Goran Kvaščev

598 citations
45 papers · 403 · h-index 12

Impact in

Papers in

    • Advanced Control Systems Optimization 8
    • Fault Detection and Control Systems 8
    • Advanced Control Systems Design 4
    • Iterative Learning Control Systems 4
    • Control Systems and Identification 3
    • Machine Fault Diagnosis Techniques 3

Goran Kvaščev

40 papers receiving 390 citations

Peers

Goran Kvaščev
Comparison fields: 5 of 115
  • Human-Computer Interaction 29
  • Control and Systems Engineering 110
  • Signal Processing 37
  • Artificial Intelligence 88
  • Health Information Management 10
Replace Penghui Zhao with:
Penghui Zhao China
Afef Abdelkrim Tunisia
Jang‐Sik Park South Korea
Sareer Ul Amin South Korea
Sonain Jamil South Korea
Hong-Mo Je South Korea
R. R. Sedamkar India
Vasileios Christou Greece
Miroslav Benčo Slovakia
Jinfeng Gao China
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Citations per field
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Citations per year

Countries citing papers authored by Goran Kvaščev

Since Specialization
Citations

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

Fields of papers citing papers by Goran Kvaščev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Goran Kvaščev, 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 Goran Kvaščev Line = papers co-authored together Goran Kvaščev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022100
2 201430
3 201927
4 201220
5 201019
6 201618
7 202317
8 201316
9 200314
10 202214
11 202412
12 201111
13 20119
14 20229
15 20088
16 20168
17 20237
18 20166
19 20106
20 20245

About Goran Kvaščev

Goran Kvaščev is a scholar working on Control and Systems Engineering, Artificial Intelligence, Mechanical Engineering, Biomedical Engineering and Computer Networks and Communications, having authored 45 papers that have together received 403 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (8 papers), Fault Detection and Control Systems (8 papers), Network Security and Intrusion Detection (4 papers), Advanced Control Systems Design (4 papers), Iterative Learning Control Systems (4 papers), Control Systems and Identification (3 papers), Machine Fault Diagnosis Techniques (3 papers) and Direction-of-Arrival Estimation Techniques (3 papers). The work is most often cited by research in Human-Computer Interaction (29 citations), Control and Systems Engineering (110 citations), Signal Processing (37 citations), Artificial Intelligence (88 citations) and Health Information Management (10 citations). Goran Kvaščev has collaborated with scholars based in Serbia, Czechia and United Kingdom. Frequent co-authors include Željko Djurović, Nebojša Bačanin, Miodrag Živković, Boško Nikolić, Miloš Antonijević, Zoran Jovanović, Miroslav R. Mataušek, Goran Bijelić, Lana Popović‐Maneski and Nebojša Malešević. Their work appears in journals such as Sensors, Control Engineering Practice, Scientific Reports, Electronics and Energies.

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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