Matthew Tamasi

18 total papers · 557 total citations
12 papers, 385 citations indexed

About

Matthew Tamasi is a scholar working on Biomedical Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Matthew Tamasi has authored 12 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 5 papers in Materials Chemistry and 4 papers in Molecular Biology. Recurrent topics in Matthew Tamasi's work include Innovative Microfluidic and Catalytic Techniques Innovation (5 papers), Machine Learning in Materials Science (4 papers) and Advanced Polymer Synthesis and Characterization (2 papers). Matthew Tamasi is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (5 papers), Machine Learning in Materials Science (4 papers) and Advanced Polymer Synthesis and Characterization (2 papers). Matthew Tamasi collaborates with scholars based in United States, United Kingdom and Sweden. Matthew Tamasi's co-authors include Adam J. Gormley, Shashank Kosuri, Rahul Upadhya, Travis A. Meyer, Roshan Patel, Carlos H. Borca, Michael A. Webb, N. Sanjeeva Murthy, César E. Ramírez and Michael E. Webb and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Advanced Drug Delivery Reviews.

In The Last Decade

Matthew Tamasi

12 papers receiving 378 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 Tamasi 176 122 102 91 77 12 385
Shashank Kosuri 167 0.9× 109 0.9× 109 1.1× 123 1.4× 64 0.8× 10 383
Roshan Patel 172 1.0× 73 0.6× 87 0.9× 73 0.8× 67 0.9× 9 339
Ngoc Le 108 0.6× 97 0.8× 177 1.7× 46 0.5× 46 0.6× 10 382
Somesh Mohapatra 130 0.7× 43 0.4× 162 1.6× 97 1.1× 62 0.8× 17 382
Daniel Salley 272 1.5× 157 1.3× 46 0.5× 40 0.4× 40 0.5× 9 444
Yunfan Xue 45 0.3× 115 0.9× 137 1.3× 36 0.4× 15 0.2× 17 381
Jiaxun Xie 140 0.8× 152 1.2× 59 0.6× 33 0.4× 35 0.5× 9 347
Jaeuk Sung 158 0.9× 72 0.6× 75 0.7× 87 1.0× 5 0.1× 11 367
Cheng Yang 146 0.8× 27 0.2× 270 2.6× 26 0.3× 14 0.2× 23 409
M. Mohsen Mahmoodi 81 0.5× 155 1.3× 162 1.6× 138 1.5× 5 0.1× 15 440

Countries citing papers authored by Matthew Tamasi

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Tamasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Tamasi

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