Paige Maas

11 papers and 365 indexed citations i.

About

Paige Maas is a scholar working on Sociology and Political Science, Oncology and Statistics and Probability. According to data from OpenAlex, Paige Maas has authored 11 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Sociology and Political Science, 2 papers in Oncology and 2 papers in Statistics and Probability. Recurrent topics in Paige Maas’s work include Disaster Management and Resilience (2 papers), Evacuation and Crowd Dynamics (2 papers) and Global Cancer Incidence and Screening (2 papers). Paige Maas is often cited by papers focused on Disaster Management and Resilience (2 papers), Evacuation and Crowd Dynamics (2 papers) and Global Cancer Incidence and Screening (2 papers). Paige Maas collaborates with scholars based in United States, Taiwan and United Kingdom. Paige Maas's co-authors include Nilanjan Chatterjee, Luc Bonneux, Jan J. Barendregt, Raymond J. Carroll, Yi‐Hau Chen, Luigi Ferrucci, Roland J. Thorpe, John P. Carey, Frank R. Lin and Wade W. Chien and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Journal of the Association for Research in Otolaryngology.

In The Last Decade

Co-authorship network of co-authors of Paige Maas i

Fields of papers citing papers by Paige Maas

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Paige Maas. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Paige Maas may publish in the future.

Countries citing papers authored by Paige Maas

Since Specialization
Citations

This map shows the geographic impact of Paige Maas'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 Paige Maas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paige Maas more than expected).

Rankless by CCL
2025