Reza Teimouri

2.8k total citations
75 papers, 2.3k citations indexed

About

Reza Teimouri is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Ecological Modeling. According to data from OpenAlex, Reza Teimouri has authored 75 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Mechanical Engineering, 39 papers in Electrical and Electronic Engineering and 21 papers in Ecological Modeling. Recurrent topics in Reza Teimouri's work include Advanced machining processes and optimization (40 papers), Advanced Machining and Optimization Techniques (34 papers) and Surface Treatment and Residual Stress (27 papers). Reza Teimouri is often cited by papers focused on Advanced machining processes and optimization (40 papers), Advanced Machining and Optimization Techniques (34 papers) and Surface Treatment and Residual Stress (27 papers). Reza Teimouri collaborates with scholars based in Iran, Poland and Cambodia. Reza Teimouri's co-authors include Saeid Amini, Hamid Baseri, Hamed Sohrabpoor, Sebastian Skoczypiec, Raheleh Mohammadpour, Zayd C. Leseman, Mohammad Lotfi, Mario Guagliano, Zhanqiang Liu and Amirhossein Pakseresht and has published in prestigious journals such as SHILAP Revista de lepidopterología, Materials Science and Engineering A and Mechanical Systems and Signal Processing.

In The Last Decade

Reza Teimouri

74 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Reza Teimouri Iran 31 2.0k 1.1k 722 355 283 75 2.3k
Ulvi Şeker Türkiye 21 1.4k 0.7× 735 0.7× 650 0.9× 291 0.8× 136 0.5× 89 1.6k
Changfeng Yao China 26 1.6k 0.8× 443 0.4× 509 0.7× 486 1.4× 238 0.8× 80 1.7k
H. S. Shan India 21 1.1k 0.5× 717 0.6× 840 1.2× 219 0.6× 121 0.4× 49 1.3k
Shaohui Yin China 24 1.1k 0.5× 483 0.4× 1.2k 1.6× 312 0.9× 114 0.4× 92 1.9k
Francis Collombet France 25 1.6k 0.8× 977 0.9× 873 1.2× 230 0.6× 182 0.6× 76 2.3k
A. Rivero Spain 18 1.1k 0.6× 506 0.5× 651 0.9× 111 0.3× 235 0.8× 31 1.3k
Ramesh Singh India 26 1.6k 0.8× 827 0.7× 910 1.3× 282 0.8× 52 0.2× 112 2.1k
Gilles Dessein France 22 1.5k 0.7× 383 0.3× 673 0.9× 179 0.5× 141 0.5× 83 1.6k
Sudhansu Ranjan Das India 26 1.6k 0.8× 1.0k 0.9× 703 1.0× 290 0.8× 77 0.3× 92 1.8k
Toshiyuki OBIKAWA Japan 26 2.8k 1.4× 1.2k 1.0× 1.6k 2.2× 417 1.2× 103 0.4× 137 3.0k

Countries citing papers authored by Reza Teimouri

Since Specialization
Citations

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

Fields of papers citing papers by Reza Teimouri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reza Teimouri

This figure shows the co-authorship network connecting the top 25 collaborators of Reza Teimouri. A scholar is included among the top collaborators of Reza Teimouri 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 Reza Teimouri. Reza Teimouri 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.
Teimouri, Reza, et al.. (2024). Effect of ultrasonic vibration on fatigue life of Inconel 718 machined by high-speed milling: Physics-enhanced machine learning approach. Mechanical Systems and Signal Processing. 224. 112115–112115. 3 indexed citations
3.
Teimouri, Reza. (2024). A framework toward fatigue life modeling of machining process verified in burnishing. Mechanical Systems and Signal Processing. 223. 111923–111923. 8 indexed citations
4.
Teimouri, Reza, et al.. (2024). Mechanistic Model of Fatigue in Ultrasonic Assisted Machining. Materials. 17(19). 4889–4889. 2 indexed citations
5.
Meyghani, Bahman & Reza Teimouri. (2024). A Framework to Simulate Friction Stir Additive Manufacturing (FSAM) Using the Finite Element Method. Micromachines. 15(3). 303–303. 2 indexed citations
6.
Malek, M. A., et al.. (2024). Effect of Cutting-Edge Geometry on the Machinability of 316L Austenitic Steel. SHILAP Revista de lepidopterología. 18(1). 110–117. 4 indexed citations
7.
Teimouri, Reza. (2023). Modeling of surface hardening in burnishing process. Materials research proceedings. 28. 1223–1234. 1 indexed citations
8.
Teimouri, Reza. (2023). Multiscale Modeling of a Chain Comprising Selective Laser Melting and Post-Machining toward Nanoscale Surface Finish. Materials. 16(24). 7535–7535. 5 indexed citations
9.
Teimouri, Reza & Sebastian Skoczypiec. (2023). Predictive modeling of roughness change in multistep machining. Journal of Intelligent Manufacturing. 35(7). 3577–3598. 7 indexed citations
10.
Teimouri, Reza, et al.. (2020). Parametric study of multi-roller rotary burnishing process. International Journal of Lightweight Materials and Manufacture. 4(2). 179–194. 5 indexed citations
11.
Teimouri, Reza & Saeid Amini. (2019). A comprehensive optimization of ultrasonic burnishing process regarding energy efficiency and workpiece quality. Surface and Coatings Technology. 375. 229–242. 32 indexed citations
12.
Teimouri, Reza, et al.. (2019). Friction stir welding of aluminum 6061-T6 in presence of watercooling: Analyzing mechanical properties and residual stress distribution. International Journal of Lightweight Materials and Manufacture. 2(2). 107–115. 50 indexed citations
13.
Teimouri, Reza & Raheleh Mohammadpour. (2018). Potential application of CuSbS 2 as the hole transport material in perovskite solar cell: A simulation study. Superlattices and Microstructures. 118. 116–122. 74 indexed citations
14.
Teimouri, Reza, et al.. (2017). Experimental study and empirical analysis on effect of ultrasonic vibration during rotary turning of aluminum 7075 aerospace alloy. Journal of Manufacturing Processes. 26. 1–12. 51 indexed citations
15.
Amini, Saeid, Mehran Dadkhah, & Reza Teimouri. (2017). Study on laser shock penning of Incoloy 800 super alloy. Optik. 140. 308–316. 14 indexed citations
16.
Teimouri, Reza, et al.. (2015). Optimization of Micro-milling Parameters Regarding Burr Size Minimization via RSM and Simulated Annealing Algorithm. Transactions of the Indian Institute of Metals. 68(5). 897–910. 30 indexed citations
17.
Teimouri, Reza, et al.. (2014). Experimental investigation and statistical optimization of laser surface cladding parameters. The International Journal of Advanced Manufacturing Technology. 76(5-8). 1163–1172. 62 indexed citations
18.
Teimouri, Reza, et al.. (2013). Optimization of friction stir welding process of AA7075 aluminum alloy to achieve desirable mechanical properties using ANFIS models and simulated annealing algorithm. The International Journal of Advanced Manufacturing Technology. 69(5-8). 1803–1818. 110 indexed citations
19.
Teimouri, Reza & Hamid Baseri. (2013). Artificial evolutionary approaches to produce smoother surface in magnetic abrasive finishing of hardened AISI 52100 steel. Journal of Mechanical Science and Technology. 27(2). 533–539. 32 indexed citations
20.
Teimouri, Reza & Hamid Baseri. (2013). Optimization of magnetic field assisted EDM using the continuous ACO algorithm. Applied Soft Computing. 14. 381–389. 46 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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