Dana Wheeler
- Electrical and Electronic Engineering top 5%
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 10%
- Polymers and Plastics
- Artificial Intelligence
- Co-authors
- Siddharth GabaT. HussainWei LüJose Cruz-AlbrechtNarayan SrinivasaSergiy ShyloD. C. HallClaes Thelander
- Topics
- Semiconductor materials and interfaces (3 papers)Advanced Memory and Neural Computing (3 papers)Neuroscience and Neural Engineering (3 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringCognitive Neuroscience
- Journals
- Nano LettersFigshareProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
- Partner nations
- United StatesUkraineSweden
In The Last Decade
Dana Wheeler
8 papers receiving 730 citations
Hit Papers
Peers
Comparison fields: 5 of 35
- Electrical and Electronic Engineering 730
- Cellular and Molecular Neuroscience 372
- Cognitive Neuroscience 138
- Polymers and Plastics 90
- Artificial Intelligence 79
Countries citing papers authored by Dana Wheeler
This map shows the geographic impact of Dana Wheeler'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 Dana Wheeler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana Wheeler more than expected).
Fields of papers citing papers by Dana Wheeler
This network shows the impact of papers produced by Dana Wheeler. 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 Dana Wheeler. The network helps show where Dana Wheeler may publish in the future.
Co-authorship network of co-authors of Dana Wheeler
This figure shows the co-authorship network connecting the top 25 collaborators of Dana Wheeler. A scholar is included among the top collaborators of Dana Wheeler 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 Dana Wheeler. Dana Wheeler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | A Functional Hybrid Memristor Crossbar-Array/CMOS System for Data Storage and Neuromorphic Applicationsbreakdown → | 727 |
| 8 | 4 | |
| 9 | 5 |
About Dana Wheeler
Dana Wheeler is a scholar working on Cellular and Molecular Neuroscience, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 9 papers that have together received 751 indexed citations. Recurring topics across this work include Semiconductor materials and interfaces (3 papers), Advanced Memory and Neural Computing (3 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (372 citations), Electrical and Electronic Engineering (730 citations) and Cognitive Neuroscience (138 citations). Dana Wheeler has collaborated with scholars based in United States, Ukraine and Sweden. Frequent co-authors include Siddharth Gaba, T. Hussain, Wei Lü, Jose Cruz-Albrecht, Narayan Srinivasa, Sergiy Shylo, D. C. Hall, Claes Thelander, Lars‐Erik Wernersson and Linus Fröberg. Their work appears in journals such as Nano Letters, Figshare and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.