Matthew C. Carlson

11 total papers · 513 total citations
10 papers, 469 citations indexed

About

Matthew C. Carlson is a scholar working on Materials Chemistry, Organic Chemistry and Fluid Flow and Transfer Processes. According to data from OpenAlex, Matthew C. Carlson has authored 10 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 6 papers in Organic Chemistry and 2 papers in Fluid Flow and Transfer Processes. Recurrent topics in Matthew C. Carlson's work include Block Copolymer Self-Assembly (9 papers), Advanced Polymer Synthesis and Characterization (6 papers) and Machine Learning in Materials Science (3 papers). Matthew C. Carlson is often cited by papers focused on Block Copolymer Self-Assembly (9 papers), Advanced Polymer Synthesis and Characterization (6 papers) and Machine Learning in Materials Science (3 papers). Matthew C. Carlson collaborates with scholars based in United States and Japan. Matthew C. Carlson's co-authors include Christopher J. Ellison, Michael J. Maher, C. Grant Willson, Gregory Blachut, William J. Durand, Christopher M. Bates, Stephen M. Sirard, Austin P. Lane, Jeffrey L. Self and Yusuke Asano and has published in prestigious journals such as Chemistry of Materials, Journal of Molecular Biology and Macromolecules.

In The Last Decade

Matthew C. Carlson

10 papers receiving 466 citations

Author Peers

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

Author Last Decade Papers Cites
Matthew C. Carlson 419 250 121 102 71 10 469
Jeffrey Bodycomb 374 0.9× 224 0.9× 58 0.5× 70 0.7× 68 1.0× 14 500
U. Jeong 362 0.9× 159 0.6× 66 0.5× 106 1.0× 106 1.5× 6 417
Adam Nunns 318 0.8× 281 1.1× 83 0.7× 102 1.0× 66 0.9× 14 454
Wonchul Joo 343 0.8× 158 0.6× 146 1.2× 154 1.5× 80 1.1× 13 501
Jongheon Kwak 369 0.9× 276 1.1× 94 0.8× 81 0.8× 50 0.7× 14 439
Umang Nagpal 365 0.9× 189 0.8× 60 0.5× 118 1.2× 40 0.6× 7 411
Changhak Shin 373 0.9× 189 0.8× 73 0.6× 91 0.9× 50 0.7× 8 413
Austin P. Lane 337 0.8× 211 0.8× 109 0.9× 87 0.9× 85 1.2× 11 422
Li‐Chen Cheng 321 0.8× 271 1.1× 52 0.4× 147 1.4× 58 0.8× 12 433
Evan L. Schwartz 340 0.8× 145 0.6× 236 2.0× 131 1.3× 125 1.8× 12 529

Countries citing papers authored by Matthew C. Carlson

Since Specialization
Citations

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

Fields of papers citing papers by Matthew C. Carlson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew C. Carlson

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew C. Carlson. A scholar is included among the top collaborators of Matthew C. Carlson 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 C. Carlson. Matthew C. Carlson 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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2026