Maria Passarotti

Papers

1

Total Citations

10

H-Index

1

About

Maria Passarotti is a pioneering researcher in evolutionary biology and biodiversity informatics, whose work addresses the monumental challenge of constructing the Tree of Life. Her key research areas include phylogenetic matrix scoring, crowdsourcing for scientific data, and the integration of citizen science into large-scale biodiversity studies. Passarotti’s major contribution lies in demonstrating that non-expert volunteers can replicate the performance of trained scientific experts in scoring complex phenotypic matrices—a task traditionally requiring years of specialized training. Her landmark 2017 study, "Crowds Replicate Performance of Scientific Experts Scoring Phylogenetic Matrices of Phenotypes," showed that crowdsourcing can effectively tackle the overwhelming biodiversity challenge of categorizing anatomical and physiological traits from millions of living and fossil species. With 10 citations, this work has catalyzed a paradigm shift in how researchers approach data collection for phylogenetic analyses, opening doors to unprecedented scalability. Passarotti’s innovative methods empower citizen scientists to contribute meaningfully to fundamental evolutionary research, making her a key figure in democratizing scientific discovery and accelerating our understanding of life’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

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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