John Timler
Impact in
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- Quantum-Dot Cellular Automata
- Cellular Automata and Applications
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- GaN-based semiconductor devices and materials
Papers in
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- Quantum-Dot Cellular Automata 9
- Cellular Automata and Applications 2
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- Advanced Thermodynamics and Statistical Mechanics 1
- Co-authors
- Craig S. Lent (8 shared papers)Alexei O. Orlov (4 shared papers)Gregory L. Snider (4 shared papers)Gary H. Bernstein (3 shared papers)Géza Tóth (3 shared papers)Ravi K. Kummamuru (2 shared papers)Rajagopal Ramasubramaniam (2 shared papers)Ning Su (1 shared paper)
- Journals
- Applied Physics Letters (2 papers)Journal of Applied Physics (2 papers)Nanotechnology (1 paper)PhDT (1 paper)IEEE Conference on Nanotechnology (IEEE NANO) (1 paper)
- Partner nations
- United StatesHungary
In The Last Decade
John Timler
8 papers receiving 628 citations
Peers
Comparison fields: 5 of 19
- Computational Theory and Mathematics 550
- Condensed Matter Physics 40
- Electrical and Electronic Engineering 71
- Atomic and Molecular Physics, and Optics 38
- Statistical and Nonlinear Physics 11
Countries citing papers authored by John Timler
This map shows the geographic impact of John Timler'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 John Timler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Timler more than expected).
Fields of papers citing papers by John Timler
This network shows the impact of papers produced by John Timler. 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 John Timler. The network helps show where John Timler may publish in the future.
Co-authors
The 12 scholars most cited alongside John Timler, 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 | 2002 | 375 | |
| 2 | 2003 | 108 | |
| 3 | 2002 | 81 | |
| 4 | 2007 | 49 | |
| 5 | 2007 | 32 | |
| 6 | 2002 | 4 | |
| 7 | Energy dissipation and power gain in quantum-dot cellular automata | 2003 | 2 |
| 8 | 2002 | 1 | |
| 9 | 2002 | 1 | |
| 10 | 2004 | 0 |
About John Timler
John Timler is a scholar working on Computational Theory and Mathematics, Statistical and Nonlinear Physics, Condensed Matter Physics, Artificial Intelligence and Nuclear Energy and Engineering, having authored 10 papers that have together received 653 indexed citations. Recurring topics across this work include Quantum-Dot Cellular Automata (9 papers), Cellular Automata and Applications (2 papers), Quantum Computing Algorithms and Architecture (1 paper), Advanced Thermodynamics and Statistical Mechanics (1 paper) and GaN-based semiconductor devices and materials (1 paper). The work is most often cited by research in Computational Theory and Mathematics (550 citations), Condensed Matter Physics (40 citations), Electrical and Electronic Engineering (71 citations), Atomic and Molecular Physics, and Optics (38 citations) and Statistical and Nonlinear Physics (11 citations). John Timler has collaborated with scholars based in United States and Hungary. Frequent co-authors include Craig S. Lent, Alexei O. Orlov, Gregory L. Snider, Gary H. Bernstein, Géza Tóth, Ravi K. Kummamuru, Rajagopal Ramasubramaniam, Ning Su, Chuanxin Lian and Kejia Wang. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics, Nanotechnology, PhDT and IEEE Conference on Nanotechnology (IEEE 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.