Richard Murdey

110 total papers · 2.5k total citations
68 papers, 2.0k citations indexed

About

Richard Murdey is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Materials Chemistry. According to data from OpenAlex, Richard Murdey has authored 68 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Electrical and Electronic Engineering, 28 papers in Polymers and Plastics and 25 papers in Materials Chemistry. Recurrent topics in Richard Murdey's work include Perovskite Materials and Applications (39 papers), Conducting polymers and applications (26 papers) and Organic Electronics and Photovoltaics (23 papers). Richard Murdey is often cited by papers focused on Perovskite Materials and Applications (39 papers), Conducting polymers and applications (26 papers) and Organic Electronics and Photovoltaics (23 papers). Richard Murdey collaborates with scholars based in Japan, Spain and Sweden. Richard Murdey's co-authors include Atsushi Wakamiya, Yoshihiko Kanemitsu, Tomoya Nakamura, Taketo Handa, Minh Anh Truong, Shuaifeng Hu, Kento Otsuka, W. R. Salaneck, Shinya Yakumaru and Yasujiro Murata and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Richard Murdey

64 papers receiving 2.0k citations

Hit Papers

Optimized carrier extract... 2022 2026 2023 2024 2022 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Richard Murdey 1.7k 892 868 141 122 68 2.0k
David Müller 1.9k 1.2× 744 0.8× 1.0k 1.2× 91 0.6× 194 1.6× 46 2.3k
C. S. Menon 921 0.6× 958 1.1× 422 0.5× 182 1.3× 297 2.4× 132 1.7k
Do‐Hoon Hwang 2.0k 1.2× 702 0.8× 1.7k 1.9× 82 0.6× 174 1.4× 110 2.5k
Mark T. Bernius 1.8k 1.1× 690 0.8× 1.3k 1.5× 76 0.5× 178 1.5× 43 2.5k
Friedrich W. Steuber 945 0.6× 465 0.5× 386 0.4× 176 1.2× 244 2.0× 42 1.6k
Rebecka Lindblad 1.6k 1.0× 1.3k 1.4× 474 0.5× 134 1.0× 197 1.6× 49 2.1k
Tomozo NISHIKAWA 1.5k 0.9× 488 0.5× 463 0.5× 129 0.9× 200 1.6× 65 1.8k
Boone B. Owens 1.6k 1.0× 907 1.0× 932 1.1× 624 4.4× 111 0.9× 71 2.5k
P. Pfluger 1.4k 0.8× 586 0.7× 1.3k 1.5× 180 1.3× 194 1.6× 38 2.2k
Bernard Servet 1.5k 0.9× 1.0k 1.1× 543 0.6× 190 1.3× 506 4.1× 40 2.1k

Countries citing papers authored by Richard Murdey

Since Specialization
Citations

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

Fields of papers citing papers by Richard Murdey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Murdey

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Murdey. A scholar is included among the top collaborators of Richard Murdey 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 Richard Murdey. Richard Murdey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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