Matthew Lave
- Artificial Intelligence top 1%
- Renewable Energy, Sustainability and the Environment top 2%
- Electrical and Electronic Engineering top 5%
- Control and Systems Engineering top 5%
- Global and Planetary Change top 10%
- Co-authors
- Jan KleisslEry Arias-CastroMatthew J. RenoJoshua S. SteinB. WashomChi‐Wai ChowAnthony DominguezB. Urquhart
- Topics
- Solar Radiation and Photovoltaics (26 papers)Photovoltaic System Optimization Techniques (24 papers)Solar Thermal and Photovoltaic Systems (20 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentArtificial IntelligenceEnergy Engineering and Power Technology
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessRenewable Energy
- Partner nations
- United StatesPuerto RicoSpain
In The Last Decade
Matthew Lave
48 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 1.3k
- Renewable Energy, Sustainability and the Environment 1.1k
- Electrical and Electronic Engineering 917
- Control and Systems Engineering 310
- Global and Planetary Change 163
Countries citing papers authored by Matthew Lave
This map shows the geographic impact of Matthew Lave'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 Matthew Lave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Lave more than expected).
Fields of papers citing papers by Matthew Lave
This network shows the impact of papers produced by Matthew Lave. 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 Matthew Lave. The network helps show where Matthew Lave may publish in the future.
Co-authorship network of co-authors of Matthew Lave
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Lave. A scholar is included among the top collaborators of Matthew Lave 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 Matthew Lave. Matthew Lave is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 30 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 0 | |
| 8 | 37 | |
| 9 | 1 | |
| 10 | 15 | |
| 11 | 5 | |
| 12 | 22 | |
| 13 | 29 | |
| 14 | 27 | |
| 15 | 2 | |
| 16 | 60 | |
| 17 | 4 | |
| 18 | Simulating Solar Power Plant Variability: A Review of Current Methods | 8 |
| 19 | 11 | |
| 20 | 151 |
About Matthew Lave
Matthew Lave is a scholar working on Energy Engineering and Power Technology, Renewable Energy, Sustainability and the Environment and Artificial Intelligence, having authored 50 papers that have together received 2.0k indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (26 papers), Photovoltaic System Optimization Techniques (24 papers) and Solar Thermal and Photovoltaic Systems (20 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (1.1k citations), Artificial Intelligence (1.3k citations) and Energy Engineering and Power Technology (96 citations). Matthew Lave has collaborated with scholars based in United States, Puerto Rico and Spain. Frequent co-authors include Jan Kleissl, Ery Arias-Castro, Matthew J. Reno, Joshua S. Stein, B. Washom, Chi‐Wai Chow, Anthony Dominguez, B. Urquhart, Janet E. Shields and Robert Broderick. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Renewable Energy.
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.