GT Parks

640 total citations
48 papers, 415 citations indexed

About

GT Parks is a scholar working on Aerospace Engineering, Materials Chemistry and Safety, Risk, Reliability and Quality. According to data from OpenAlex, GT Parks has authored 48 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Aerospace Engineering, 14 papers in Materials Chemistry and 9 papers in Safety, Risk, Reliability and Quality. Recurrent topics in GT Parks's work include Nuclear reactor physics and engineering (21 papers), Nuclear Materials and Properties (11 papers) and Nuclear and radioactivity studies (9 papers). GT Parks is often cited by papers focused on Nuclear reactor physics and engineering (21 papers), Nuclear Materials and Properties (11 papers) and Nuclear and radioactivity studies (9 papers). GT Parks collaborates with scholars based in United Kingdom, South Sudan and Russia. GT Parks's co-authors include P. John Clarkson, Timoleon Kipouros, Daniel Jaeggi, M. F. Ashby, Eugene Shwageraus, Jeffery Lewins, Mark Savill, Ben Lindley, Keith A. Seffen and Kristina Shea and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Journal of Chemical Theory and Computation.

In The Last Decade

GT Parks

46 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
GT Parks United Kingdom 10 155 121 98 65 62 48 415
Anderson Alvarenga de Moura Meneses Brazil 11 117 0.8× 57 0.5× 52 0.5× 22 0.3× 14 0.2× 31 397
Kwang-Il Ahn South Korea 13 237 1.5× 33 0.3× 152 1.6× 24 0.4× 18 0.3× 67 532
Kaifeng Yang China 11 45 0.3× 178 1.5× 26 0.3× 38 0.6× 18 0.3× 37 422
S. Carlos Spain 15 220 1.4× 42 0.3× 65 0.7× 27 0.4× 29 0.5× 37 796
Zhen He China 11 125 0.8× 52 0.4× 54 0.6× 33 0.5× 11 0.2× 50 605
Haibo Yu China 9 34 0.2× 287 2.4× 74 0.8× 75 1.2× 23 0.4× 39 881
Luciano De Tommasi Ireland 13 30 0.2× 115 1.0× 21 0.2× 43 0.7× 17 0.3× 38 576
Roman B. Statnikov United States 11 70 0.5× 150 1.2× 11 0.1× 90 1.4× 70 1.1× 33 435
Marco Codegone Italy 7 23 0.1× 136 1.1× 16 0.2× 62 1.0× 36 0.6× 25 455
Mengqi Li China 12 59 0.4× 48 0.4× 38 0.4× 58 0.9× 8 0.1× 42 490

Countries citing papers authored by GT Parks

Since Specialization
Citations

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

Fields of papers citing papers by GT Parks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of GT Parks

This figure shows the co-authorship network connecting the top 25 collaborators of GT Parks. A scholar is included among the top collaborators of GT Parks 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 GT Parks. GT Parks 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.
Forsberg, Charles, et al.. (2019). Fluoride-salt-cooled high-temperature reactor (FHR) using British advanced gas-cooled reactor (AGR) geometry and refueling technology. Cambridge University Engineering Department Publications Database. 1 indexed citations
2.
Parks, GT, et al.. (2018). Sensitivity of differential evolution algorithms for multi-objective optimization problems in fuel assembly design. Cambridge University Engineering Department Publications Database. 1 indexed citations
3.
Parks, GT, et al.. (2014). Multi-objective optimization (MDO) and differential geometry controlled pareto front solution spacing. Cambridge University Engineering Department Publications Database. 1 indexed citations
4.
Lindley, Ben, Fausto Franceschini, & GT Parks. (2013). Void reactivity feedback analysis for U-based and Th-based LWR incineration cycles. Cambridge University Engineering Department Publications Database. 4 indexed citations
5.
Palmer, Patrick, et al.. (2007). Multi-objective evolutionary optimisation of submarine electric drive - system design and hybrid drive control strategy. Cambridge University Engineering Department Publications Database. 1 indexed citations
6.
Ghisu, Tiziano, et al.. (2006). Multi-Objective Optimisation of Aero-Engine Compressors. UNICA IRIS Institutional Research Information System (University of Cagliari). 7 indexed citations
7.
Kipouros, Timoleon, et al.. (2005). Multi-objective aerodynamic design optimisation for axial compressors. Cambridge University Engineering Department Publications Database. 1 indexed citations
8.
Kipouros, Timoleon, et al.. (2005). A multi-objective parallel Tabu Search algorithm for constrained optimisation problems. Cambridge University Engineering Department Publications Database. 1 indexed citations
9.
Kipouros, Timoleon, et al.. (2004). Multi-objective aerodynamic design optimisation. Cambridge University Engineering Department Publications Database. 7 indexed citations
10.
Parks, GT, et al.. (2001). A simulated annealing based scheduling algorithm for selecting reverse osmosis membrane cleaning schedules. Cambridge University Engineering Department Publications Database. 1 indexed citations
11.
Shea, Kristina, et al.. (2000). Topological optimisation of bicycle frames using a structural shape grammar. Cambridge University Engineering Department Publications Database. 1 indexed citations
12.
Parks, GT, et al.. (1999). Multiobjective optimization of PWR reload core designs using simulated annealing. Cambridge University Engineering Department Publications Database. 9 indexed citations
13.
Parks, GT, et al.. (1999). Can a structure grow towards an optimum topology layout? - Metamorphic development: a new topology optimisation method.. Cambridge University Engineering Department Publications Database. 7 indexed citations
14.
Parks, GT, et al.. (1999). Design by multiobjective optimisation using simulated annealing. Cambridge University Engineering Department Publications Database. 10 indexed citations
15.
Parks, GT, et al.. (1999). Multiobjective optimisation of bicycle frames using simulated annealing. Tuwhera (Auckland University of Technology). 5 indexed citations
16.
Clarkson, P. John, et al.. (1999). Design for structural performance by multi-factor optimisation. Cambridge University Engineering Department Publications Database. 1 indexed citations
17.
Parks, GT, et al.. (1999). Simulated annealing: An alternative approach to true multiobjective optimization. Cambridge University Engineering Department Publications Database. 22 indexed citations
18.
Parks, GT. (1995). Multiobjective PWR reload core optimization using a genetic algorithm. Cambridge University Engineering Department Publications Database. 6 indexed citations
19.
Parks, GT, et al.. (1994). Constrained minimization of fresh reload enrichment within the FORMOSA code’s nodal GPT and optimization framework. Cambridge University Engineering Department Publications Database. 1 indexed citations
20.
Parks, GT, et al.. (1994). The efficiency and fidelity of the in-core nuclear fuel management code FORMOSA-P. Cambridge University Engineering Department Publications Database. 8 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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