Michelle Kirby

109 total papers · 1.1k total citations
83 papers, 755 citations indexed

About

Michelle Kirby is a scholar working on Aerospace Engineering, Automotive Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Michelle Kirby has authored 83 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Aerospace Engineering, 26 papers in Automotive Engineering and 26 papers in Statistics, Probability and Uncertainty. Recurrent topics in Michelle Kirby's work include Air Traffic Management and Optimization (30 papers), Noise Effects and Management (22 papers) and Advanced Aircraft Design and Technologies (21 papers). Michelle Kirby is often cited by papers focused on Air Traffic Management and Optimization (30 papers), Noise Effects and Management (22 papers) and Advanced Aircraft Design and Technologies (21 papers). Michelle Kirby collaborates with scholars based in United States and Australia. Michelle Kirby's co-authors include Dimitri N. Mavris, Tejas G. Puranik, Matthew J. LeVine, Olivia J. Pinon-Fischer, Yongchang Li, Taewoo Nam, Cedric Y. Justin, Cédric Payan, James Simmie and Stéphane Dufresne and has published in prestigious journals such as Sustainability, SAE technical papers on CD-ROM/SAE technical paper series and Journal of Aircraft.

In The Last Decade

Michelle Kirby

77 papers receiving 707 citations

Author Peers

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

Author Last Decade Papers Cites
Michelle Kirby 295 195 190 159 118 83 755
Tejas G. Puranik 295 1.0× 221 1.1× 128 0.7× 36 0.2× 93 0.8× 60 748
William Crossley 333 1.1× 52 0.3× 65 0.3× 217 1.4× 114 1.0× 85 668
Rosa María Arnaldo Valdés 434 1.5× 123 0.6× 123 0.6× 45 0.3× 68 0.6× 95 718
Víctor Fernando Gómez Comendador 441 1.5× 123 0.6× 125 0.7× 45 0.3× 64 0.5× 90 722
Natasha Neogi 446 1.5× 52 0.3× 56 0.3× 64 0.4× 162 1.4× 61 660
Volker Gollnick 501 1.7× 77 0.4× 63 0.3× 394 2.5× 180 1.5× 119 903
Jasenka Rakas 325 1.1× 52 0.3× 51 0.3× 96 0.6× 116 1.0× 51 639
John-Paul B. Clarke 585 2.0× 25 0.1× 42 0.2× 77 0.5× 82 0.7× 30 748
Maria Nadia Postorino 167 0.6× 17 0.1× 35 0.2× 44 0.3× 183 1.6× 62 796
Junzi Sun 528 1.8× 26 0.1× 35 0.2× 127 0.8× 121 1.0× 59 795

Countries citing papers authored by Michelle Kirby

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Kirby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Kirby

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Kirby. A scholar is included among the top collaborators of Michelle Kirby 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 Michelle Kirby. Michelle Kirby 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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2026