Alvaro Velasquez
- Neurology top 10%
- Artificial Intelligence top 10%
- Reinforcement Learning in Robotics 13
- Adversarial Robustness in Machine Learning 11
- Machine Learning and Algorithms 6
- Natural Language Processing Techniques 6
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- Advanced Memory and Neural Computing 12
- Ferroelectric and Negative Capacitance Devices 11
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- Iron oxide chemistry and applications 8
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- Magnetic Properties and Synthesis of Ferrites 6
- Co-authors
- Sumit Kumar JhaSusmit JhaSara C. AuldKarima BenameurRaymond F. SchinaziWilliam T. HuMark E. MullinsTuğba Öztürk
- Cited by
- NeurologyInfectious Diseases
- Journals
- SHILAP Revista de lepidopterología (1 paper)Bioinformatics (1 paper)American Journal of Respiratory and Critical Care Medicine (1 paper)
- Partner nations
- United StatesColombiaMexico
In The Last Decade
Alvaro Velasquez
81 papers receiving 741 citations
Peers
Comparison fields: 5 of 131
- Neurology 136
- Infectious Diseases 95
- Neurology 41
- Critical Care and Intensive Care Medicine 25
- Artificial Intelligence 127
Countries citing papers authored by Alvaro Velasquez
This map shows the geographic impact of Alvaro Velasquez'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 Alvaro Velasquez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alvaro Velasquez more than expected).
Fields of papers citing papers by Alvaro Velasquez
This network shows the impact of papers produced by Alvaro Velasquez. 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 Alvaro Velasquez. The network helps show where Alvaro Velasquez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alvaro Velasquez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 12 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 18 | |
| 15 | 2020 | 1 | |
| 16 | 2020 | 15 | |
| 17 | On the Susceptibility of Deep Neural Networks to Natural Perturbations. | 2019 | 2 |
| 18 | 2013 | 6 | |
| 19 | Caracterización de Imanes para aplicación en sistemas de sensado de posición | 2010 | 0 |
| 20 | 1998 | 60 |
About Alvaro Velasquez
Alvaro Velasquez is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Renewable Energy, Sustainability and the Environment, having authored 94 papers that have together received 760 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (13 papers), Advanced Memory and Neural Computing (12 papers), Adversarial Robustness in Machine Learning (11 papers), Ferroelectric and Negative Capacitance Devices (11 papers), Iron oxide chemistry and applications (8 papers), Machine Learning and Algorithms (6 papers), Natural Language Processing Techniques (6 papers) and Magnetic Properties and Synthesis of Ferrites (6 papers). The work is most often cited by research in Neurology (136 citations), Infectious Diseases (95 citations) and Neurology (41 citations). Alvaro Velasquez has collaborated with scholars based in United States, Colombia and Mexico. Frequent co-authors include Sumit Kumar Jha, Susmit Jha, Sara C. Auld, Karima Benameur, Raymond F. Schinazi, William T. Hu, Mark E. Mullins, Tuğba Öztürk, Houbing Song and J. Christina Howell. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and American Journal of Respiratory and Critical Care Medicine.
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.