Kevin Ellis
- Renewable Energy, Sustainability and the Environment top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Control and Systems Engineering
- Environmental Engineering
- Co-authors
- Fernando Mancilla–DavidEduard MuljadiPeter E. JenkinsHongmei TianJ. GillJ. WardFrank MaiwaldImran Mehdi
- Topics
- solar cell performance optimization (3 papers)Power Transformer Diagnostics and Insulation (2 papers)High voltage insulation and dielectric phenomena (2 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentEnergy Engineering and Power TechnologyArtificial Intelligence
- Journals
- Solar EnergyIEEE Transactions on Power DeliveryUniversity of North Texas Digital Library (University of North Texas)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Kevin Ellis
5 papers receiving 371 citations
Peers
Comparison fields: 5 of 30
- Renewable Energy, Sustainability and the Environment 317
- Electrical and Electronic Engineering 241
- Artificial Intelligence 174
- Control and Systems Engineering 49
- Environmental Engineering 28
Countries citing papers authored by Kevin Ellis
This map shows the geographic impact of Kevin 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 Kevin Ellis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Ellis more than expected).
Fields of papers citing papers by Kevin Ellis
This network shows the impact of papers produced by Kevin 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 Kevin Ellis. The network helps show where Kevin Ellis may publish in the future.
Co-authorship network of co-authors of Kevin Ellis
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Ellis. A scholar is included among the top collaborators of Kevin 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 Kevin Ellis. Kevin 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 | 49 | |
| 2 | Detailed Performance Model for Photovoltaic Systems: Preprint | 8 |
| 3 | 309 | |
| 4 | 15 | |
| 5 | 1 | |
| 6 | 4 |
About Kevin Ellis
Kevin Ellis is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering and Environmental Engineering, having authored 6 papers that have together received 386 indexed citations. Recurring topics across this work include solar cell performance optimization (3 papers), Power Transformer Diagnostics and Insulation (2 papers) and High voltage insulation and dielectric phenomena (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (317 citations), Energy Engineering and Power Technology (28 citations) and Artificial Intelligence (174 citations). Kevin Ellis has collaborated with scholars based in United States, China and France. Frequent co-authors include Fernando Mancilla–David, Eduard Muljadi, Peter E. Jenkins, Hongmei Tian, J. Gill, J. Ward, Frank Maiwald, Imran Mehdi, A. Maestrini and Phillip P. Jenkins. Their work appears in journals such as Solar Energy, IEEE Transactions on Power Delivery and University of North Texas Digital Library (University of North Texas).
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.