Alexander Rodríguez

1.2k total citations
21 papers, 285 citations indexed

About

Alexander Rodríguez is a scholar working on Artificial Intelligence, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Alexander Rodríguez has authored 21 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Epidemiology and 5 papers in Modeling and Simulation. Recurrent topics in Alexander Rodríguez's work include COVID-19 epidemiological studies (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Influenza Virus Research Studies (4 papers). Alexander Rodríguez is often cited by papers focused on COVID-19 epidemiological studies (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Influenza Virus Research Studies (4 papers). Alexander Rodríguez collaborates with scholars based in United States, Colombia and United Kingdom. Alexander Rodríguez's co-authors include B. Aditya Prakash, Jaroslaw P. Maciejewski, Christine L. O’Keefe, Marcin W. Włodarski, Jeffrey J. Chalmers, Kara E. McCloskey, Lisa R. Moore, Magdalena Plašilová, Antonio M. Risitano and Neal S. Young and has published in prestigious journals such as The Journal of Immunology, Vaccine and Biotechnology Progress.

In The Last Decade

Alexander Rodríguez

19 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Rodríguez United States 10 85 54 43 42 39 21 285
Nancy Sun United States 10 182 2.1× 60 1.1× 79 1.8× 12 0.3× 32 0.8× 21 729
Yi Yu China 12 159 1.9× 77 1.4× 15 0.3× 68 1.6× 63 1.6× 30 516
Wenxin Luo China 11 85 1.0× 117 2.2× 13 0.3× 86 2.0× 23 0.6× 29 645
Adam L. Booth United States 10 21 0.2× 68 1.3× 7 0.2× 24 0.6× 42 1.1× 28 416
Su‐Jin Choi South Korea 11 40 0.5× 100 1.9× 27 0.6× 38 0.9× 57 1.5× 22 500
Martina Capuzzo Italy 10 27 0.3× 26 0.5× 17 0.4× 70 1.7× 30 0.8× 17 572
Qianyun Zhang China 9 21 0.2× 34 0.6× 10 0.2× 10 0.2× 62 1.6× 21 261
Daniel Sheinson United States 13 20 0.2× 91 1.7× 23 0.5× 11 0.3× 105 2.7× 37 431
Xinkai Zhou United States 11 44 0.5× 98 1.8× 4 0.1× 29 0.7× 92 2.4× 33 366
Jacky Man Chun Chan Hong Kong 5 51 0.6× 14 0.3× 29 0.7× 10 0.2× 30 0.8× 7 381

Countries citing papers authored by Alexander Rodríguez

Since Specialization
Citations

This map shows the geographic impact of Alexander Rodríguez'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 Alexander Rodríguez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Rodríguez more than expected).

Fields of papers citing papers by Alexander Rodríguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander Rodríguez. 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 Alexander Rodríguez. The network helps show where Alexander Rodríguez may publish in the future.

Co-authorship network of co-authors of Alexander Rodríguez

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Rodríguez. A scholar is included among the top collaborators of Alexander Rodríguez 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 Alexander Rodríguez. Alexander Rodríguez 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
1.
Milando, Chad, Kayoko Shioda, Guilherme Loureiro Werneck, et al.. (2025). Evaluating the contribution of weather variables to machine learning forecasts of visceral leishmaniasis in Brazil. PubMed. 3(4). 45012–45012.
2.
Rodríguez, Alexander, et al.. (2025). Neural Conformal Control for Time Series Forecasting. Proceedings of the AAAI Conference on Artificial Intelligence. 39(17). 18439–18447.
3.
Rodríguez, Alexander, et al.. (2024). Machine learning for data-centric epidemic forecasting. Nature Machine Intelligence. 6(10). 1122–1131. 9 indexed citations
4.
Rodríguez, Alexander, Jiaming Cui, Naren Ramakrishnan, Bijaya Adhikari, & B. Aditya Prakash. (2023). EINNs: Epidemiologically-Informed Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 14453–14460. 11 indexed citations
5.
Adhikari, Bijaya, Alexander Rodríguez, Sen Pei, et al.. (2023). epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. 5847–5848. 1 indexed citations
6.
7.
Chopra, Ayush, Alexander Rodríguez, B. Aditya Prakash, Ramesh Raskar, & Thomas C. Kingsley. (2023). Using neural networks to calibrate agent based models enables improved regional evidence for vaccine strategy and policy. Vaccine. 41(48). 7067–7071. 1 indexed citations
8.
Parra, Leonardo, et al.. (2023). Innovative and Successful Real-Time Automatization for Production in Oil and Gas Industry. 149–150. 2 indexed citations
9.
Rodríguez, Alexander, et al.. (2022). Epidemic Forecasting with a Data-Centric Lens. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 4822–4823. 2 indexed citations
10.
Kong, Lingkai, et al.. (2022). CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. Proceedings of the ACM Web Conference 2022. 3174–3185. 9 indexed citations
11.
Adhikari, Bijaya, Amulya Yadav, Ajitesh Srivastava, et al.. (2022). epiDAMIK 5.0. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 4850–4851. 1 indexed citations
12.
Adhikari, Bijaya, Ajitesh Srivastava, Rose Yu, et al.. (2021). The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021). 4104–4105. 2 indexed citations
13.
Rodríguez, Alexander, Nikhil Muralidhar, Bijaya Adhikari, et al.. (2021). Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. Proceedings of the AAAI Conference on Artificial Intelligence. 35(6). 4855–4863. 15 indexed citations
14.
Rodríguez, Alexander, Anika Tabassum, Jiaming Cui, et al.. (2021). DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting. Proceedings of the AAAI Conference on Artificial Intelligence. 35(17). 15393–15400. 26 indexed citations
15.
Freier, Luisa Feline, et al.. (2020). The impact of COVID-19 on Venezuelan migrants’ access to health: A qualitative study in Colombian and Peruvian cities. Journal of Migration and Health. 3. 100029–100029. 34 indexed citations
16.
Rodríguez, Alexander, et al.. (2020). Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. arXiv (Cornell University). 35(6). 4855–4863. 2 indexed citations
17.
O’Keefe, Christine L., Magdalena Plašilová, Marcin W. Włodarski, et al.. (2004). Molecular Analysis of TCR Clonotypes in LGL: A Clonal Model for Polyclonal Responses. The Journal of Immunology. 172(3). 1960–1969. 54 indexed citations
18.
O’Keefe, Christine L., Ronald Sobecks, Marcin W. Włodarski, et al.. (2004). Molecular TCR diagnostics can be used to identify shared clonotypes after allogeneic hematopoietic stem cell transplantation. Experimental Hematology. 32(10). 1010–1022. 19 indexed citations
19.
Plašilová, Magdalena, Antonio M. Risitano, Christine L. O’Keefe, et al.. (2004). Shared and individual specificities of immunodominant cytotoxic T-cell clones in paroxysmal nocturnal hemoglobinuria as determined by molecular analysis. Experimental Hematology. 32(3). 261–269. 18 indexed citations
20.
McCloskey, Kara E., et al.. (2003). Magnetophoretic Cell Sorting Is a Function of Antibody Binding Capacity. Biotechnology Progress. 19(3). 899–907. 52 indexed citations

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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