T. Barrett

1.6k total citations
50 papers, 951 citations indexed

About

T. Barrett is a scholar working on Materials Chemistry, Aerospace Engineering and Nuclear and High Energy Physics. According to data from OpenAlex, T. Barrett has authored 50 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Materials Chemistry, 23 papers in Aerospace Engineering and 17 papers in Nuclear and High Energy Physics. Recurrent topics in T. Barrett's work include Fusion materials and technologies (31 papers), Nuclear Materials and Properties (20 papers) and Nuclear reactor physics and engineering (17 papers). T. Barrett is often cited by papers focused on Fusion materials and technologies (31 papers), Nuclear Materials and Properties (20 papers) and Nuclear reactor physics and engineering (17 papers). T. Barrett collaborates with scholars based in United Kingdom, Germany and France. T. Barrett's co-authors include M. Fursdon, Yannis Hardalupas, A. Sergis, F. Domptail, J.-H. You, E. Visca, C. Bachmann, F. Gallay, M. Richou and L.V. Boccaccini and has published in prestigious journals such as International Journal of Heat and Mass Transfer, AIAA Journal and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

T. Barrett

47 papers receiving 899 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
T. Barrett 674 336 263 206 203 50 951
L.C. Cadwallader 339 0.5× 178 0.5× 99 0.4× 114 0.6× 137 0.7× 76 630
Xiaoman Cheng 379 0.6× 284 0.8× 125 0.5× 98 0.5× 105 0.5× 48 607
Iván Fernández 531 0.8× 366 1.1× 109 0.4× 122 0.6× 123 0.6× 57 834
J. Boscary 798 1.2× 334 1.0× 258 1.0× 630 3.1× 306 1.5× 95 1.1k
Francisco A. Hernández 1.1k 1.6× 690 2.1× 111 0.4× 265 1.3× 223 1.1× 73 1.2k
K. Ioki 495 0.7× 215 0.6× 190 0.7× 250 1.2× 290 1.4× 61 703
P.A. Di Maio 1.1k 1.6× 751 2.2× 97 0.4× 310 1.5× 250 1.2× 139 1.2k
Alessandro Del Nevo 1.9k 2.8× 1.8k 5.4× 240 0.9× 369 1.8× 361 1.8× 189 2.4k
P. Calderoni 609 0.9× 239 0.7× 77 0.3× 117 0.6× 58 0.3× 54 723
В. Е. Кузнецов 706 1.0× 232 0.7× 469 1.8× 178 0.9× 108 0.5× 87 927

Countries citing papers authored by T. Barrett

Since Specialization
Citations

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

Fields of papers citing papers by T. Barrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Barrett

This figure shows the co-authorship network connecting the top 25 collaborators of T. Barrett. A scholar is included among the top collaborators of T. Barrett 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. Barrett. T. Barrett 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.
Zhu, Bin, W. Kockelmann, T. Barrett, et al.. (2024). The use of time-of-flight neutron Bragg edge imaging to measure the residual strains in W/Cu dissimilar joints for fusion reactors. Nuclear Materials and Energy. 38. 101593–101593. 4 indexed citations
2.
Barrett, T., et al.. (2024). Integrated Methodology for Design and Analysis of First Wall in the STEP Project: A Case Study in the SPR-45 Conceptual Design. IEEE Transactions on Plasma Science. 52(9). 3744–3751. 1 indexed citations
3.
Barrett, T., et al.. (2023). The CHIMERA facility development programme. Fusion Engineering and Design. 194. 113689–113689. 2 indexed citations
4.
Barrett, T., et al.. (2023). CHIMERA Fusion Technology Facility: Testing and Virtual Qualification. Fusion Science & Technology. 79(8). 1039–1050. 9 indexed citations
5.
Bowden, D., M. Fursdon, David Hancock, et al.. (2022). Development and testing of an additively manufactured lattice for DEMO limiters. Nuclear Fusion. 62(3). 36017–36017. 2 indexed citations
6.
Roccella, S., G. Dose, T. Barrett, et al.. (2020). Ultrasonic test results before and after high heat flux testing on W-monoblock mock-ups of EU-DEMO vertical target. Fusion Engineering and Design. 160. 111886–111886. 14 indexed citations
7.
Vízváry, Z., W. Arter, C. Bachmann, et al.. (2020). European DEMO first wall shaping and limiters design and analysis status. Fusion Engineering and Design. 158. 111676–111676. 15 indexed citations
8.
Flinders, K., et al.. (2019). Characterising the impact of castellations on the efficiency of induction heating during testing in the HIVE facility. Fusion Engineering and Design. 146. 2040–2044. 2 indexed citations
9.
Barrett, T., B. Chuilon, M. Kovari, et al.. (2019). Designs and technologies for plasma-facing wall protection in EU DEMO. Nuclear Fusion. 59(5). 56019–56019. 21 indexed citations
10.
You, J.-H., E. Visca, T. Barrett, et al.. (2018). European divertor target concepts for DEMO: Design rationales and high heat flux performance. Nuclear Materials and Energy. 16. 1–11. 118 indexed citations
11.
Sergis, A., et al.. (2018). Visualisation of subcooled pool boiling in nanofluids. Fusion Engineering and Design. 146. 153–156. 15 indexed citations
12.
Sergis, A., Yannis Hardalupas, & T. Barrett. (2017). Isothermal analysis of nanofluid flow inside HyperVapotrons using particle image velocimetry. Experimental Thermal and Fluid Science. 93. 32–44. 4 indexed citations
13.
Sergis, A., et al.. (2017). Measurement of flow velocity during turbulent natural convection in nanofluids. Fusion Engineering and Design. 123. 72–76. 10 indexed citations
14.
Barrett, T., G. Ellwood, G. Perez, et al.. (2016). Plasma facing components for the European DEMO: advances in engineering designs. Max Planck Digital Library. 1 indexed citations
15.
Boccaccini, L.V., G. Aiello, Julien Aubert, et al.. (2016). Objectives and status of EUROfusion DEMO blanket studies. Fusion Engineering and Design. 109-111. 1199–1206. 170 indexed citations
16.
Sergis, A., Yannis Hardalupas, & T. Barrett. (2014). Isothermal velocity measurements in two HyperVapotron geometries using Particle Image Velocimetry (PIV). Experimental Thermal and Fluid Science. 61. 48–58. 8 indexed citations
17.
Barrett, T., S. Robinson, K. Flinders, A. Sergis, & Yannis Hardalupas. (2013). Investigating the use of nanofluids to improve high heat flux cooling systems. Fusion Engineering and Design. 88(9-10). 2594–2597. 51 indexed citations
18.
Barrett, T., Neil W. Bressloff, & Andy J. Keane. (2006). Airfoil Shape Design and Optimization Using Multifidelity Analysis and Embedded Inverse Design. AIAA Journal. 44(9). 2051–2060. 25 indexed citations
19.
Barrett, T., Neil W. Bressloff, & Andy J. Keane. (2006). Airfoil Design and Optimization Using Multi-Fidelity Analysis and Embedded Inverse Design. 13 indexed citations
20.
Barrett, T., et al.. (1995). Geosynthetic Sand Pack for Free Product Wells. 167–181. 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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