Nicholas Burgess

93 total papers · 530 total citations
50 papers, 428 citations indexed

About

Nicholas Burgess is a scholar working on Finance, Computational Mechanics and Strategy and Management. According to data from OpenAlex, Nicholas Burgess has authored 50 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Finance, 18 papers in Computational Mechanics and 7 papers in Strategy and Management. Recurrent topics in Nicholas Burgess's work include Computational Fluid Dynamics and Aerodynamics (18 papers), Advanced Numerical Methods in Computational Mathematics (15 papers) and Stochastic processes and financial applications (10 papers). Nicholas Burgess is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (18 papers), Advanced Numerical Methods in Computational Mathematics (15 papers) and Stochastic processes and financial applications (10 papers). Nicholas Burgess collaborates with scholars based in United Kingdom, United States and Norway. Nicholas Burgess's co-authors include Dimitri J. Mavriplis, Khosro Shahbazi, Steven R. Allmaras, Li Wang, Kyle Anderson, David Darmofal, Marshall C. Galbraith, Anirban Garai, Andrew M. Wissink and M A Moore and has published in prestigious journals such as Journal of Computational Physics, AIAA Journal and Computational Geosciences.

In The Last Decade

Nicholas Burgess

47 papers receiving 417 citations

Author Peers

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

Author						Papers	Cites
Nicholas Burgess	333	50	48	47	40	50	428
Andrea Barth	137 0.4×	157 3.1×	50 1.0×	13 0.3×	23 0.6×	27	463
Thomas M. Surowiec	57 0.2×	31 0.6×	17 0.4×	27 0.6×	7 0.2×	38	380
Lixin Wu	91 0.3×	235 4.7×	20 0.4×	27 0.6×	8 0.2×	29	413
Muddun Bhuruth	132 0.4×	249 5.0×	10 0.2×	32 0.7×	22 0.6×	46	477
J. R. Dorroh	37 0.1×	29 0.6×	13 0.3×	103 2.2×	35 0.9×	35	475
Zui‐Cha Deng	86 0.3×	58 1.2×	16 0.3×	121 2.6×	155 3.9×	36	486
Muhammad Zaid Dauhoo	96 0.3×	4 0.1×	42 0.9×	15 0.3×	16 0.4×	41	466
Wei Mao	22 0.1×	105 2.1×	40 0.8×	152 3.2×	23 0.6×	43	417
M. Yousuf	94 0.3×	150 3.0×	34 0.7×	27 0.6×	19 0.5×	36	428
Chao Zhou	70 0.2×	216 4.3×	60 1.3×	18 0.4×	43 1.1×	44	395

Countries citing papers authored by Nicholas Burgess

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas Burgess

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Burgess

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

All Works

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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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