Amir Daneshi

886 total citations
31 papers, 679 citations indexed

About

Amir Daneshi is a scholar working on Mechanical Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Amir Daneshi has authored 31 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Mechanical Engineering, 24 papers in Biomedical Engineering and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Amir Daneshi's work include Advanced machining processes and optimization (29 papers), Advanced Surface Polishing Techniques (24 papers) and Advanced Machining and Optimization Techniques (19 papers). Amir Daneshi is often cited by papers focused on Advanced machining processes and optimization (29 papers), Advanced Surface Polishing Techniques (24 papers) and Advanced Machining and Optimization Techniques (19 papers). Amir Daneshi collaborates with scholars based in Germany, Iran and Sweden. Amir Daneshi's co-authors include Taghi Tawakoli, Bahman Azarhoushang, Mohammadjafar Hadad, Mohammad Sadeghi, Behzad Sadeghi, Dirk Biermann, Uwe Heisel, Mohammadreza Kadivar, M. H. Sadeghi and B. Becker and has published in prestigious journals such as Journal of Cleaner Production, International Journal of Machine Tools and Manufacture and CIRP Annals.

In The Last Decade

Amir Daneshi

31 papers receiving 656 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amir Daneshi Germany 10 642 401 362 65 61 31 679
Guoqiang Yin China 17 692 1.1× 512 1.3× 328 0.9× 47 0.7× 33 0.5× 52 773
Chandrakant K. Nirala India 18 837 1.3× 436 1.1× 579 1.6× 30 0.5× 97 1.6× 62 877
Ízaro Ayesta Spain 16 533 0.8× 280 0.7× 420 1.2× 29 0.4× 74 1.2× 38 608
Thanongsak Thepsonthi United States 12 827 1.3× 544 1.4× 578 1.6× 85 1.3× 109 1.8× 16 928
Marcel Henerichs Switzerland 10 401 0.6× 310 0.8× 252 0.7× 53 0.8× 67 1.1× 13 447
V. Thomson Canada 8 515 0.8× 243 0.6× 312 0.9× 33 0.5× 77 1.3× 19 566
Robert Heinemann United Kingdom 13 365 0.6× 230 0.6× 248 0.7× 46 0.7× 52 0.9× 32 479
Asit Kumar Parida India 15 594 0.9× 267 0.7× 365 1.0× 19 0.3× 88 1.4× 27 641
Mohammad Rabiey Switzerland 11 672 1.0× 566 1.4× 297 0.8× 146 2.2× 58 1.0× 25 733

Countries citing papers authored by Amir Daneshi

Since Specialization
Citations

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

Fields of papers citing papers by Amir Daneshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Daneshi

This figure shows the co-authorship network connecting the top 25 collaborators of Amir Daneshi. A scholar is included among the top collaborators of Amir Daneshi 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 Amir Daneshi. Amir Daneshi 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.
Azarhoushang, Bahman, et al.. (2023). Investigation of the effects of reinforcement particles in polymers on their grindability in single grit scratch test. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 238(3). 1162–1171. 1 indexed citations
2.
Azarhoushang, Bahman, et al.. (2022). Prediction of Machining Condition Using Time Series Imaging and Deep Learning in Slot Milling of Titanium Alloy. Journal of Manufacturing and Materials Processing. 6(6). 145–145. 8 indexed citations
3.
Azarhoushang, Bahman, et al.. (2022). Modeling of laser-assisted micro-milling. CIRP journal of manufacturing science and technology. 40. 29–43. 4 indexed citations
4.
Azarhoushang, Bahman, et al.. (2021). Digital light processing-based additive manufacturing of resin bonded SiC grinding wheels and their grinding performance. The International Journal of Advanced Manufacturing Technology. 118(5-6). 1641–1657. 12 indexed citations
5.
Baraheni, Mohammad, et al.. (2021). Development of an expert system for optimal design of the grinding process. The International Journal of Advanced Manufacturing Technology. 116(9-10). 2823–2833. 7 indexed citations
6.
Daneshi, Amir, et al.. (2021). Simulation of the laser-material interaction of ultrashort pulse laser processing of silicon nitride workpieces and the key factors in the ablation process. The International Journal of Advanced Manufacturing Technology. 114(11-12). 3719–3738. 8 indexed citations
7.
Azarhoushang, Bahman, et al.. (2021). Experimental study of single grit scratch test on carbon fiber-reinforced polyether ether ketone. Production Engineering. 15(5). 751–759. 8 indexed citations
8.
Daneshi, Amir, et al.. (2020). Performance of micro-grinding pins with different bonding while micro-grinding Si<SUB align="right">3N<SUB align="right">4. International Journal of Abrasive Technology. 10(1). 16–16. 1 indexed citations
9.
Daneshi, Amir, et al.. (2019). Study on machinability of additively manufactured and conventional titanium alloys in micro-milling process. Precision Engineering. 62. 1–9. 79 indexed citations
10.
Daneshi, Amir, et al.. (2019). Laser-assisted micro-grinding of Si3N4. Precision Engineering. 60. 394–404. 30 indexed citations
11.
Azarhoushang, Bahman, et al.. (2019). High-speed high-efficient grinding of CMCs with structured grinding wheels. International Journal of Abrasive Technology. 9(1). 1–1. 1 indexed citations
12.
Daneshi, Amir, et al.. (2019). Simulation of laser ablation mechanism of silicon nitride by ultrashort pulse laser. Procedia CIRP. 82. 208–213. 4 indexed citations
13.
Daneshi, Amir, et al.. (2017). Cylindrical plunge grinding of twist free surfaces by structured wheels. Precision Engineering. 51. 481–489. 7 indexed citations
14.
Azarhoushang, Bahman, et al.. (2016). Evaluation of thermal damages and residual stresses in dry grinding by structured wheels. Journal of Cleaner Production. 142. 1922–1930. 45 indexed citations
15.
Daneshi, Amir & Bahman Azarhoushang. (2016). Cylindrical Grinding by Structured Wheels. Materials science forum. 874. 101–108. 2 indexed citations
16.
Daneshi, Amir, et al.. (2014). Effect of Dressing on Internal Cylindrical Grinding. Procedia CIRP. 14. 37–41. 30 indexed citations
17.
Daneshi, Amir, et al.. (2011). Design and Manufacture of Laser Tool for Measurement of Turbine Blade. AIP conference proceedings. 1570–1575. 2 indexed citations
18.
Tawakoli, Taghi, Mohammadjafar Hadad, Amir Daneshi, M. H. Sadeghi, & Behzad Sadeghi. (2011). Study on the Effects of Abrasive and Coolant-Lubricant Types on Minimum Quantity Lubrication-MQL Grinding. Advanced materials research. 325. 231–237. 9 indexed citations
19.
Tawakoli, Taghi, Mohammadjafar Hadad, Mohammad Sadeghi, Amir Daneshi, & Behzad Sadeghi. (2011). Minimum quantity lubrication in grinding: effects of abrasive and coolant–lubricant types. Journal of Cleaner Production. 19(17-18). 2088–2099. 102 indexed citations
20.
Tawakoli, Taghi, et al.. (2009). An experimental investigation of the effects of workpiece and grinding parameters on minimum quantity lubrication—MQL grinding. International Journal of Machine Tools and Manufacture. 49(12-13). 924–932. 216 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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