Matthew Kowal
- Electronic, Optical and Magnetic Materials top 5%
- Electrical and Electronic Engineering top 10%
- Materials Chemistry top 10%
- Biomedical Engineering top 10%
- Polymers and Plastics top 10%
- Co-authors
- Richard B. KanerMaher F. El‐KadyVolker StraußKris MarshJee Youn HwangMengping LiCheng‐Wei LinMackenzie Anderson
- Topics
- Supercapacitor Materials and Fabrication (9 papers)Graphene research and applications (8 papers)Advanced Neural Network Applications (7 papers)
- Cited by
- Electronic, Optical and Magnetic MaterialsPolymers and PlasticsElectrical and Electronic Engineering
- Partner nations
- United StatesCanadaEgypt
In The Last Decade
Matthew Kowal
27 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 75
- Electronic, Optical and Magnetic Materials 626
- Electrical and Electronic Engineering 573
- Materials Chemistry 386
- Biomedical Engineering 269
- Polymers and Plastics 213
Countries citing papers authored by Matthew Kowal
This map shows the geographic impact of Matthew Kowal'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 Kowal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Kowal more than expected).
Fields of papers citing papers by Matthew Kowal
This network shows the impact of papers produced by Matthew Kowal. 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 Kowal. The network helps show where Matthew Kowal may publish in the future.
Co-authorship network of co-authors of Matthew Kowal
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Kowal. A scholar is included among the top collaborators of Matthew Kowal 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 Kowal. Matthew Kowal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 13 | |
| 9 | 18 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 25 | |
| 13 | 45 | |
| 14 | 20 | |
| 15 | 338 | |
| 16 | 45 | |
| 17 | 131 | |
| 18 | 34 | |
| 19 | 30 | |
| 20 | 1 |
About Matthew Kowal
Matthew Kowal is a scholar working on Computer Vision and Pattern Recognition, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Supercapacitor Materials and Fabrication (9 papers), Graphene research and applications (8 papers) and Advanced Neural Network Applications (7 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (626 citations), Polymers and Plastics (213 citations) and Electrical and Electronic Engineering (573 citations). Matthew Kowal has collaborated with scholars based in United States, Canada and Egypt. Frequent co-authors include Richard B. Kaner, Maher F. El‐Kady, Volker Strauß, Kris Marsh, Jee Youn Hwang, Mengping Li, Cheng‐Wei Lin, Mackenzie Anderson, Xu Han and John Hedley. Their work appears in journals such as Advanced Materials, Nano Letters and ACS Nano.
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.