Jeff Jagoda

72 total papers · 925 total citations
55 papers, 714 citations indexed

About

Jeff Jagoda is a scholar working on Computational Mechanics, Aerospace Engineering and Fluid Flow and Transfer Processes. According to data from OpenAlex, Jeff Jagoda has authored 55 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computational Mechanics, 36 papers in Aerospace Engineering and 13 papers in Fluid Flow and Transfer Processes. Recurrent topics in Jeff Jagoda's work include Combustion and flame dynamics (33 papers), Combustion and Detonation Processes (16 papers) and Aerodynamics and Acoustics in Jet Flows (13 papers). Jeff Jagoda is often cited by papers focused on Combustion and flame dynamics (33 papers), Combustion and Detonation Processes (16 papers) and Aerodynamics and Acoustics in Jet Flows (13 papers). Jeff Jagoda collaborates with scholars based in United States, India and France. Jeff Jagoda's co-authors include Ben T. Zinn, Jerry Seitzman, Yedidia Neumeier, R. I. Sujith, David Scarborough, Tim Lieuwen, Suraj Nair, B. Zinn, Yunfeng Chen and Sheng‐Kai Liang and has published in prestigious journals such as AIAA Journal, Combustion and Flame and Proceedings of the Combustion Institute.

In The Last Decade

Jeff Jagoda

53 papers receiving 675 citations

Author Peers

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

Author						Papers	Cites
Jeff Jagoda	575	325	266	115	61	55	714
Wolfgang Leuckel	536 0.9×	291 0.9×	271 1.0×	229 2.0×	86 1.4×	68	752
Jens Klingmann	670 1.2×	201 0.6×	476 1.8×	141 1.2×	79 1.3×	68	826
T. M. Muruganandam	557 1.0×	283 0.9×	249 0.9×	98 0.9×	30 0.5×	56	634
Yuzhen Lin	530 0.9×	158 0.5×	325 1.2×	87 0.8×	93 1.5×	66	846
Mario Sánchez–Sanz	574 1.0×	312 1.0×	324 1.2×	136 1.2×	82 1.3×	48	696
Satyanarayanan R. Chakravarthy	531 0.9×	252 0.8×	287 1.1×	102 0.9×	106 1.7×	77	835
Gilles Godard	475 0.8×	197 0.6×	167 0.6×	116 1.0×	121 2.0×	52	671
Guanghua Wang	592 1.0×	150 0.5×	345 1.3×	127 1.1×	34 0.6×	40	710
Chao Xu	451 0.8×	295 0.9×	354 1.3×	141 1.2×	51 0.8×	57	732
Bruno Coriton	620 1.1×	147 0.5×	384 1.4×	193 1.7×	58 1.0×	28	737

Countries citing papers authored by Jeff Jagoda

Since Specialization

Citations

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

Fields of papers citing papers by Jeff Jagoda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Jagoda

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Jagoda. A scholar is included among the top collaborators of Jeff Jagoda 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 Jeff Jagoda. Jeff Jagoda 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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