David J. Torres

47 total papers · 926 total citations
24 papers, 712 citations indexed

About

David J. Torres is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, David J. Torres has authored 24 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Mechanics, 6 papers in Fluid Flow and Transfer Processes and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in David J. Torres's work include Advanced Combustion Engine Technologies (6 papers), Combustion and flame dynamics (4 papers) and Plant and animal studies (3 papers). David J. Torres is often cited by papers focused on Advanced Combustion Engine Technologies (6 papers), Combustion and flame dynamics (4 papers) and Plant and animal studies (3 papers). David J. Torres collaborates with scholars based in United States and France. David J. Torres's co-authors include J. U. Brackbill, Mario F. Trujillo, Didier Jamet, P.J. O’Rourke, A.A. Amsden, David J. Raymond, Jorge Crichigno, Jianwen Yi, Song‐Charng Kong and David Masopust and has published in prestigious journals such as PLoS ONE, Journal of Computational Physics and Journal of the Atmospheric Sciences.

In The Last Decade

David J. Torres

23 papers receiving 677 citations

Author Peers

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

Author						Papers	Cites
David J. Torres	506	216	104	80	70	24	712
Qing Tang	289 0.6×	113 0.5×	71 0.7×	125 1.6×	13 0.2×	39	879
R. Günther	596 1.2×	296 1.4×	80 0.8×	27 0.3×	25 0.4×	21	752
M. S. Raju	479 0.9×	219 1.0×	124 1.2×	60 0.8×	14 0.2×	36	633
Xue Dong	337 0.7×	284 1.3×	134 1.3×	60 0.8×	30 0.4×	46	636
William L. George	79 0.2×	61 0.3×	36 0.3×	112 1.4×	222 3.2×	44	694
Hiroshi Saito	140 0.3×	34 0.2×	39 0.4×	56 0.7×	60 0.9×	52	846
Anquan Wang	367 0.7×	43 0.2×	35 0.3×	11 0.1×	36 0.5×	44	723
Eugene Lubarsky	448 0.9×	211 1.0×	27 0.3×	37 0.5×	5 0.1×	59	736
J. Rodríguez	161 0.3×	20 0.1×	251 2.4×	9 0.1×	100 1.4×	49	800
R. E. Henderson	340 0.7×	109 0.5×	180 1.7×	51 0.6×	39 0.6×	31	670

Countries citing papers authored by David J. Torres

Since Specialization

Citations

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

Fields of papers citing papers by David J. Torres

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Torres. 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 David J. Torres. The network helps show where David J. Torres may publish in the future.

Co-authorship network of co-authors of David J. Torres

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Torres. A scholar is included among the top collaborators of David J. Torres 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 David J. Torres. David J. Torres 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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