Borislav Savković

730 citations
57 papers · 514 indexed · h-index 13

Borislav Savković

47 papers receiving 486 citations

Peers

Borislav Savković
Comparison fields: 5 of 99
  • Industrial and Manufacturing Engineering 109
  • Mechanical Engineering 296
  • Virology 28
  • Automotive Engineering 38
  • Electrical and Electronic Engineering 171
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Jui-Jen Chou Taiwan
Mohammad A. Gharaibeh Jordan
Ruiya Li China
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Citations per year

Countries citing papers authored by Borislav Savković

Since Specialization
Citations

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

Fields of papers citing papers by Borislav Savković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20238
4 20232
5 20235
6 20233
7 20236
8 20213
9 202016
10 20197
11 20192
12 20181
13 20182
14 20170
15 20141
16
INFLUENCE OF DATA QUANTITY ON ACCURACY OF PREDICTIONS IN MODELING TOOL LIFE BY THE USE OF GENETIC ALGORITHMS
20143
17
Surface layer properties of the workpiece material in high performance grinding
20123
18
The microstructure infl uence on the chip formation process of Al-Cu alloy cast conventionally and in semi solid state
20126
19
Stanje površinskog sloja materijala obratka kod visokoučinskog brušenja
20121
20 201210

About Borislav Savković

Borislav Savković is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Virology, having authored 57 papers that have together received 514 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (26 papers), Advanced Machining and Optimization Techniques (14 papers), Engineering Technology and Methodologies (11 papers), Advanced Surface Polishing Techniques (9 papers), Advanced Measurement and Metrology Techniques (5 papers), Surface Roughness and Optical Measurements (4 papers), Manufacturing Process and Optimization (4 papers) and Metallurgy and Material Forming (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (109 citations), Mechanical Engineering (296 citations) and Virology (28 citations). Borislav Savković has collaborated with scholars based in Serbia, Slovakia and Australia. Frequent co-authors include Dragan Rodić, Marin Gostimirović, Pavel Kováč, Branislav Dudić, Ray Eaton, Simon Klančnik, T. Hesketh, Geoff Symonds, John M. Murray and Michal Greguš. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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