Marko Milojković

520 citations
48 papers · 402 indexed · h-index 13
Topics
Control Systems and Identification (9 papers)Digital Filter Design and Implementation (7 papers)Neural Networks and Applications (7 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE Transactions on CyberneticsJournal of the Franklin Institute
Partner nations
SerbiaSlovakiaPoland

In The Last Decade

Marko Milojković

43 papers receiving 381 citations

Peers

Marko Milojković
Comparison fields: 5 of 69
  • Control and Systems Engineering 243
  • Mechanical Engineering 83
  • Artificial Intelligence 78
  • Automotive Engineering 76
  • Electrical and Electronic Engineering 49
Replace Saša S. Nikolić with:
Saša S. Nikolić Serbia
Çoşku Kasnakoğlu Türkiye
M. Salgado Australia
Anders Hansson Sweden
P.H. Bauer United States
K. Kristinsson Canada
R.M. DeSantis Canada
F. Belkhouche United States
Yanyan Hu China
Marko Milojković relative to Saša S. Nikolić Serbia Saša S. Nikolić's profile →
Citations per field
00.5×1.5×2.3×
Saša S. Nikolić · 1×
Citations per year

Countries citing papers authored by Marko Milojković

Since Specialization
Citations

This map shows the geographic impact of Marko Milojković'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 Marko Milojković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marko Milojković more than expected).

Fields of papers citing papers by Marko Milojković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marko Milojković. 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 Marko Milojković. The network helps show where Marko Milojković may publish in the future.

Co-authorship network of co-authors of Marko Milojković

This figure shows the co-authorship network connecting the top 25 collaborators of Marko Milojković. A scholar is included among the top collaborators of Marko Milojković 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 Marko Milojković. Marko Milojković 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
#WorkIndexed citations
1 0
2 2
3 0
4 1
5 0
6 8
7 5
8 6
9 26
10 1
11 44
12
DATA DENOISING PROCEDURE FOR NEURAL NETWORK PERFORMANCE IMPROVEMENT
0
13 1
14
LABORATORY CNC MACHINE FOR EDUCATION OF STUDENTS IN CONTROL SYSTEMS ENGINEERING
3
15 6
16 19
17 23
18 3
19 2
20 1

About Marko Milojković

Marko Milojković is a scholar working on Control and Systems Engineering, Signal Processing and Automotive Engineering, having authored 48 papers that have together received 402 indexed citations. Recurring topics across this work include Control Systems and Identification (9 papers), Digital Filter Design and Implementation (7 papers) and Neural Networks and Applications (7 papers). The work is most often cited by research in Control and Systems Engineering (243 citations), Automotive Engineering (76 citations) and Signal Processing (30 citations). Marko Milojković has collaborated with scholars based in Serbia, Slovakia and Poland. Frequent co-authors include Dragan Antić, Saša S. Nikolić, Vlastimir D. Pavlović, Milan Banić, Sergiu‐Dan Stan, Branislava Kocić, Branislav Tiodorović, Vlastimir Nikolić, Zoran Perić and Vesna Nikolić. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Cybernetics and Journal of the Franklin Institute.

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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