Diego Pinheiro
Impact in
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- COVID-19 epidemiological studies
Papers in
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- Evolutionary Game Theory and Cooperation 2
- Co-authors
- Ronaldo Menezes (8 shared papers)Miriam Nuño (4 shared papers)Carmelo J. A. Bastos-Filho (7 shared papers)Martín Cadeiras (6 shared papers)Mariana Macedo (3 shared papers)Marcos Oliveira (4 shared papers)Ganesh Rajasekar (1 shared paper)Michael D. Murphy (1 shared paper)
- Journals
- Journal of Medical Internet Research (2 papers)Life (1 paper)Crime Science (1 paper)Applied Network Science (1 paper)Diseases of the Esophagus (1 paper)
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
Diego Pinheiro
19 papers receiving 88 citations
Peers
Comparison fields: 5 of 51
- Transplantation 4
- Modeling and Simulation 5
- Artificial Intelligence 21
- Computational Theory and Mathematics 10
- Public Health, Environmental and Occupational Health 15
Countries citing papers authored by Diego Pinheiro
This map shows the geographic impact of Diego Pinheiro'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 Diego Pinheiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Pinheiro more than expected).
Fields of papers citing papers by Diego Pinheiro
This network shows the impact of papers produced by Diego Pinheiro. 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 Diego Pinheiro. The network helps show where Diego Pinheiro may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Pinheiro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 14 | |
| 2 | 2019 | 13 | |
| 3 | 2020 | 11 | |
| 4 | 2017 | 8 | |
| 5 | 2020 | 7 | |
| 6 | 2022 | 7 | |
| 7 | 2016 | 6 | |
| 8 | 2017 | 5 | |
| 9 | 2016 | 4 | |
| 10 | 2017 | 4 | |
| 11 | 2018 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2013 | 0 |
About Diego Pinheiro
Diego Pinheiro is a scholar working on Sociology and Political Science, Artificial Intelligence, Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Surgery, having authored 24 papers that have together received 91 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (3 papers), Evolutionary Game Theory and Cooperation (2 papers), Opinion Dynamics and Social Influence (2 papers), Organ Donation and Transplantation (2 papers), Organ Transplantation Techniques and Outcomes (1 paper), Banking stability, regulation, efficiency (1 paper), Brain Tumor Detection and Classification (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Transplantation (4 citations), Modeling and Simulation (5 citations), Artificial Intelligence (21 citations), Computational Theory and Mathematics (10 citations) and Public Health, Environmental and Occupational Health (15 citations). Diego Pinheiro has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Ronaldo Menezes, Miriam Nuño, Carmelo J. A. Bastos-Filho, Martín Cadeiras, Mariana Macedo, Marcos Oliveira, Ganesh Rajasekar, Michael D. Murphy, Rahul Iyengar and Eraldo Ribeiro. Their work appears in journals such as Journal of Medical Internet Research, Life, Crime Science, Applied Network Science and Diseases of the Esophagus.
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.