Don M. Mayder

51 total papers · 595 total citations
18 papers, 465 citations indexed

About

Don M. Mayder is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Organic Chemistry. According to data from OpenAlex, Don M. Mayder has authored 18 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 12 papers in Electrical and Electronic Engineering and 5 papers in Organic Chemistry. Recurrent topics in Don M. Mayder's work include Luminescence and Fluorescent Materials (14 papers), Organic Light-Emitting Diodes Research (12 papers) and Organic Electronics and Photovoltaics (5 papers). Don M. Mayder is often cited by papers focused on Luminescence and Fluorescent Materials (14 papers), Organic Light-Emitting Diodes Research (12 papers) and Organic Electronics and Photovoltaics (5 papers). Don M. Mayder collaborates with scholars based in Canada, United States and India. Don M. Mayder's co-authors include Zachary M. Hudson, Christopher M. Tonge, Nathan R. Paisley, Martins S. Oderinde, Jade Poisson, Saeid Kamal, Ethan R. Sauvé, Thomas G. Back, Megan A. Emmanuel and Sarah A. Burke and has published in prestigious journals such as Journal of the American Chemical Society, Chemistry of Materials and Advanced Functional Materials.

In The Last Decade

Don M. Mayder

18 papers receiving 459 citations

Author Peers

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

Author						Papers	Cites
Don M. Mayder	287	211	171	62	41	18	465
Beate Priewisch	242 0.8×	124 0.6×	194 1.1×	85 1.4×	54 1.3×	14	449
Gideon E. Mathias	230 0.8×	112 0.5×	180 1.1×	31 0.5×	36 0.9×	32	460
Masafumi Adachi	254 0.9×	121 0.6×	142 0.8×	42 0.7×	44 1.1×	16	457
Grégory Dupeyre	135 0.5×	91 0.4×	176 1.0×	29 0.5×	53 1.3×	19	407
Abhaya Kumar Mishra	197 0.7×	111 0.5×	303 1.8×	30 0.5×	117 2.9×	30	552
Ismail O. Amodu	279 1.0×	156 0.7×	108 0.6×	39 0.6×	26 0.6×	27	432
Rodrigo da Costa Duarte	194 0.7×	107 0.5×	157 0.9×	22 0.4×	66 1.6×	27	407
Christian G. Tortzen	259 0.9×	67 0.3×	241 1.4×	23 0.4×	88 2.1×	23	491
Thomas Fellowes	246 0.9×	76 0.4×	123 0.7×	44 0.7×	37 0.9×	24	450
Hiroyuki Otani	174 0.6×	115 0.5×	383 2.2×	43 0.7×	29 0.7×	28	503

Countries citing papers authored by Don M. Mayder

Since Specialization

Citations

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

Fields of papers citing papers by Don M. Mayder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Don M. Mayder. 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 Don M. Mayder. The network helps show where Don M. Mayder may publish in the future.

Co-authorship network of co-authors of Don M. Mayder

This figure shows the co-authorship network connecting the top 25 collaborators of Don M. Mayder. A scholar is included among the top collaborators of Don M. Mayder 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 Don M. Mayder. Don M. Mayder 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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