Michael P. Weir

38 total papers · 732 total citations
28 papers, 591 citations indexed

About

Michael P. Weir is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Polymers and Plastics. According to data from OpenAlex, Michael P. Weir has authored 28 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 13 papers in Electrical and Electronic Engineering and 7 papers in Polymers and Plastics. Recurrent topics in Michael P. Weir's work include Quantum Dots Synthesis And Properties (7 papers), Polymer crystallization and properties (6 papers) and Polymer Nanocomposites and Properties (5 papers). Michael P. Weir is often cited by papers focused on Quantum Dots Synthesis And Properties (7 papers), Polymer crystallization and properties (6 papers) and Polymer Nanocomposites and Properties (5 papers). Michael P. Weir collaborates with scholars based in United Kingdom, Australia and United States. Michael P. Weir's co-authors include Andrew J. Parnell, Christopher J. Garvey, Yu‐Chieh Hsu, R. W. Truss, Timothy Nicholson, Peter J. Halley, Richard Jones, Daniel T. W. Toolan, Stephen M. King and Nigel Clarke and has published in prestigious journals such as Journal of the American Chemical Society, Nature Materials and Applied Physics Letters.

In The Last Decade

Michael P. Weir

28 papers receiving 586 citations

Author Peers

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

Author Last Decade Papers Cites
Michael P. Weir 204 146 141 137 123 28 591
A. Pfau 148 0.7× 170 1.2× 145 1.0× 107 0.8× 103 0.8× 20 636
Pascal Carrière 224 1.1× 69 0.5× 160 1.1× 87 0.6× 168 1.4× 23 581
Juping Yang 171 0.8× 94 0.6× 109 0.8× 222 1.6× 73 0.6× 27 551
Manabu Inutsuka 264 1.3× 152 1.0× 149 1.1× 53 0.4× 116 0.9× 30 561
Gerold A. Willing 295 1.4× 56 0.4× 40 0.3× 135 1.0× 190 1.5× 31 565
Wenbo Li 132 0.6× 63 0.4× 172 1.2× 95 0.7× 139 1.1× 36 637
Jinyu Chen 177 0.9× 253 1.7× 130 0.9× 162 1.2× 165 1.3× 39 512
Andrew M. Jimenez 177 0.9× 74 0.5× 266 1.9× 48 0.4× 116 0.9× 27 541
G. Geuskens 151 0.7× 34 0.2× 191 1.4× 89 0.6× 93 0.8× 25 588
J. Behnisch 223 1.1× 306 2.1× 189 1.3× 156 1.1× 161 1.3× 37 658

Countries citing papers authored by Michael P. Weir

Since Specialization
Citations

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

Fields of papers citing papers by Michael P. Weir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. Weir. 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 Michael P. Weir. The network helps show where Michael P. Weir may publish in the future.

Co-authorship network of co-authors of Michael P. Weir

This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. Weir. A scholar is included among the top collaborators of Michael P. Weir 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 Michael P. Weir. Michael P. Weir 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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