David A. Romero

89 total papers · 1.8k total citations
71 papers, 1.3k citations indexed

About

David A. Romero is a scholar working on Aerospace Engineering, Computational Theory and Mathematics and Environmental Engineering. According to data from OpenAlex, David A. Romero has authored 71 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Aerospace Engineering, 21 papers in Computational Theory and Mathematics and 19 papers in Environmental Engineering. Recurrent topics in David A. Romero's work include Wind Energy Research and Development (25 papers), Advanced Multi-Objective Optimization Algorithms (21 papers) and Wind and Air Flow Studies (18 papers). David A. Romero is often cited by papers focused on Wind Energy Research and Development (25 papers), Advanced Multi-Objective Optimization Algorithms (21 papers) and Wind and Air Flow Studies (18 papers). David A. Romero collaborates with scholars based in Canada, United States and Venezuela. David A. Romero's co-authors include Cristina H. Amon, Enrico G. A. Antonini, J. Christopher Beck, David Guirguis, Susan Finger, Carlos Da Silva, Christiaan J. J. Paredis, Roxanne Moore, Olivier Trescases and Carlos B. da Silva and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Physics.

In The Last Decade

David A. Romero

66 papers receiving 1.2k citations

Author Peers

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

Author						Papers	Cites
David A. Romero	732	369	354	243	164	71	1.3k
Koji Shimoyama	220 0.3×	150 0.4×	103 0.3×	679 2.8×	258 1.6×	147	1.5k
Jianhua Zhou	124 0.2×	118 0.3×	166 0.5×	375 1.5×	45 0.3×	72	1.5k
Feng Ju	639 0.9×	282 0.8×	298 0.8×	105 0.4×	117 0.7×	68	1.1k
Jinkyoo Park	501 0.7×	655 1.8×	162 0.5×	71 0.3×	266 1.6×	62	1.6k
Joseph Morlier	244 0.3×	69 0.2×	52 0.1×	454 1.9×	125 0.8×	108	1.7k
Jin Zhao	389 0.5×	166 0.4×	114 0.3×	34 0.1×	181 1.1×	73	1.5k
Wei Xie	164 0.2×	394 1.1×	32 0.1×	78 0.3×	144 0.9×	94	1.4k
Ekaitz Zulueta	498 0.7×	492 1.3×	117 0.3×	27 0.1×	139 0.8×	130	1.5k
Tinghui Ouyang	243 0.3×	775 2.1×	100 0.3×	69 0.3×	447 2.7×	50	1.3k
Brian Sanders	918 1.3×	51 0.1×	35 0.1×	209 0.9×	57 0.3×	78	1.7k

Countries citing papers authored by David A. Romero

Since Specialization

Citations

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

Fields of papers citing papers by David A. Romero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David A. Romero

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