Scholar
Alexander J Gates
Google Scholar ID: lWadInsAAAAJ
Assistant Professor, School of Data Science, University of Virginia
Citations & Impact
Citations
2,094
H-index
13
i10-index
16
Publications
20
Co-authors
16
list available
Publications
Resume (English only)
Academic Achievements
- 1. Organized the inaugural Data Is Art competition at UVA.
- 2. Published a paper 'Mapping Philanthropic Support of Science' in Scientific Reports.
- 3. Published a paper 'Translating interdisciplinary knowledge for gender equity: Quantifying the impact of NSF ADVANCE' in Social Science Quarterly.
- 4. Invited presentation on 'The increasing fragmentation of global science limits the diffusion of ideas' at SDS-Darden Collaboratory for Applied Data Science in Business.
- 5. Published a paper 'A network-based normalized impact measure reveals successful periods of scientific discovery across disciplines' featured on the cover of PNAS.
- 6. Published a paper 'Quantifying Hierarchy and Prestige in US Ballet Academies as Social Predictors of Career Success' in Scientific Reports.
- 7. Invited presentation on 'Beyond Core-Periphery: Uncovering the Impacts of Scientific Networks on Resources and Recognition' at Northwester Institute on Complex Systems.
- 8. Welcomed Jianjian Gao as a new Postdoc in the lab.
- 9. Congratulated Dr. Yessica Herrera-Guzman who successfully defended her dissertation with highest honors.
- 10. Published a paper 'Reproducible Science of Science at scale: pySciSci' in Quantitative Science Studies.
Research Experience
- Assistant Professor at the School of Data Science, University of Virginia.
Education
- Ph.D. in Informatics (focusing on complex networks) and Cognitive Science from Indiana University, Bloomington; MSc in Complex Systems Modeling from King’s College London; BA in Mathematics from Cornell University.
Background
- Research interests: How interconnectedness and organizations shape the scientific, artistic, and business world. Employing a highly multidisciplinary approach—combining tools and techniques from Computational Social Science, Data Science, and Network Science with theory from Sociology. Current focus is in the Science of Science where his group analyzes and models how organizational structure and strategic decisions impact innovation, creativity, and success.
