David J. Hayne

100 total papers · 1.8k total citations
60 papers, 1.4k citations indexed

About

David J. Hayne is a scholar working on Materials Chemistry, Mechanical Engineering and Molecular Biology. According to data from OpenAlex, David J. Hayne has authored 60 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Materials Chemistry, 19 papers in Mechanical Engineering and 18 papers in Molecular Biology. Recurrent topics in David J. Hayne's work include Fiber-reinforced polymer composites (16 papers), Advanced biosensing and bioanalysis techniques (16 papers) and Graphene research and applications (10 papers). David J. Hayne is often cited by papers focused on Fiber-reinforced polymer composites (16 papers), Advanced biosensing and bioanalysis techniques (16 papers) and Graphene research and applications (10 papers). David J. Hayne collaborates with scholars based in Australia, United States and France. David J. Hayne's co-authors include Paul S. Donnelly, Luke C. Henderson, Paul S. Francis, SinChun Lim, Egan H. Doeven, Conor F. Hogan, Emily Kerr, Filip Stojcevski, Timothy U. Connell and David J. D. Wilson and has published in prestigious journals such as Journal of the American Chemical Society, Chemical Society Reviews and SHILAP Revista de lepidopterología.

In The Last Decade

David J. Hayne

58 papers receiving 1.4k citations

Author Peers

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

Author						Papers	Cites
David J. Hayne	509	425	290	279	232	60	1.4k
Wentao Wu	445 0.9×	297 0.7×	228 0.8×	592 2.1×	200 0.9×	66	1.5k
Min Guo	254 0.5×	526 1.2×	87 0.3×	364 1.3×	205 0.9×	54	1.3k
Yaru Shi	255 0.5×	431 1.0×	213 0.7×	140 0.5×	57 0.2×	84	1.8k
Xueen Jia	342 0.7×	474 1.1×	82 0.3×	238 0.9×	212 0.9×	33	1.7k
Jian Chen	322 0.6×	630 1.5×	113 0.4×	727 2.6×	39 0.2×	73	1.7k
Sajal K. Ghosh	514 1.0×	164 0.4×	247 0.9×	190 0.7×	139 0.6×	87	1.1k
Min Liu	472 0.9×	322 0.8×	60 0.2×	342 1.2×	90 0.4×	59	1.1k
Xiaoqing Xiong	383 0.8×	848 2.0×	212 0.7×	390 1.4×	32 0.1×	53	1.8k
Ying Yang	281 0.6×	666 1.6×	274 0.9×	61 0.2×	185 0.8×	46	1.8k
Ying Wang	192 0.4×	406 1.0×	122 0.4×	232 0.8×	105 0.5×	54	1.4k

Countries citing papers authored by David J. Hayne

Since Specialization

Citations

This map shows the geographic impact of David J. Hayne'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. Hayne 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. Hayne more than expected).

Fields of papers citing papers by David J. Hayne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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