete, Dragan Mlakić, & Hamid Reza Baghaee. (2018). Arc Flash Incident Energy Simulation in PV Power Plant Connected to Distribution Network. 171–178.
12.
Mlakić, Dragan, Hamid Reza Baghaee, & Srete Nikolovski. (2018). A Novel ANFIS-Based Islanding Detection for Inverter-Interfaced Microgrids. IEEE Transactions on Smart Grid. 10(4). 4411–4424. 152 indexed citations
13.
Mlakić, Dragan, et al.. (2018). Deep Learning Method and Infrared Imaging as a Tool for Transformer Faults Detection. 6(2). 15 indexed citations
14.
Mlakić, Dragan, Hamid Reza Baghaee, & Srete Nikolovski. (2018). Islanding Detection in Microgrids including VSC-based Renewable/Distributed Energy Resources: An AI-based Technique. 4. 241–246. 1 indexed citations
15.
Mlakić, Dragan, Hamid Reza Baghaee, & Srete Nikolovski. (2018). Gibbs Phenomenon-Based Hybrid Islanding Detection Strategy for VSC-Based Microgrids Using Frequency Shift, $THD_{U}$ , and $RMS_{U}$. IEEE Transactions on Smart Grid. 10(5). 5479–5491. 72 indexed citations
16.
Nikolovski, Srete, et al.. (2017). Arc Flash Analysis andTechniques for HazardReduction Using SmartProtective Devices. 2017(1). 1–10. 1 indexed citations
17.
Mlakić, Dragan, et al.. (2017). Designing Automatic Meter Reading System Using Open Source Hardware and Software. International Journal of Electrical and Computer Engineering (IJECE). 7(6). 3282–3282. 15 indexed citations
18.
Mlakić, Dragan, et al.. (2017). Detection of faults in electrical panels using deep learning method. 25. 55–61. 5 indexed citations
19.
Mlakić, Dragan, Srete Nikolovski, & Goran Knežević. (2016). An Adaptive Neuro-Fuzzy Inference System in Assessment of Technical Losses in Distribution Networks. International Journal of Electrical and Computer Engineering (IJECE). 6(3). 1294–1294. 4 indexed citations
20.
Mlakić, Dragan & Srete Nikolovski. (2016). ANFIS as a method for determinating MPPT in the photovoltaic system simulated in MATLAB/Simulink. 1082–1086. 25 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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