T. A. Dean

427 total citations
9 papers, 345 citations indexed

About

T. A. Dean is a scholar working on Mechanical Engineering, Mechanics of Materials and Materials Chemistry. According to data from OpenAlex, T. A. Dean has authored 9 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanical Engineering, 7 papers in Mechanics of Materials and 5 papers in Materials Chemistry. Recurrent topics in T. A. Dean's work include Metallurgy and Material Forming (6 papers), Metal Forming Simulation Techniques (5 papers) and Microstructure and mechanical properties (4 papers). T. A. Dean is often cited by papers focused on Metallurgy and Material Forming (6 papers), Metal Forming Simulation Techniques (5 papers) and Microstructure and mechanical properties (4 papers). T. A. Dean collaborates with scholars based in United Kingdom, China and Egypt. T. A. Dean's co-authors include Jianguo Lin, R. Garrett, Mohamed Mohamed, Daniel S. Balint, Zhusheng Shi, Jiaming Luo, Qian Bai, Qiang Zhu, Daijun Yang and Douglas Watson and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Plasticity and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

T. A. Dean

8 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. A. Dean United Kingdom 5 295 222 156 116 45 9 345
Sabita Ghosh India 11 274 0.9× 214 1.0× 126 0.8× 75 0.6× 76 1.7× 18 348
Wei Peng China 12 158 0.5× 229 1.0× 218 1.4× 82 0.7× 31 0.7× 49 414
J. Coër France 12 324 1.1× 253 1.1× 157 1.0× 86 0.7× 24 0.5× 16 367
Monica Soare United States 8 321 1.1× 195 0.9× 252 1.6× 100 0.9× 21 0.5× 19 463
Hongyu Wu China 8 307 1.0× 72 0.3× 100 0.6× 110 0.9× 39 0.9× 20 356
И. Л. Светлов Russia 14 550 1.9× 132 0.6× 187 1.2× 188 1.6× 78 1.7× 66 592
Konrad Perzyński Poland 10 308 1.0× 275 1.2× 205 1.3× 59 0.5× 39 0.9× 60 419
K.W. Siu Hong Kong 7 255 0.9× 114 0.5× 166 1.1× 76 0.7× 50 1.1× 11 342
M. Nandagopal India 14 515 1.7× 225 1.0× 278 1.8× 73 0.6× 29 0.6× 45 597
Д. А. Романов Russia 9 179 0.6× 161 0.7× 110 0.7× 49 0.4× 33 0.7× 67 279

Countries citing papers authored by T. A. Dean

Since Specialization
Citations

This map shows the geographic impact of T. A. Dean'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 T. A. Dean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. A. Dean more than expected).

Fields of papers citing papers by T. A. Dean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. A. Dean. 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 T. A. Dean. The network helps show where T. A. Dean may publish in the future.

Co-authorship network of co-authors of T. A. Dean

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

All Works

9 of 9 papers shown
1.
Lin, Jianguo, et al.. (2020). On Micro-Damage in Hot Metal Working Part 2: Constitutive Modelling. SHILAP Revista de lepidopterología. 55(1). 43–60.
2.
Shi, Zhusheng, et al.. (2016). An Investigation, Using Standard Experimental Techniques, to Determine FLCs at Elevated Temperature for Aluminium Alloys. Spiral (Imperial College London). 3 indexed citations
3.
Bai, Qian, Mohamed Mohamed, Zhusheng Shi, Jianguo Lin, & T. A. Dean. (2016). Application of a continuum damage mechanics (CDM)-based model for predicting formability of warm formed aluminium alloy. The International Journal of Advanced Manufacturing Technology. 88(9-12). 3437–3446. 52 indexed citations
4.
Lin, Jianguo, Mohamed Mohamed, Daniel S. Balint, & T. A. Dean. (2013). The development of continuum damage mechanics-based theories for predicting forming limit diagrams for hot stamping applications. International Journal of Damage Mechanics. 23(5). 684–701. 79 indexed citations
5.
Yang, Daijun, et al.. (2010). Effect of Laminar Cooling on Phase Transformation Evolution in Hot Rolling Process. Journal of Iron and Steel Research International. 17(10). 28–32. 2 indexed citations
6.
Zhu, Qiang, et al.. (2007). An investigation of descaling spray on microstructural evolution in hot rolling. The International Journal of Advanced Manufacturing Technology. 38(1-2). 38–47. 11 indexed citations
7.
Luo, Jiaming, Jianguo Lin, & T. A. Dean. (2006). A study on the determination of mechanical properties of a power law material by its indentation force–depth curve. The Philosophical Magazine A Journal of Theoretical Experimental and Applied Physics. 86(19). 2881–2905. 32 indexed citations
8.
Garrett, R., Jianguo Lin, & T. A. Dean. (2004). An investigation of the effects of solution heat treatment on mechanical properties for AA 6xxx alloys: experimentation and modelling. International Journal of Plasticity. 21(8). 1640–1657. 165 indexed citations
9.
Mufti, Nadeem Ahmad, et al.. (1995). Directional pressure quench casting of aluminium alloys. Materials Science and Technology. 11(8). 803–809. 1 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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