Rüstem Binali

646 total citations
39 papers, 428 citations indexed

About

Rüstem Binali is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Rüstem Binali has authored 39 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Mechanical Engineering, 34 papers in Electrical and Electronic Engineering and 13 papers in Biomedical Engineering. Recurrent topics in Rüstem Binali's work include Advanced machining processes and optimization (34 papers), Advanced Machining and Optimization Techniques (33 papers) and Advanced Surface Polishing Techniques (13 papers). Rüstem Binali is often cited by papers focused on Advanced machining processes and optimization (34 papers), Advanced Machining and Optimization Techniques (33 papers) and Advanced Surface Polishing Techniques (13 papers). Rüstem Binali collaborates with scholars based in Türkiye, India and Poland. Rüstem Binali's co-authors include Mustafa Kuntoğlu, Emin Salur, Danil Yurievich Pimenov, Mehmet Erdi Korkmaz, Munish Kumar Gupta, Abhishek D. Patange, H. Sağlam, Süleyman Neşeli, G. Sakthivel and Sujit S. Pardeshi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Materials and Energies.

In The Last Decade

Rüstem Binali

29 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rüstem Binali Türkiye 10 390 257 130 98 51 39 428
Ali Mamedov Kuwait 11 326 0.8× 184 0.7× 181 1.4× 81 0.8× 34 0.7× 26 371
Witold Habrat Poland 10 466 1.2× 210 0.8× 202 1.6× 96 1.0× 84 1.6× 44 489
Marcin Matuszak Poland 5 340 0.9× 171 0.7× 157 1.2× 80 0.8× 52 1.0× 15 385
Xiang Cheng China 14 388 1.0× 260 1.0× 191 1.5× 70 0.7× 54 1.1× 38 470
Mariusz Michalski Poland 6 324 0.8× 136 0.5× 114 0.9× 44 0.4× 68 1.3× 18 345
Márton Takács Hungary 8 408 1.0× 285 1.1× 253 1.9× 94 1.0× 29 0.6× 24 477
David Curtis United Kingdom 12 465 1.2× 270 1.1× 271 2.1× 127 1.3× 57 1.1× 35 532
Umut Karagüzel Türkiye 12 377 1.0× 211 0.8× 197 1.5× 91 0.9× 26 0.5× 22 392
Jay Airao India 14 581 1.5× 371 1.4× 246 1.9× 88 0.9× 66 1.3× 29 622
Isaac Tlhabadira South Africa 14 323 0.8× 211 0.8× 117 0.9× 112 1.1× 26 0.5× 27 364

Countries citing papers authored by Rüstem Binali

Since Specialization
Citations

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

Fields of papers citing papers by Rüstem Binali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rüstem Binali

This figure shows the co-authorship network connecting the top 25 collaborators of Rüstem Binali. A scholar is included among the top collaborators of Rüstem Binali 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 Rüstem Binali. Rüstem Binali 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.
Pereira, Artur Camposo, Sérgio Neves Monteiro, Leonardo Rosa Ribeiro da Silva, et al.. (2025). Machinability and surface integrity of glass fiber reinforced plastic composite: A review. Journal of Materials Research and Technology. 35. 6446–6467. 3 indexed citations
2.
Kuntoğlu, Mustafa, Rüstem Binali, & Mayur A. Makhesana. (2025). Characterizing Machining Indicators with Machine Learning Models Under Cellulose Nanocrystal and Graphene-Based Nanofluid Conditions. Arabian Journal for Science and Engineering. 51(3). 3089–3105. 2 indexed citations
3.
Kuntoğlu, Mustafa, et al.. (2025). Sustainable Lubrication Strategies in Eco-friendly Machining of AISI 4140 Steel: Performance and Environmental Impact Analysis Using Machine Learning. Journal of Materials Engineering and Performance. 35(5). 4962–4978.
4.
Silva, Leonardo Rosa Ribeiro da, Artur Camposo Pereira, Sérgio Neves Monteiro, et al.. (2025). Review of advances and challenges in machining of metal matrix composites. Journal of Materials Research and Technology. 37. 1061–1085.
5.
Kuntoğlu, Mustafa, et al.. (2025). Built-up-edge Formation and its Effect on Surface Topography and Machinability Indicators in Sustainable Minimum Quantity Lubrication Turning of Al2024-T6. Journal of Materials Engineering and Performance. 35(9). 9066–9077.
6.
Binali, Rüstem, Leonardo Rosa Ribeiro da Silva, Danil Yurievich Pimenov, et al.. (2024). A review on progress trends of machining of Carbon Fiber Reinforced Plastics. Journal of Materials Research and Technology. 33. 4332–4359. 9 indexed citations
7.
Makhesana, Mayur A., Kaushik M. Patel, Nilesh D. Ghetiya, Rüstem Binali, & Mustafa Kuntoğlu. (2024). Evaluation of drilling and hole quality characteristics in green machining aluminium alloys: A new approach towards green machining. Journal of Manufacturing Processes. 129. 176–186. 8 indexed citations
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Binali, Rüstem, et al.. (2024). The influences of alloying elements and processing conditions on the machinability of wrought aluminium alloys: A literature review. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering.
10.
Binali, Rüstem, et al.. (2024). Finish turning of AISI 5140 tempered steel to improve machinability for engineering applications: An experimental approach with dry cutting. DergiPark (Istanbul University). 6(2). 1–10. 2 indexed citations
11.
Binali, Rüstem, et al.. (2023). Different Aspects of Machinability in Turning of AISI 304 Stainless Steel: A Sustainable Approach with MQL Technology. Metals. 13(6). 1088–1088. 41 indexed citations
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Asiltürk, İlhan, Mustafa Kuntoğlu, Rüstem Binali, Harun Akkuş, & Emin Salur. (2023). A Comprehensive Analysis of Surface Roughness, Vibration, and Acoustic Emissions Based on Machine Learning during Hard Turning of AISI 4140 Steel. Metals. 13(2). 437–437. 23 indexed citations
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Binali, Rüstem. (2023). Parametric Optimization of Cutting Force and Temperature in Finite Element Milling of AISI P20 Steel. DergiPark (Istanbul University). 4(1). 244–256. 6 indexed citations
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Binali, Rüstem, Abhishek D. Patange, Mustafa Kuntoğlu, Tadeusz Mikołajczyk, & Emin Salur. (2022). Energy Saving by Parametric Optimization and Advanced Lubri-Cooling Techniques in the Machining of Composites and Superalloys: A Systematic Review. Energies. 15(21). 8313–8313. 23 indexed citations
19.
Mikołajczyk, Tadeusz, Tomasz Paczkowski, Mustafa Kuntoğlu, Abhishek D. Patange, & Rüstem Binali. (2022). Research on Using an Unconventional Tool for Increasing Tool Life by Selective Exchange of Worn Cutting Edge. Applied Sciences. 13(1). 460–460. 10 indexed citations
20.
Binali, Rüstem, et al.. (2022). Investigation of Power Consumption in the Machining of S960QL Steel by Finite Elements Method. DergiPark (Istanbul University). 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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