Matthew C. Carlson

513 citations
10 papers · 469 indexed · h-index 9
Topics
Block Copolymer Self-Assembly (9 papers)Advanced Polymer Synthesis and Characterization (6 papers)Machine Learning in Materials Science (3 papers)
Partner nations
United StatesJapan

In The Last Decade

Matthew C. Carlson

10 papers receiving 466 citations

Peers

Matthew C. Carlson
Comparison fields: 5 of 39
  • Materials Chemistry 421
  • Organic Chemistry 249
  • Electrical and Electronic Engineering 121
  • Surfaces, Coatings and Films 102
  • Biomedical Engineering 71
Replace Takehiro Seshimo with:
Takehiro Seshimo Japan
Austin P. Lane United States
Sunshine X. Zhou United States
U. Jeong South Korea
Adam Nunns United Kingdom
Li‐Chen Cheng United States
Myung Im Kim Japan
Yicheng Qiang China
Christopher A. Tyler United States
Russell K. W. Spencer Canada
Matthew C. Carlson relative to Takehiro Seshimo Japan Takehiro Seshimo's profile →
Citations per field
00.5×1.5×2.4×
Takehiro Seshimo · 1×
Citations per year

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

10 of 10 papers shown
#WorkIndexed citations
1 7
2 9
3 12
4 24
5 68
6 34
7 50
8 99
9 138
10 28

About Matthew C. Carlson

Matthew C. Carlson is a scholar working on Fluid Flow and Transfer Processes, Organic Chemistry and Materials Chemistry, having authored 10 papers that have together received 469 indexed citations. Recurring topics across this work include Block Copolymer Self-Assembly (9 papers), Advanced Polymer Synthesis and Characterization (6 papers) and Machine Learning in Materials Science (3 papers). The work is most often cited by research in Surfaces, Coatings and Films (102 citations), Materials Chemistry (421 citations) and Organic Chemistry (249 citations). Matthew C. Carlson has collaborated with scholars based in United States and Japan. Frequent co-authors include Michael J. Maher, Christopher J. Ellison, C. Grant Willson, Gregory Blachut, William J. Durand, Christopher M. Bates, Stephen M. Sirard, Austin P. Lane, Jeffrey L. Self and Sunshine X. Zhou. Their work appears in journals such as Chemistry of Materials, Journal of Molecular Biology and Macromolecules.

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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