Milenko Sekulić

674 total citations
41 papers, 497 citations indexed

About

Milenko Sekulić is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Milenko Sekulić has authored 41 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Mechanical Engineering, 23 papers in Electrical and Electronic Engineering and 15 papers in Biomedical Engineering. Recurrent topics in Milenko Sekulić's work include Advanced machining processes and optimization (33 papers), Advanced Machining and Optimization Techniques (23 papers) and Advanced Surface Polishing Techniques (15 papers). Milenko Sekulić is often cited by papers focused on Advanced machining processes and optimization (33 papers), Advanced Machining and Optimization Techniques (23 papers) and Advanced Surface Polishing Techniques (15 papers). Milenko Sekulić collaborates with scholars based in Serbia, Slovenia and Croatia. Milenko Sekulić's co-authors include Marin Gostimirović, Pavel Kováč, Branko Škorić, Dragan Rodić, Zoran Jurković, Miloš Madić, Miodrag Hadžistević, Davorin Kramar, M. Brezočnik and Miroslav Radovanović and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Thermal Engineering and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Milenko Sekulić

35 papers receiving 468 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Milenko Sekulić Serbia 12 394 331 247 67 44 41 497
Simul Banerjee India 14 384 1.0× 263 0.8× 255 1.0× 50 0.7× 28 0.6× 31 497
Khaider Bouacha Algeria 5 485 1.2× 372 1.1× 240 1.0× 92 1.4× 80 1.8× 9 540
Chinmaya P. Mohanty India 13 552 1.4× 452 1.4× 291 1.2× 68 1.0× 49 1.1× 45 633
Shunuan Liu China 11 314 0.8× 223 0.7× 235 1.0× 57 0.9× 22 0.5× 30 454
Sukamal Ghosh India 6 241 0.6× 163 0.5× 129 0.5× 52 0.8× 30 0.7× 8 341
Carlo Remino Italy 5 335 0.9× 197 0.6× 130 0.5× 30 0.4× 35 0.8× 9 453
E. Daniel Kirby United States 8 436 1.1× 287 0.9× 192 0.8× 150 2.2× 28 0.6× 13 547
Fu-Ping Chang Taiwan 8 408 1.0× 236 0.7× 169 0.7× 125 1.9× 19 0.4× 11 506
Mustafa Ayyıldız Türkiye 8 260 0.7× 116 0.4× 162 0.7× 38 0.6× 99 2.3× 11 461
Pavel Kováč Serbia 11 386 1.0× 303 0.9× 225 0.9× 73 1.1× 54 1.2× 58 480

Countries citing papers authored by Milenko Sekulić

Since Specialization
Citations

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

Fields of papers citing papers by Milenko Sekulić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milenko Sekulić

This figure shows the co-authorship network connecting the top 25 collaborators of Milenko Sekulić. A scholar is included among the top collaborators of Milenko Sekulić 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 Milenko Sekulić. Milenko Sekulić 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
1.
2.
Rodić, Dragan, et al.. (2023). Study and Optimization Defect Layer in Powder Mixed Electrical Discharge Machining of Titanium Alloy. Processes. 11(4). 1289–1289. 6 indexed citations
3.
Sekulić, Milenko, et al.. (2021). EFFECT OF CUTTING PARAMETERS ON CUTTING FORCES IN TURNING OF CPM 10V STEEL. 24(2). 5–8. 3 indexed citations
4.
Rodić, Dragan, et al.. (2021). Investigation an assisting electrode powder mixed electrical discharge machining of nonconductive ceramic. The International Journal of Advanced Manufacturing Technology. 118(7-8). 2419–2435. 6 indexed citations
5.
6.
Gostimirović, Marin, Milenko Sekulić, & Dragan Rodić. (2021). AN INVERSE OPTIMIZATION PROBLEM OF HEAT TRANSFER IN THE MACHINING PROCESS – A REVIEW. 24(1). 10–21.
7.
Gostimirović, Marin, et al.. (2021). Stability analysis of the inverse heat transfer problem in the optimization of the machining process. Applied Thermal Engineering. 195. 117174–117174. 14 indexed citations
8.
Gostimirović, Marin, Milenko Sekulić, & Dragan Rodić. (2020). THERMAL STUDY OF THE CREEP-FEED GRINDING – A REVIEW. 23(1). 1–10. 3 indexed citations
9.
Rodić, Dragan, et al.. (2020). Application of ANFIS for modeling and predicting the EDM surface roughness. 1–4. 4 indexed citations
10.
Sekulić, Milenko, et al.. (2018). Prediction of surface roughness in the ball-end milling process using response surface methodology, genetic algorithms, and grey wolf optimizer algorithm. Advances in Production Engineering & Management. 13(1). 18–30. 41 indexed citations
11.
Gostimirović, Marin, Pavel Kováč, & Milenko Sekulić. (2018). An inverse optimal control problem in the electrical discharge machining. Sadhana. 43(5). 13 indexed citations
12.
Sekulić, Milenko, et al.. (2017). A Method for Determining Roundness and Actual Form of Circular Workpiece Cross Sections. Acta Polytechnica Hungarica. 14(6). 169–184. 7 indexed citations
13.
Kováč, Pavel, et al.. (2017). Application of Neuro-Fuzzy Systems for Modeling Surface Roughness Parameters for Difficult-to-Cut-Steel. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 261. 277–284. 2 indexed citations
14.
Hadžistević, Miodrag, et al.. (2015). Factors of estimating flatness error as a surface requirement of exploitation. Metalurgija. 54(1). 239–242. 3 indexed citations
15.
Sekulić, Milenko, et al.. (2015). OPTIMIZATION OF MACHINING PARAMETERS IN BALL-END MILLING USING TAGUCHI METHOD. 19(1). 17. 1 indexed citations
16.
Kramar, Davorin, Milenko Sekulić, Zoran Jurković, & Janez Kopač. (2013). The machinability of nickel-based alloys in high-pressure jet assisted (HPJA) turning. Metalurgija. 52(4). 512–514. 9 indexed citations
17.
Jurković, Zoran, et al.. (2012). APPLICATION OF MODELLING AND OPTIMIZATION METHODS IN ABRASIVE WATER JET MACHINING. 16(1). 59–62. 9 indexed citations
18.
Jurković, Zoran, et al.. (2011). Rotatable central composite design of experiments versus Taguchi method in the optimization of turning. SHILAP Revista de lepidopterología. 21 indexed citations
19.
Gostimirović, Marin, et al.. (2011). Effect of electrical pulse parameters on the machining performance in EDM. 32 indexed citations
20.
Sekulić, Milenko, Zoran Jurković, Miodrag Hadžistević, & Marin Gostimirović. (2010). The influence of mechanical properties of workpiece material on the main cutting force in face milling. SHILAP Revista de lepidopterología. 6 indexed citations

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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