Kamran Nikbin

5.5k total citations
277 papers, 4.0k citations indexed

About

Kamran Nikbin is a scholar working on Mechanical Engineering, Mechanics of Materials and Civil and Structural Engineering. According to data from OpenAlex, Kamran Nikbin has authored 277 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 238 papers in Mechanical Engineering, 229 papers in Mechanics of Materials and 62 papers in Civil and Structural Engineering. Recurrent topics in Kamran Nikbin's work include Fatigue and fracture mechanics (200 papers), High Temperature Alloys and Creep (148 papers) and Microstructure and Mechanical Properties of Steels (55 papers). Kamran Nikbin is often cited by papers focused on Fatigue and fracture mechanics (200 papers), High Temperature Alloys and Creep (148 papers) and Microstructure and Mechanical Properties of Steels (55 papers). Kamran Nikbin collaborates with scholars based in United Kingdom, United States and Iran. Kamran Nikbin's co-authors include Catrin M. Davies, G. A. Webster, Noel P. O’Dowd, Farid Reza Biglari, Ali Mehmanparast, Masataka Yatomi, David J. Smith, David Dean, Yun‐Jae Kim and Lei Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Ceramic Society and Materials Science and Engineering A.

In The Last Decade

Kamran Nikbin

267 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kamran Nikbin United Kingdom 32 3.1k 3.1k 985 969 238 277 4.0k
Noel P. O’Dowd Ireland 34 3.3k 1.1× 4.0k 1.3× 1.7k 1.7× 725 0.7× 380 1.6× 165 5.0k
Claude Bathias France 30 2.4k 0.7× 2.8k 0.9× 1.0k 1.0× 613 0.6× 486 2.0× 119 3.5k
Ashok Saxena United States 30 2.2k 0.7× 2.1k 0.7× 1.4k 1.4× 510 0.5× 244 1.0× 131 3.4k
S.T. Tu China 37 3.2k 1.0× 2.3k 0.8× 1.2k 1.3× 548 0.6× 495 2.1× 189 4.3k
T.H. Hyde United Kingdom 35 3.5k 1.1× 2.8k 0.9× 1.1k 1.1× 721 0.7× 314 1.3× 255 4.2k
Ricardo Branco Portugal 33 2.1k 0.7× 2.0k 0.7× 598 0.6× 530 0.5× 170 0.7× 185 3.2k
M.N. James United Kingdom 31 2.2k 0.7× 1.6k 0.5× 593 0.6× 498 0.5× 130 0.5× 134 2.9k
Giovanni Meneghetti Italy 34 2.1k 0.7× 2.8k 0.9× 568 0.6× 1.3k 1.3× 93 0.4× 216 3.7k
D.R. Hayhurst United Kingdom 31 2.9k 0.9× 2.8k 0.9× 1.3k 1.4× 707 0.7× 120 0.5× 111 3.7k
Lei Zhao China 38 3.8k 1.2× 1.9k 0.6× 1.3k 1.3× 638 0.7× 452 1.9× 240 4.4k

Countries citing papers authored by Kamran Nikbin

Since Specialization
Citations

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

Fields of papers citing papers by Kamran Nikbin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamran Nikbin

This figure shows the co-authorship network connecting the top 25 collaborators of Kamran Nikbin. A scholar is included among the top collaborators of Kamran Nikbin 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 Kamran Nikbin. Kamran Nikbin 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.
Hu, Yun, et al.. (2024). Defect characteristics-based low-cycle fatigue life prediction model for additive manufactured Ti-6Al-4 V alloys. Theoretical and Applied Fracture Mechanics. 134. 104737–104737. 5 indexed citations
2.
Hu, Yun, et al.. (2024). A remaining multiaxial ductility-based fracture toughness prediction model for metallic alloys. Theoretical and Applied Fracture Mechanics. 133. 104570–104570. 2 indexed citations
3.
Shibanuma, Kazuki, et al.. (2024). Integrated model for simulating Coble creep deformation and void nucleation/growth in polycrystalline solids - Part I: Theoretical framework. Materials & Design. 244. 113198–113198. 2 indexed citations
4.
Daghigh, Vahid, et al.. (2023). Time-dependent creep analysis of ultra-high-temperature functionally graded rotating disks of variable thickness. Forces in Mechanics. 13. 100235–100235. 7 indexed citations
5.
Nikbin, Kamran, Zhigang Wei, & Sreeramesh Kalluri. (2023). Advances in Accelerated Testing and Predictive Methods in Creep, Fatigue, and Environmental Cracking. 3 indexed citations
6.
Hu, Yun, et al.. (2023). Meso-mechanics-based microstructural modelling approach to predict low cycle fatigue properties in additively manufactured alloys. Engineering Failure Analysis. 154. 107687–107687. 5 indexed citations
7.
Shibanuma, Kazuki, et al.. (2023). Representative volume element model for quantitatively predicting the influence of 3D polycrystalline morphology on Coble creep deformation. Materials & Design. 226. 111635–111635. 4 indexed citations
8.
9.
Tan, Jianping, et al.. (2022). Determination of multiaxial stress rupture criteria for creeping materials: A critical analysis of different approaches. Journal of Material Science and Technology. 137. 14–25. 10 indexed citations
10.
Mehmanparast, Ali & Kamran Nikbin. (2022). Local creep damage effects on subsequent low temperature fatigue crack growth behaviour of thick-walled pressure vessels. Engineering Fracture Mechanics. 272. 108720–108720. 6 indexed citations
11.
12.
Nikbin, Kamran, et al.. (2017). An analytical and numerical approach to multiscale ductility constraint based model to predict uniaxial/multiaxial creep rupture and cracking rates. International Journal of Mechanical Sciences. 135. 342–352. 24 indexed citations
13.
Tkaczyk, Tomasz, et al.. (2015). Qualification of Reeled Mechanically Lined Pipes for Fatigue Service. The Twenty-fifth International Ocean and Polar Engineering Conference. 4 indexed citations
14.
Biglari, Farid Reza, et al.. (2010). Numerical study of stretch-blow molding of PET bottles. World Congress on Engineering. 1544–1549. 1 indexed citations
15.
Tkaczyk, Tomasz, et al.. (2009). Fracture Assessment of Elastic-Plastic Steel Pipelines Subject to Multi-cycle Bending. 2 indexed citations
16.
Eslami, M. R., et al.. (2009). Thermal Buckling of Functionally Graded Beams. 10(2). 65–81. 4 indexed citations
17.
Nikbin, Kamran, et al.. (2006). The Fracture Mechanics Concept of Creep and Creep/Fatigue Crack Growth in Life Assessment. SHILAP Revista de lepidopterología. 7 indexed citations
18.
Kim, Yun‐Jae, et al.. (2003). Finite element based plastic limit loads for cylinders with part-through surface cracks under combined loading. International Journal of Pressure Vessels and Piping. 80(7-8). 527–540. 75 indexed citations
19.
Kwon, Oh‐Seung, Kamran Nikbin, & G. A. Webster. (2001). SA-08-3(069) Failure mechanism in Carbon Manganese steel at 360℃ under multiaxial stress states(Flaw Progress & Failure Mechanism 1). 417–422. 1 indexed citations
20.
Nikbin, Kamran, David J. Smith, & G. A. Webster. (1984). Prediction of creep crack growth from uniaxial creep data. Proceedings of the Royal Society of London A Mathematical and Physical Sciences. 396(1810). 183–197. 130 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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