Renier Mendoza
- Modeling and Simulation top 5%
- Artificial Intelligence
- Infectious Diseases
- Numerical Analysis
- Electrical and Electronic Engineering
- Co-authors
- Victoria MendozaIkha MagdalenaEunok JungIstván MezőYu Bin SeoJacob LeeMarion DarbasStephen L. Keeling
- Topics
- COVID-19 epidemiological studies (11 papers)SARS-CoV-2 and COVID-19 Research (7 papers)Electrical and Bioimpedance Tomography (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access
- Partner nations
- PhilippinesSouth KoreaIndonesia
In The Last Decade
Renier Mendoza
29 papers receiving 146 citations
Peers
Comparison fields: 5 of 64
- Modeling and Simulation 55
- Artificial Intelligence 26
- Infectious Diseases 26
- Numerical Analysis 18
- Electrical and Electronic Engineering 16
Countries citing papers authored by Renier Mendoza
This map shows the geographic impact of Renier Mendoza'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 Renier Mendoza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renier Mendoza more than expected).
Fields of papers citing papers by Renier Mendoza
This network shows the impact of papers produced by Renier Mendoza. 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 Renier Mendoza. The network helps show where Renier Mendoza may publish in the future.
Co-authorship network of co-authors of Renier Mendoza
This figure shows the co-authorship network connecting the top 25 collaborators of Renier Mendoza. A scholar is included among the top collaborators of Renier Mendoza 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 Renier Mendoza. Renier Mendoza 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 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 11 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 4 | |
| 15 | 12 | |
| 16 | 11 | |
| 17 | 8 | |
| 18 | 4 | |
| 19 | 0 | |
| 20 | Reconstructing images in electrical impedance tomography using hybrid genetic algorithms | 3 |
About Renier Mendoza
Renier Mendoza is a scholar working on Modeling and Simulation, Infectious Diseases and Numerical Analysis, having authored 31 papers that have together received 155 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (11 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Electrical and Bioimpedance Tomography (5 papers). The work is most often cited by research in Modeling and Simulation (55 citations), Numerical Analysis (18 citations) and Earth-Surface Processes (14 citations). Renier Mendoza has collaborated with scholars based in Philippines, South Korea and Indonesia. Frequent co-authors include Victoria Mendoza, Ikha Magdalena, Eunok Jung, István Mező, Yu Bin Seo, Jacob Lee, Marion Darbas, Stephen L. Keeling, Vicente Y. Belizario and Jonggul Lee. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.