K. Pericleous

6.5k total citations · 2 hit papers
224 papers, 4.9k citations indexed

About

K. Pericleous is a scholar working on Mechanical Engineering, Materials Chemistry and Aerospace Engineering. According to data from OpenAlex, K. Pericleous has authored 224 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Mechanical Engineering, 85 papers in Materials Chemistry and 75 papers in Aerospace Engineering. Recurrent topics in K. Pericleous's work include Metallurgical Processes and Thermodynamics (69 papers), Aluminum Alloy Microstructure Properties (55 papers) and Solidification and crystal growth phenomena (52 papers). K. Pericleous is often cited by papers focused on Metallurgical Processes and Thermodynamics (69 papers), Aluminum Alloy Microstructure Properties (55 papers) and Solidification and crystal growth phenomena (52 papers). K. Pericleous collaborates with scholars based in United Kingdom, Russia and Germany. K. Pericleous's co-authors include N.C. Markatos, Norbert Gonzalez-Flesca, Sotiris Vardoulakis, B.E.A. Fisher, Iakovos Tzanakis, Dmitry Eskin, Bruno Lebon, V. Bojarevičs, M. Cross and Georgi Djambazov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Fluid Mechanics and Acta Materialia.

In The Last Decade

K. Pericleous

216 papers receiving 4.7k citations

Hit Papers

Modelling air quality in street canyons: a review 1984 2026 1998 2012 2002 1984 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Pericleous United Kingdom 34 2.1k 1.5k 1.4k 1.2k 957 224 4.9k
Nigel Clark United States 39 1.3k 0.6× 735 0.5× 347 0.3× 1.1k 1.0× 595 0.6× 315 6.1k
Gordon E. Andrews United Kingdom 33 865 0.4× 432 0.3× 1.9k 1.4× 1.7k 1.4× 277 0.3× 263 5.0k
Shouxiang Lu China 39 576 0.3× 1.3k 0.9× 1.5k 1.1× 827 0.7× 301 0.3× 279 5.6k
Simone Hochgreb United Kingdom 40 447 0.2× 659 0.5× 977 0.7× 3.4k 2.8× 396 0.4× 201 5.3k
Bo G Leckner Sweden 57 3.7k 1.8× 1.6k 1.1× 641 0.5× 5.0k 4.2× 355 0.4× 278 11.4k
Mohamed A. Habib Saudi Arabia 46 2.8k 1.3× 1.5k 1.0× 920 0.7× 2.8k 2.3× 483 0.5× 299 7.8k
Jiang Zhu China 19 1.8k 0.8× 199 0.1× 2.3k 1.7× 4.0k 3.3× 2.1k 2.2× 122 7.3k
Agus P. Sasmito Canada 46 2.5k 1.2× 539 0.4× 397 0.3× 739 0.6× 513 0.5× 252 6.3k
John B. Heywood United States 57 1.0k 0.5× 1.2k 0.8× 1.6k 1.2× 4.7k 4.0× 376 0.4× 217 9.8k
Tat Leung Chan Hong Kong 34 498 0.2× 379 0.3× 502 0.4× 1.0k 0.9× 651 0.7× 121 3.8k

Countries citing papers authored by K. Pericleous

Since Specialization
Citations

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

Fields of papers citing papers by K. Pericleous

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Pericleous

This figure shows the co-authorship network connecting the top 25 collaborators of K. Pericleous. A scholar is included among the top collaborators of K. Pericleous 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 K. Pericleous. K. Pericleous 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.
Kao, Andrew, et al.. (2023). A study of the complex dynamics of dendrite solidification coupled to structural mechanics.. IOP Conference Series Materials Science and Engineering. 1281(1). 12045–12045.
2.
Khavari, Mohammad, Abhinav Priyadarshi, Justin A. Morton, et al.. (2023). Cavitation-induced shock wave behaviour in different liquids. Ultrasonics Sonochemistry. 94. 106328–106328. 48 indexed citations
3.
Eskin, Dmitry, et al.. (2023). Ultrasonic melt processing upon direct-chill casting of aluminium alloys. IOP Conference Series Materials Science and Engineering. 1274(1). 12020–12020. 1 indexed citations
5.
Khavari, Mohammad, Abhinav Priyadarshi, Andrew Hurrell, et al.. (2021). Characterization of shock waves in power ultrasound. Journal of Fluid Mechanics. 915. 58 indexed citations
6.
Kao, Andrew, et al.. (2020). Moment‐based boundary conditions for straight on‐grid boundaries in three‐dimensional lattice Boltzmann simulations. International Journal for Numerical Methods in Fluids. 92(12). 1948–1974. 15 indexed citations
7.
Kao, Andrew & K. Pericleous. (2012). Investigating magnetic field orientation as an operational parameter in thermo-electric MHD solidification. Greenwich Academic Literature Archive (University of Greenwich). 260–264. 1 indexed citations
8.
Wang, Hong, Georgi Djambazov, & K. Pericleous. (2011). Numerical study of crucial parameters in tilt casting for titanium aluminides. SHILAP Revista de lepidopterología. 2 indexed citations
9.
Bojarevičs, V. & K. Pericleous. (2010). Time dependent MHD models for aluminium reduction cells. Phytochemistry. 66(11). 1198–9. 3 indexed citations
10.
Djambazov, Georgi, V. Bojarevičs, & K. Pericleous. (2009). Vacuum arc remelting time dependent modelling. Magnetohydrodynamics. 45(4). 579–586.
11.
Knight, Brian, et al.. (2006). A mathematical description of the acoustic coupling of the mass/spring model. Applied Mathematical Modelling. 31(12). 2684–2695. 1 indexed citations
12.
Pericleous, K., et al.. (2005). Maximising heat transfer efficiency in the cold crucible induction melting process. University of Birmingham Research Portal (University of Birmingham). 102(9). 1317–1343. 1 indexed citations
13.
Pericleous, K., et al.. (2002). Modeling of freeze layers and refractory wear in direct smelting processes. Greenwich Academic Literature Archive (University of Greenwich). 29(9). 41–45. 1 indexed citations
14.
Taylor, Gareth, et al.. (2002). Finite volume methods applied to the computational modelling of welding phenomena. Applied Mathematical Modelling. 26(2). 311–322. 52 indexed citations
15.
Pericleous, K., et al.. (2001). Details of an integrated approach to three- dimensional dynamic fluid structure interaction. WIT transactions on the built environment. 56. 1 indexed citations
16.
Lai, Chien‐Hung, et al.. (1998). A defect equation approach for the coupling of subdomains in domain decomposition methods. Computers & Mathematics with Applications. 35(6). 81–94. 5 indexed citations
17.
Cross, M., et al.. (1996). PHYSICA - A software environment for the modelling of multi-physics phenomena. ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. 76. 101–104. 7 indexed citations
18.
Cross, M., et al.. (1996). A natural extension of the conventional finite volume method into polygonal unstructured meshes for CFD application. Applied Mathematical Modelling. 20(2). 170–183. 60 indexed citations
19.
Hughes, Michael S., K. Pericleous, & M. Cross. (1995). The numerical modelling of DC electromagnetic pump and brake flow. Applied Mathematical Modelling. 19(12). 713–723. 35 indexed citations
20.
Pericleous, K., et al.. (1970). Modelling Combined Heat Transfer,Convection, Solidification And StressDeformation In Castings. WIT transactions on engineering sciences. 5. 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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