David Guzman
Impact in
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
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- 2D Materials and Applications
- MXene and MAX Phase Materials
- Graphene research and applications
Papers in
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- Advanced Memory and Neural Computing 3
- Chalcogenide Semiconductor Thin Films 2
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- 2D Materials and Applications 3
- MXene and MAX Phase Materials 2
- Graphene research and applications 2
- Co-authors
- Alejandro Strachan (7 shared papers)Nicolas Onofrio (5 shared papers)Alan Seabaugh (1 shared paper)Md Mahbubul Islam (1 shared paper)Susan K. Fullerton‐Shirey (1 shared paper)Ke Xu (1 shared paper)Benjamin A. Helfrecht (1 shared paper)
- Journals
- Journal of Applied Physics (2 papers)Physical Review Materials (2 papers)Nanoscale (1 paper)ACS Applied Materials & Interfaces (1 paper)Nature Materials (1 paper)
- Partner nations
- United StatesHong Kong
In The Last Decade
David Guzman
7 papers receiving 340 citations
Peers
Comparison fields: 5 of 34
- Electrical and Electronic Engineering 270
- Materials Chemistry 171
- Polymers and Plastics 46
- Cellular and Molecular Neuroscience 52
- Electrochemistry 13
Countries citing papers authored by David Guzman
This map shows the geographic impact of David Guzman'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 David Guzman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Guzman more than expected).
Fields of papers citing papers by David Guzman
This network shows the impact of papers produced by David Guzman. 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 David Guzman. The network helps show where David Guzman may publish in the future.
Co-authors
The 7 scholars most cited alongside David Guzman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 165 | |
| 2 | 2017 | 67 | |
| 3 | 2018 | 38 | |
| 4 | 2017 | 29 | |
| 5 | 2016 | 21 | |
| 6 | 2017 | 15 | |
| 7 | 2017 | 8 |
About David Guzman
David Guzman is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Electrochemistry, Renewable Energy, Sustainability and the Environment and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 343 indexed citations. Recurring topics across this work include 2D Materials and Applications (3 papers), Electrochemical Analysis and Applications (3 papers), Advanced Memory and Neural Computing (3 papers), Chalcogenide Semiconductor Thin Films (2 papers), MXene and MAX Phase Materials (2 papers), Graphene research and applications (2 papers), Neuroscience and Neural Engineering (1 paper) and Advanced Photocatalysis Techniques (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (270 citations), Materials Chemistry (171 citations), Polymers and Plastics (46 citations), Cellular and Molecular Neuroscience (52 citations) and Electrochemistry (13 citations). David Guzman has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include Alejandro Strachan, Nicolas Onofrio, Alan Seabaugh, Md Mahbubul Islam, Susan K. Fullerton‐Shirey, Ke Xu and Benjamin A. Helfrecht. Their work appears in journals such as Journal of Applied Physics, Physical Review Materials, Nanoscale, ACS Applied Materials & Interfaces and Nature Materials.
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.