Matthew Welborn
- Materials Chemistry top 5%
- Electrical and Electronic Engineering top 5%
- Atomic and Molecular Physics, and Optics top 5%
- Molecular Biology
- Organic Chemistry top 10%
- Co-authors
- Troy Van VoorhisThomas F. MillerLixue ChengMarc A. BaldoVladimir BulovićMengfei WuNadav GevaDaniel N. Congreve
- Topics
- Machine Learning in Materials Science (11 papers)Advanced Chemical Physics Studies (8 papers)Spectroscopy and Quantum Chemical Studies (5 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersThe Journal of Chemical Physics
- Partner nations
- United StatesUnited KingdomIceland
In The Last Decade
Matthew Welborn
40 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Materials Chemistry 1.1k
- Electrical and Electronic Engineering 934
- Atomic and Molecular Physics, and Optics 496
- Molecular Biology 400
- Organic Chemistry 287
Countries citing papers authored by Matthew Welborn
This map shows the geographic impact of Matthew Welborn'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 Welborn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Welborn more than expected).
Fields of papers citing papers by Matthew Welborn
This network shows the impact of papers produced by Matthew Welborn. 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 Welborn. The network helps show where Matthew Welborn may publish in the future.
Co-authorship network of co-authors of Matthew Welborn
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Welborn. A scholar is included among the top collaborators of Matthew Welborn 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 Welborn. Matthew Welborn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 28 | |
| 3 | 1 | |
| 4 | 58 | |
| 5 | 10 | |
| 6 | 111 | |
| 7 | 46 | |
| 8 | 36 | |
| 9 | 152 | |
| 10 | 20 | |
| 11 | 26 | |
| 12 | 255 | |
| 13 | Solid-state infrared-to-visible upconversion sensitized by colloidal nanocrystalsbreakdown → | 457 |
| 14 | Energy harvesting of non-emissive triplet excitons in tetracene by emissive PbS nanocrystalsbreakdown → | 229 |
| 15 | 56 | |
| 16 | 7 | |
| 17 | 9 | |
| 18 | 16 | |
| 19 | 18 | |
| 20 | 3 |
About Matthew Welborn
Matthew Welborn is a scholar working on Process Chemistry and Technology, Physical and Theoretical Chemistry and Catalysis, having authored 40 papers that have together received 2.4k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (11 papers), Advanced Chemical Physics Studies (8 papers) and Spectroscopy and Quantum Chemical Studies (5 papers). The work is most often cited by research in Process Chemistry and Technology (76 citations), Materials Chemistry (1.1k citations) and Catalysis (150 citations). Matthew Welborn has collaborated with scholars based in United States, United Kingdom and Iceland. Frequent co-authors include Troy Van Voorhis, Thomas F. Miller, Lixue Cheng, Marc A. Baldo, Vladimir Bulović, Mengfei Wu, Nadav Geva, Daniel N. Congreve, Mark W. B. Wilson and Moungi G. Bawendi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.
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.