Mario Trejo-Perea
- Electrical and Electronic Engineering top 10%
- Energy Engineering and Power Technology top 0.5%
- Pollution top 5%
- Control and Systems Engineering top 5%
- Automotive Engineering top 5%
- Co-authors
- José Gabriel Ríos-MorenoD. Vargas-VázquezGilberto Herrera-RuízJuan Carlos Jáuregui-CorreaRodrigo Castañeda-MirandaVictor Manuel Hernández-GuzmánJosé M. Álvarez-AlvaradoEusebio Ventura-Ramos
- Topics
- Wind Energy Research and Development (7 papers)Energy Load and Power Forecasting (5 papers)Wind Turbine Control Systems (5 papers)
- Partner nations
- Mexico
In The Last Decade
Mario Trejo-Perea
26 papers receiving 832 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Electrical and Electronic Engineering 421
- Energy Engineering and Power Technology 383
- Pollution 260
- Control and Systems Engineering 252
- Automotive Engineering 133
Countries citing papers authored by Mario Trejo-Perea
This map shows the geographic impact of Mario Trejo-Perea'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 Mario Trejo-Perea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Trejo-Perea more than expected).
Fields of papers citing papers by Mario Trejo-Perea
This network shows the impact of papers produced by Mario Trejo-Perea. 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 Mario Trejo-Perea. The network helps show where Mario Trejo-Perea may publish in the future.
Co-authorship network of co-authors of Mario Trejo-Perea
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Trejo-Perea. A scholar is included among the top collaborators of Mario Trejo-Perea 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 Mario Trejo-Perea. Mario Trejo-Perea 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 | 1 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 68 | |
| 6 | 13 | |
| 7 | 12 | |
| 8 | 15 | |
| 9 | 26 | |
| 10 | 63 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 9 | |
| 15 | 2 | |
| 16 | 20 | |
| 17 | 2 | |
| 18 | Greenhouse energy consumption prediction using neural networks models | 55 |
| 19 | Contrast Enhancement and Illumination Changes Compensation | 3 |
| 20 | 2 |
About Mario Trejo-Perea
Mario Trejo-Perea is a scholar working on Energy Engineering and Power Technology, Aerospace Engineering and Environmental Engineering, having authored 27 papers that have together received 873 indexed citations. Recurring topics across this work include Wind Energy Research and Development (7 papers), Energy Load and Power Forecasting (5 papers) and Wind Turbine Control Systems (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (383 citations), Pollution (260 citations) and Automotive Engineering (133 citations). Mario Trejo-Perea has collaborated with scholars based in Mexico. Frequent co-authors include José Gabriel Ríos-Moreno, D. Vargas-Vázquez, Gilberto Herrera-Ruíz, Juan Carlos Jáuregui-Correa, Rodrigo Castañeda-Miranda, Victor Manuel Hernández-Guzmán, José M. Álvarez-Alvarado, Eusebio Ventura-Ramos, Roberto V. Carrillo‐Serrano and Edgar A. Rivas-Araiza. Their work appears in journals such as Scientific Reports, IEEE Access and Solar 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.