Marko Kovačević

26 papers receiving 144 citations

Peers

Marko Kovačević
Comparison fields: 5 of 55
  • Industrial and Manufacturing Engineering 20
  • Automotive Engineering 15
  • Neurology 15
  • Software 4
  • Ecological Modeling 4
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Countries citing papers authored by Marko Kovačević

Since Specialization
Citations

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

Fields of papers citing papers by Marko Kovačević

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Marko Kovačević, 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 Kovačević Line = papers co-authored together Marko Kovačević links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201628
2 201419
3 202312
4
Morphometric characteristics of thyroid cartilage in people of Eastern Croatia.
201012
5 201310
6
The effect of spinal versus general anesthesia on postoperative pain and analgesic requirements in patients undergoing peripheral vascular surgery.
20129
7
Thoracic epidural analgesia for radical cystectomy improves bowel function even in traditional perioperative care: a retrospective study in eighty-five patients.
20147
8
[Neuroleukemia in adults].
19976
9 20146
10 20165
11 20214
12 20224
13 20224
14 20183
15
PREDICTION OF PASSENGER CAR FUEL CONSUMPTION USING ARTIFICIAL NEURAL NETWORK: A CASE STUDY IN THE CITY OF NIŠ
20162
16 20212
17 20162
18 20152
19 20152
20 20211

About Marko Kovačević

Marko Kovačević is a scholar working on Electrical and Electronic Engineering, Automotive Engineering, Control and Systems Engineering, Mechanical Engineering and Industrial and Manufacturing Engineering, having authored 30 papers that have together received 147 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (4 papers), Advanced Machining and Optimization Techniques (4 papers), Smart Grid Energy Management (4 papers), Advanced machining processes and optimization (4 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), Microgrid Control and Optimization (3 papers), Electric Vehicles and Infrastructure (3 papers) and Advanced Battery Technologies Research (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (20 citations), Automotive Engineering (15 citations), Neurology (15 citations), Software (4 citations) and Ecological Modeling (4 citations). Marko Kovačević has collaborated with scholars based in Croatia, Serbia and United States. Frequent co-authors include Kenan I. Arnautović, Miroslav Radovanović, Miloš Madić, Mario Vašak, Radivoje Radić, Branka Popović, Ksenija Marjanović, Ana Markić, D Bošković and Milica Čolović. Their work appears in journals such as Expert Systems with Applications, International Journal of Industrial Engineering Computations, Facta Universitatis Series Mechanical Engineering, IEEE Transactions on Intelligent Transportation Systems and Applied Energy.

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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