Marko Tanasković

830 citations
32 papers · 519 · h-index 11

Impact in

    • Advanced Control Systems Optimization
    • Fault Detection and Control Systems
    • Control Systems and Identification
    • Iterative Learning Control Systems
    • Adaptive Control of Nonlinear Systems
    • Building Energy and Comfort Optimization

Papers in

Marko Tanasković

30 papers receiving 503 citations

Peers

Marko Tanasković
Comparison fields: 5 of 81
  • Control and Systems Engineering 327
  • Building and Construction 46
  • Artificial Intelligence 85
  • Statistics, Probability and Uncertainty 14
  • Transportation 13
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Citations per year

Countries citing papers authored by Marko Tanasković

Since Specialization
Citations

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

Fields of papers citing papers by Marko Tanasković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marko Tanasković, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marko Tanasković Line = papers co-authored together Marko Tanasković links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014109
2 201697
3 202271
4 202031
5 201729
6 201926
7 202020
8 202220
9 201318
10 201917
11 201017
12 20228
13 20158
14 20148
15 20165
16 20175
17 20204
18 20224
19 20133
20 20183

About Marko Tanasković

Marko Tanasković is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Aerospace Engineering, Artificial Intelligence and Surgery, having authored 32 papers that have together received 519 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (13 papers), Fault Detection and Control Systems (13 papers), Control Systems and Identification (10 papers), Sensorless Control of Electric Motors (4 papers), Electric Motor Design and Analysis (3 papers), Magnetic Bearings and Levitation Dynamics (3 papers), Thermography and Photoacoustic Techniques (2 papers) and Machine Learning and ELM (2 papers). The work is most often cited by research in Control and Systems Engineering (327 citations), Building and Construction (46 citations), Artificial Intelligence (85 citations), Statistics, Probability and Uncertainty (14 citations) and Transportation (13 citations). Marko Tanasković has collaborated with scholars based in Serbia, Switzerland and Italy. Frequent co-authors include Lorenzo Fagiano, Manfred Morari, Roy S. Smith, Carlo Novara, Miloš S. Stanković, Miloš Antonijević, Nebojša Bačanin, Miodrag Živković, Vojislav Gligorovski and Francesco Borrelli. Their work appears in journals such as Automatica, Buildings, Electronics, International Journal of Environmental Research and Public Health and IEEE Transactions on Automatic Control.

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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