Miguel Reboiro‐Jato

Papers

Total Citations

200

H-Index

About

Miguel Reboiro‐Jato is a leading figure in bioinformatics and computational biology, with a particular focus on data integration, machine learning, and high-performance computing for biomedical research. His most cited work, "Web scraping technologies in an API world" (2013, 200 citations), addresses a critical gap in biomedical data integration: while web services are the standard, many databases and tools lack API support. Reboiro‐Jato’s contributions have provided robust methodologies for extracting and harmonizing data from non-API sources, enabling more comprehensive analyses in genomics and proteomics. Beyond this, he has developed innovative frameworks for parallel computing and optimization algorithms, significantly accelerating complex biological simulations. His work has been instrumental in advancing the accessibility and scalability of bioinformatics tools, earning him recognition as a key architect of modern data integration strategies. With a citation count reflecting his impact, Reboiro‐Jato continues to shape the field by bridging the gap between raw web data and actionable biological insights, making his research indispensable for students and professionals tackling large-scale biomedical challenges.