Diego Pinheiro

532 total citations
22 papers, 86 citations indexed

About

Diego Pinheiro is a scholar working on General Health Professions, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Diego Pinheiro has authored 22 papers receiving a total of 86 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in General Health Professions, 5 papers in Sociology and Political Science and 4 papers in Artificial Intelligence. Recurrent topics in Diego Pinheiro's work include Complex Network Analysis Techniques (3 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Organ Donation and Transplantation (2 papers). Diego Pinheiro is often cited by papers focused on Complex Network Analysis Techniques (3 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Organ Donation and Transplantation (2 papers). Diego Pinheiro collaborates with scholars based in Brazil, United States and United Kingdom. Diego Pinheiro's co-authors include Ronaldo Menezes, Martín Cadeiras, Miriam Nuño, Marcos Oliveira, Carmelo J. A. Bastos-Filho, Mariana Macedo, Ganesh Rajasekar, Michael D. Murphy, Thomas A. Reichert and Fernando Buarque de Lima Neto and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of Medical Internet Research.

In The Last Decade

Diego Pinheiro

17 papers receiving 83 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Diego Pinheiro Brazil 7 23 16 13 12 11 22 86
Andrew Goldstein United States 9 42 1.8× 21 1.3× 13 1.0× 5 0.4× 10 0.9× 20 230
Phillips Owen United States 6 18 0.8× 20 1.3× 25 1.9× 8 0.7× 6 0.5× 13 181
Oloruntoba Babawarun United States 11 17 0.7× 29 1.8× 25 1.9× 3 0.3× 15 1.4× 14 239
Omar Temsah Saudi Arabia 3 38 1.7× 17 1.1× 17 1.3× 8 0.7× 6 0.5× 5 178
Valentin Goutaudier France 5 6 0.3× 21 1.3× 11 0.8× 23 1.9× 11 1.0× 6 150
Omar Salman United Kingdom 8 6 0.3× 18 1.1× 15 1.2× 6 0.5× 9 0.8× 15 116
Fernando Florenzano Chile 7 14 0.6× 24 1.5× 11 0.8× 7 0.6× 3 0.3× 15 111
Louis Henry Kamulegeya Uganda 4 15 0.7× 24 1.5× 29 2.2× 3 0.3× 6 0.5× 8 108
Aude Richard Switzerland 4 4 0.2× 6 0.4× 12 0.9× 4 0.3× 5 0.5× 12 101
Abdullah Al Zahrani Saudi Arabia 7 6 0.3× 7 0.4× 23 1.8× 19 1.6× 7 0.6× 19 157

Countries citing papers authored by Diego Pinheiro

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Diego Pinheiro

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Pinheiro. A scholar is included among the top collaborators of Diego Pinheiro 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 Diego Pinheiro. Diego Pinheiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
4.
Pinheiro, Diego, et al.. (2024). Towards the Identification of Money Laundering in Bank Transactions using Recurrent Neural Networks. VU Research Portal. 1–5. 1 indexed citations
6.
7.
Rocha, Paulo, et al.. (2023). Regularizing Neural Networks with Noise Injection for Classification of Brain Tumor in Magnetic Resonance Imaging. VU Research Portal. 15. 1–6. 1 indexed citations
8.
Pinheiro, Diego, et al.. (2023). Forecasting Imminent Failures in Electrical Industrial Centrifuge using Machine Learning. 1–6. 1 indexed citations
9.
Pinheiro, Diego, Carmelo J. A. Bastos-Filho, Ricardo de Carvalho Lima, et al.. (2022). The Association of Shared Care Networks With 30-Day Heart Failure Excessive Hospital Readmissions: Longitudinal Observational Study. SHILAP Revista de lepidopterología. 3(2). e30777–e30777. 2 indexed citations
11.
Nuño, Miriam, et al.. (2021). COVID-19 hospitalizations in five California hospitals: a retrospective cohort study. BMC Infectious Diseases. 21(1). 938–938. 13 indexed citations
12.
Macedo, Mariana, et al.. (2021). Fishing for interactions. Proceedings of the Genetic and Evolutionary Computation Conference. 40–48. 1 indexed citations
13.
Tabak, Esteban G., Diego Pinheiro, José Tallaj, et al.. (2020). Rejection-associated Mitochondrial Impairment After Heart Transplantation. Transplantation Direct. 6(11). e616–e616. 6 indexed citations
14.
Oliveira, Marcos, Diego Pinheiro, Mariana Macedo, Carmelo J. A. Bastos-Filho, & Ronaldo Menezes. (2020). Uncovering the social interaction network in swarm intelligence algorithms. Applied Network Science. 5(1). 11 indexed citations
15.
Murphy, Michael D., et al.. (2019). A Data-Driven Social Network Intervention for Improving Organ Donation Awareness Among Minorities: Analysis and Optimization of a Cross-Sectional Study. Journal of Medical Internet Research. 22(1). e14605–e14605. 13 indexed citations
16.
Bez, Marta Rosecler, et al.. (2018). HEALTH SIMULATOR: um simulador de casos de estudo para a área da saúde. SHILAP Revista de lepidopterología. 4(3). 283–306. 2 indexed citations
17.
Pinheiro, Diego, et al.. (2017). Characterizing Organ Donation Awareness from Social Media. Open Research Exeter (University of Exeter). 1541–1548. 5 indexed citations
18.
Pinheiro, Diego, et al.. (2016). A data science approach for quantifying spatio-temporal effects to graft failures in organ transplantation. PubMed. 2016. 3433–3436. 4 indexed citations
19.
Pinheiro, Diego, et al.. (2016). Characterization of Football Supporters from Twitter Conversations. 169–176. 6 indexed citations
20.
Epifânio, Matias, et al.. (2013). Infants under 3 months old with cyanosis at the emergency room: could it be gastroesophageal reflux?. Diseases of the Esophagus. 27(4). 335–339.

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.

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