Matthew Z. Mayers

14 total papers · 635 total citations
8 papers, 506 citations indexed

About

Matthew Z. Mayers is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Automotive Engineering. According to data from OpenAlex, Matthew Z. Mayers has authored 8 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 5 papers in Materials Chemistry and 1 paper in Automotive Engineering. Recurrent topics in Matthew Z. Mayers's work include Perovskite Materials and Applications (4 papers), 2D Materials and Applications (3 papers) and Graphene research and applications (2 papers). Matthew Z. Mayers is often cited by papers focused on Perovskite Materials and Applications (4 papers), 2D Materials and Applications (3 papers) and Graphene research and applications (2 papers). Matthew Z. Mayers collaborates with scholars based in United States, Germany and Brazil. Matthew Z. Mayers's co-authors include David R. Reichman, Thomas F. Miller, Jakub W. Kamiński, Liang Z. Tan, David A. Egger, Mark S. Hybertsen, Andrew M. Rappe, Robert Rashid, Timothy C. Berkelbach and Katherine W. L. Vig and has published in prestigious journals such as The Journal of Chemical Physics, Nano Letters and Physical Review B.

In The Last Decade

Matthew Z. Mayers

8 papers receiving 497 citations

Author Peers

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

Author						Papers	Cites
Matthew Z. Mayers	357	247	106	72	60	8	506
Katsuhiro Kishimoto	219 0.6×	58 0.2×	13 0.1×	49 0.7×	175 2.9×	13	449
Emese Ábrám	126 0.4×	372 1.5×	11 0.1×	59 0.8×	10 0.2×	12	476
Corey M. Staller	228 0.6×	293 1.2×	6 0.1×	43 0.6×	13 0.2×	13	539
Keith M. Moulding	232 0.6×	240 1.0×	2 0.0×	225 3.1×	44 0.7×	15	594
X. L. Huang	153 0.4×	429 1.7×	1 0.0×	62 0.9×	29 0.5×	9	603
Gavin P. Campbell	168 0.5×	424 1.7×	32 0.3×	3 0.0×	72 1.2×	19	518
Denny Thiemig	533 1.5×	366 1.5×	40 0.4×	3 0.0×	106 1.8×	16	588
R. Ernest Demaray	181 0.5×	158 0.6×	4 0.0×	9 0.1×	62 1.0×	8	471
Jorma Peltola	385 1.1×	274 1.1×	3 0.0×	9 0.1×	40 0.7×	8	529
Yunlu Xu	382 1.1×	297 1.2×	21 0.2×	3 0.0×	58 1.0×	8	595

Countries citing papers authored by Matthew Z. Mayers

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Z. Mayers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Z. Mayers. 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 Matthew Z. Mayers. The network helps show where Matthew Z. Mayers may publish in the future.

Co-authorship network of co-authors of Matthew Z. Mayers

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Z. Mayers. A scholar is included among the top collaborators of Matthew Z. Mayers 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 Matthew Z. Mayers. Matthew Z. Mayers 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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