Jason K. Ellis
- Materials Chemistry top 10%
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics top 10%
- Renewable Energy, Sustainability and the Environment
- Biomedical Engineering
- Co-authors
- Gustavo E. ScuseriaMelissa J. LuceroThomas M. HendersonCarlos A. Jiménez-HoyosLaimutis BytautasRichard L. MartinXiaodong WenJustin R. Walensky
- Topics
- High-pressure geophysics and materials (2 papers)Radiomics and Machine Learning in Medical Imaging (1 paper)Physics of Superconductivity and Magnetism (1 paper)
- Cited by
- Materials ChemistryAtomic and Molecular Physics, and OpticsElectrical and Electronic Engineering
- Partner nations
- United StatesGermany
In The Last Decade
Jason K. Ellis
6 papers receiving 655 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Materials Chemistry 499
- Electrical and Electronic Engineering 227
- Atomic and Molecular Physics, and Optics 169
- Renewable Energy, Sustainability and the Environment 53
- Biomedical Engineering 52
Countries citing papers authored by Jason K. Ellis
This map shows the geographic impact of Jason K. Ellis'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 Jason K. Ellis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason K. Ellis more than expected).
Fields of papers citing papers by Jason K. Ellis
This network shows the impact of papers produced by Jason K. Ellis. 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 Jason K. Ellis. The network helps show where Jason K. Ellis may publish in the future.
Co-authorship network of co-authors of Jason K. Ellis
This figure shows the co-authorship network connecting the top 25 collaborators of Jason K. Ellis. A scholar is included among the top collaborators of Jason K. Ellis 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 Jason K. Ellis. Jason K. Ellis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 35 | |
| 3 | 11 | |
| 4 | The indirect to direct band gap transition in multilayered MoS2 as predicted by screened hybrid density functional theorybreakdown → | 470 |
| 5 | 8 | |
| 6 | 122 |
About Jason K. Ellis
Jason K. Ellis is a scholar working on Condensed Matter Physics, Geophysics and Catalysis, having authored 6 papers that have together received 660 indexed citations. Recurring topics across this work include High-pressure geophysics and materials (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Physics of Superconductivity and Magnetism (1 paper). The work is most often cited by research in Materials Chemistry (499 citations), Atomic and Molecular Physics, and Optics (169 citations) and Electrical and Electronic Engineering (227 citations). Jason K. Ellis has collaborated with scholars based in United States and Germany. Frequent co-authors include Gustavo E. Scuseria, Melissa J. Lucero, Thomas M. Henderson, Carlos A. Jiménez-Hoyos, Laimutis Bytautas, Richard L. Martin, Xiaodong Wen, Justin R. Walensky, Gregory L. Wagner and Andrew D. Sutton. Their work appears in journals such as The Journal of Chemical Physics, Applied Physics Letters and Analytical Chemistry.
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.