N. Yazdipour

451 total citations
12 papers, 383 citations indexed

About

N. Yazdipour is a scholar working on Materials Chemistry, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, N. Yazdipour has authored 12 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 8 papers in Mechanics of Materials and 5 papers in Mechanical Engineering. Recurrent topics in N. Yazdipour's work include Microstructure and mechanical properties (7 papers), Metallurgy and Material Forming (7 papers) and High Temperature Alloys and Creep (3 papers). N. Yazdipour is often cited by papers focused on Microstructure and mechanical properties (7 papers), Metallurgy and Material Forming (7 papers) and High Temperature Alloys and Creep (3 papers). N. Yazdipour collaborates with scholars based in Australia, France and Iran. N. Yazdipour's co-authors include Ayesha J. Haq, Peter Hodgson, E.V. Pereloma, C.H.J. Davies, D.P. Dunne, Frank Barbaro, A. Całka, Elena V. Pereloma, S. Serajzadeh and Ali Dehghan‐Manshadi and has published in prestigious journals such as Materials Science and Engineering A, Materials Chemistry and Physics and Computational Materials Science.

In The Last Decade

N. Yazdipour

10 papers receiving 373 citations

Peers

N. Yazdipour

MC

ME

MA

MM

AE

G. Odemer France

Hisatake ITOGA Japan

You Hwan Lee South Korea

Miles Alexander Stopher United Kingdom

J. Lufrano United States

G. Domizzi Argentina

Thierry Couvant France

Th. Boellinghaus Germany

H.W. Lee South Korea

Monique Gaspérini France

G. Odemer France

N. Yazdipour

294 ×1.0

MC

173 ×0.7

ME

255 ×1.2

MA

138 ×0.8

MM

87 ×2.0

AE

Citations per year, relative to N. Yazdipour N. Yazdipour (= 1×) peers G. Odemer

Countries citing papers authored by N. Yazdipour

Since Specialization

Citations

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

Fields of papers citing papers by N. Yazdipour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Yazdipour

This figure shows the co-authorship network connecting the top 25 collaborators of N. Yazdipour. A scholar is included among the top collaborators of N. Yazdipour 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 N. Yazdipour. N. Yazdipour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Yazdipour, N., et al.. (2013). The effect of processing parameters on the dynamic recrystallisation behaviour of API-X70 pipeline steel. Materials Science and Engineering A. 570. 70–81. 18 indexed citations

2.

Yazdipour, N., D.P. Dunne, & Elena V. Pereloma. (2012). Effect of Grain Size on the Hydrogen Diffusion Process in Steel Using Cellular Automaton Approach. Materials science forum. 706-709. 1568–1573. 20 indexed citations

3.

Haq, Ayesha J., N. Yazdipour, D.P. Dunne, et al.. (2012). Effect of manganese content and microstructure on the susceptibility of X70 pipeline steel to hydrogen cracking. Materials Science and Engineering A. 551. 40–49. 124 indexed citations

4.

Yazdipour, N., et al.. (2012). 2D modelling of the effect of grain size on hydrogen diffusion in X70 steel. Computational Materials Science. 56. 49–57. 86 indexed citations

5.

Yazdipour, N. & Peter Hodgson. (2011). Modelling post-deformation softening kinetics of 304 austenitic stainless steel using cellular automata. Computational Materials Science. 54. 56–65. 7 indexed citations

6.

Haq, Ayesha J., et al.. (2010). Role of Microstructure in Susceptibility of X70 Pipeline Steel to Hydrogen Embrittlement. Materials science forum. 654-656. 162–165. 2 indexed citations

7.

Yazdipour, N., Peter Hodgson, & C.H.J. Davies. (2009). Microstructure Evolution Modeling during and after Deformation in 304 Austenitic Stainless Steel through Cellular Automaton Approach. International Journal for Multiscale Computational Engineering. 7(5). 381–393. 1 indexed citations

8.

Yazdipour, N., Peter Hodgson, Łukasz Madej, & Łukasz Rauch. (2008). Numerical simulation of the static recrystalization at micro shear bands. Deakin Research Online (Deakin University). 832–843.

9.

Yazdipour, N., C.H.J. Davies, & Peter Hodgson. (2008). Microstructural modeling of dynamic recrystallization using irregular cellular automata. Computational Materials Science. 44(2). 566–576. 103 indexed citations

10.

Yazdipour, N., Ali Dehghan‐Manshadi, C.H.J. Davies, & Peter Hodgson. (2007). SIMULATION OF DYNAMIC RECRYSTALLIZATION USING IRREGULAR CELLULAR AUTOMATA. Research Online (University of Wollongong). 31. 164–176. 4 indexed citations

11.

Yazdipour, N., C.H.J. Davies, & Peter Hodgson. (2007). Simulation of dynamic recrystallization using random grid cellular automata. Computer Methods in Materials Science.. 168–174.

12.

Serajzadeh, S., et al.. (2006). A study on flow behavior of A-286 superalloy during hot deformation. Materials Chemistry and Physics. 101(1). 153–157. 18 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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