Sebastián Gutiérrez
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Renewable Energy, Sustainability and the Environment
- Biomedical Engineering
- Co-authors
- Hiram PöncePedro M. RodrigoRamiro VelázquezJorge BrievaLourdes Martínez-VillaseñorManuel CardonaErnesto Moya-AlborFrancisco Rodríguez
- Topics
- IoT-based Smart Home Systems (10 papers)Water Quality Monitoring Technologies (8 papers)IoT and Edge/Fog Computing (7 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentComputer Vision and Pattern RecognitionArtificial Intelligence
- Partner nations
- MexicoSpainEl Salvador
In The Last Decade
Sebastián Gutiérrez
55 papers receiving 592 citations
Peers
Comparison fields: 5 of 106
- Electrical and Electronic Engineering 202
- Artificial Intelligence 123
- Computer Vision and Pattern Recognition 102
- Renewable Energy, Sustainability and the Environment 88
- Biomedical Engineering 83
Countries citing papers authored by Sebastián Gutiérrez
This map shows the geographic impact of Sebastián Gutiérrez'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 Sebastián Gutiérrez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastián Gutiérrez more than expected).
Fields of papers citing papers by Sebastián Gutiérrez
This network shows the impact of papers produced by Sebastián Gutiérrez. 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 Sebastián Gutiérrez. The network helps show where Sebastián Gutiérrez may publish in the future.
Co-authorship network of co-authors of Sebastián Gutiérrez
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastián Gutiérrez. A scholar is included among the top collaborators of Sebastián Gutiérrez 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 Sebastián Gutiérrez. Sebastián Gutiérrez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 13 | |
| 5 | 0 | |
| 6 | 13 | |
| 7 | 5 | |
| 8 | 24 | |
| 9 | 19 | |
| 10 | 96 | |
| 11 | 22 | |
| 12 | 5 | |
| 13 | 20 | |
| 14 | 39 | |
| 15 | 12 | |
| 16 | 4 | |
| 17 | 3 | |
| 18 | 8 | |
| 19 | 0 | |
| 20 | 6 |
About Sebastián Gutiérrez
Sebastián Gutiérrez is a scholar working on Water Science and Technology, Computer Science Applications and Computer Networks and Communications, having authored 59 papers that have together received 624 indexed citations. Recurring topics across this work include IoT-based Smart Home Systems (10 papers), Water Quality Monitoring Technologies (8 papers) and IoT and Edge/Fog Computing (7 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (88 citations), Computer Vision and Pattern Recognition (102 citations) and Artificial Intelligence (123 citations). Sebastián Gutiérrez has collaborated with scholars based in Mexico, Spain and El Salvador. Frequent co-authors include Hiram Pönce, Pedro M. Rodrigo, Ramiro Velázquez, Jorge Brieva, Lourdes Martínez-Villaseñor, Manuel Cardona, Ernesto Moya-Albor, Francisco Rodríguez, Florencia Almonacid and Federico Martín Ibáñez. Their work appears in journals such as SHILAP Revista de lepidopterología, Energy and Sensors.
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.