John C. DeLaat

50 total papers · 459 total citations
37 papers, 340 citations indexed

About

John C. DeLaat is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Control and Systems Engineering. According to data from OpenAlex, John C. DeLaat has authored 37 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Fluid Flow and Transfer Processes, 18 papers in Computational Mechanics and 17 papers in Control and Systems Engineering. Recurrent topics in John C. DeLaat's work include Advanced Combustion Engine Technologies (19 papers), Combustion and flame dynamics (17 papers) and Real-time simulation and control systems (11 papers). John C. DeLaat is often cited by papers focused on Advanced Combustion Engine Technologies (19 papers), Combustion and flame dynamics (17 papers) and Real-time simulation and control systems (11 papers). John C. DeLaat collaborates with scholars based in United States and Poland. John C. DeLaat's co-authors include Walter C. Merrill, George Kopasakis, Daniel E. Paxson, Kenneth L. Suder, Jeffrey M. Cohen, Changlie Wey, J. B. McVey, M. L. Celestina, W.M. Proscia and Brian Wake and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, Journal of Guidance Control and Dynamics and Journal of Propulsion and Power.

In The Last Decade

John C. DeLaat

36 papers receiving 319 citations

Author Peers

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

Author						Papers	Cites
John C. DeLaat	154	151	128	113	42	37	340
George Kopasakis	132 0.9×	83 0.5×	131 1.0×	71 0.6×	21 0.5×	40	293
Ioanna Aslanidou	89 0.6×	52 0.3×	111 0.9×	35 0.3×	52 1.2×	39	332
Jia Geng	58 0.4×	142 0.9×	51 0.4×	44 0.4×	43 1.0×	41	404
Sangjo Kim	73 0.5×	89 0.6×	184 1.4×	91 0.8×	27 0.6×	38	360
Hanlin Sheng	42 0.3×	130 0.9×	192 1.5×	48 0.4×	13 0.3×	39	353
Avisekh Banerjee	49 0.3×	171 1.1×	65 0.5×	37 0.3×	96 2.3×	28	393
S. Can Gülen	76 0.5×	41 0.3×	90 0.7×	33 0.3×	45 1.1×	37	336
A. M. Tousi	112 0.7×	48 0.3×	192 1.5×	34 0.3×	21 0.5×	24	318
Amare Desalegn Fentaye	21 0.1×	181 1.2×	59 0.5×	44 0.4×	74 1.8×	28	293
Teng Cao	173 1.1×	99 0.7×	225 1.8×	27 0.2×	44 1.0×	39	367

Countries citing papers authored by John C. DeLaat

Since Specialization

Citations

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

Fields of papers citing papers by John C. DeLaat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. DeLaat. 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 John C. DeLaat. The network helps show where John C. DeLaat may publish in the future.

Co-authorship network of co-authors of John C. DeLaat

This figure shows the co-authorship network connecting the top 25 collaborators of John C. DeLaat. A scholar is included among the top collaborators of John C. DeLaat 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 John C. DeLaat. John C. DeLaat 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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