Ramon Gomes da Silva
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Modeling and Simulation top 1%
- Management Science and Operations Research top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Leandro dos Santos CoelhoViviana Cocco MarianiMatheus Henrique Dal Molin RibeiroSinvaldo Rodrigues MorenoGabriel Trierweiler RibeiroStéfano Frizzo StefenonAndré Sales Mendes
- Topics
- Energy Load and Power Forecasting (11 papers)Grey System Theory Applications (6 papers)Power Systems and Renewable Energy (3 papers)
- Partner nations
- BrazilItalyUnited States
In The Last Decade
Ramon Gomes da Silva
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 102
- Electrical and Electronic Engineering 505
- Artificial Intelligence 348
- Modeling and Simulation 258
- Management Science and Operations Research 205
- Radiology, Nuclear Medicine and Imaging 195
Countries citing papers authored by Ramon Gomes da Silva
This map shows the geographic impact of Ramon Gomes da Silva'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 Ramon Gomes da Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramon Gomes da Silva more than expected).
Fields of papers citing papers by Ramon Gomes da Silva
This network shows the impact of papers produced by Ramon Gomes da Silva. 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 Ramon Gomes da Silva. The network helps show where Ramon Gomes da Silva may publish in the future.
Co-authorship network of co-authors of Ramon Gomes da Silva
This figure shows the co-authorship network connecting the top 25 collaborators of Ramon Gomes da Silva. A scholar is included among the top collaborators of Ramon Gomes da Silva 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 Ramon Gomes da Silva. Ramon Gomes da Silva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 58 | |
| 5 | 44 | |
| 6 | 77 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 121 | |
| 10 | 182 | |
| 11 | 337 | |
| 12 | 93 | |
| 13 | 14 | |
| 14 | 150 | |
| 15 | 9 | |
| 16 | 18 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 1 |
About Ramon Gomes da Silva
Ramon Gomes da Silva is a scholar working on Energy Engineering and Power Technology, Management Science and Operations Research and Modeling and Simulation, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (11 papers), Grey System Theory Applications (6 papers) and Power Systems and Renewable Energy (3 papers). The work is most often cited by research in Modeling and Simulation (258 citations), Management Science and Operations Research (205 citations) and Health Informatics (22 citations). Ramon Gomes da Silva has collaborated with scholars based in Brazil, Italy and United States. Frequent co-authors include Leandro dos Santos Coelho, Viviana Cocco Mariani, Matheus Henrique Dal Molin Ribeiro, Sinvaldo Rodrigues Moreno, Gabriel Trierweiler Ribeiro, Stéfano Frizzo Stefenon and André Sales Mendes. Their work appears in journals such as Energy Conversion and Management, 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.