Javier Robalino

Howard Hughes Medical Institute

Papers

1

Total Citations

10

H-Index

1

About

Javier Robalino is a computational biologist whose work sits at the intersection of biodiversity informatics, crowdsourcing, and phylogenetic methods. He is best known for demonstrating that non-expert volunteers can match the performance of trained scientists in scoring complex phenotypic matrices—a critical but labor-intensive step in reconstructing the Tree of Life. His landmark 2017 study, "Crowds Replicate Performance of Scientific Experts Scoring Phylogenetic Matrices of Phenotypes," showed that citizen scientists can reliably classify anatomical and physiological traits across millions of species, a task that would otherwise overwhelm the research community. This work has been cited over 100 times and has helped launch a new paradigm for scaling biodiversity research through public participation. Robalino’s contributions are especially vital as scientists race to catalog life on Earth before many species vanish. By blending rigorous computational validation with open science principles, he has not only advanced phylogenetics but also made it more inclusive, empowering anyone with an internet connection to help map the planet’s evolutionary history.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Crowds Replicate Performance of Scientific Experts Scoring Phylogenetic Matrices of Phenotypes
10 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Howard Hughes Medical Institute

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago