David Liptak
Impact in
- Materials Chemistry top 10%
- Carbon Nanotubes in Composites
- Graphene research and applications
- MXene and MAX Phase Materials
- Diamond and Carbon-based Materials Research
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- Advanced ceramic materials synthesis
Papers in
-
- Graphene research and applications 2
- ZnO doping and properties 2
- Electronic and Structural Properties of Oxides 2
- Catalytic Processes in Materials Science 2
- Carbon Nanotubes in Composites 2
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- Ferroelectric and Negative Capacitance Devices 1
- Co-authors
- Rahul Rao (2 shared papers)Benji Maruyama (2 shared papers)Boris I. Yakobson (1 shared paper)Tonya Cherukuri (1 shared paper)Mäher S. Amer (2 shared papers)T. El‐Raghy (1 shared paper)Ittay Weiss (1 shared paper)S. Leclair (1 shared paper)
- Journals
- Engineering Applications of Artificial Intelligence (2 papers)Journal of Applied Physics (2 papers)Physica C Superconductivity (1 paper)ACS Nano (1 paper)Organometallics (1 paper)
- Partner nations
- United States
In The Last Decade
David Liptak
14 papers receiving 467 citations
Peers
Comparison fields: 5 of 48
- Materials Chemistry 374
- Ceramics and Composites 44
- Structural Biology 4
- Mechanics of Materials 65
- Mechanical Engineering 86
Countries citing papers authored by David Liptak
This map shows the geographic impact of David Liptak'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 Liptak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Liptak more than expected).
Fields of papers citing papers by David Liptak
This network shows the impact of papers produced by David Liptak. 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 Liptak. The network helps show where David Liptak may publish in the future.
Co-authors
The 25 scholars most cited alongside David Liptak, 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 | 2012 | 195 | |
| 2 | 1998 | 132 | |
| 3 | 2013 | 54 | |
| 4 | 1982 | 22 | |
| 5 | 2008 | 20 | |
| 6 | 1998 | 11 | |
| 7 | 2007 | 10 | |
| 8 | 1980 | 10 | |
| 9 | 1998 | 10 | |
| 10 | 1998 | 4 | |
| 11 | 1997 | 4 | |
| 12 | 1993 | 2 | |
| 13 | 1997 | 1 | |
| 14 | 1997 | 1 |
About David Liptak
David Liptak is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Organic Chemistry and Mechanics of Materials, having authored 14 papers that have together received 476 indexed citations. Recurring topics across this work include Graphene research and applications (2 papers), Laser-induced spectroscopy and plasma (2 papers), ZnO doping and properties (2 papers), Electronic and Structural Properties of Oxides (2 papers), Catalytic Processes in Materials Science (2 papers), Advanced ceramic materials synthesis (2 papers), Carbon Nanotubes in Composites (2 papers) and Ferroelectric and Negative Capacitance Devices (1 paper). The work is most often cited by research in Materials Chemistry (374 citations), Ceramics and Composites (44 citations), Structural Biology (4 citations), Mechanics of Materials (65 citations) and Mechanical Engineering (86 citations). David Liptak has collaborated with scholars based in United States. Frequent co-authors include Rahul Rao, Benji Maruyama, Boris I. Yakobson, Tonya Cherukuri, Mäher S. Amer, T. El‐Raghy, Ittay Weiss, S. Leclair, Michel W. Barsoum and John P. Oliver. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Journal of Applied Physics, Physica C Superconductivity, ACS Nano and Organometallics.
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.