Maria‐Pia Victoria‐Feser

71 papers and 1.2k indexed citations i.

About

Maria‐Pia Victoria‐Feser is a scholar working on Statistics and Probability, Sociology and Political Science and Statistics, Probability and Uncertainty. According to data from OpenAlex, Maria‐Pia Victoria‐Feser has authored 71 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Statistics and Probability, 24 papers in Sociology and Political Science and 18 papers in Statistics, Probability and Uncertainty. Recurrent topics in Maria‐Pia Victoria‐Feser’s work include Advanced Statistical Methods and Models (36 papers), Income, Poverty, and Inequality (24 papers) and Statistical Methods and Inference (24 papers). Maria‐Pia Victoria‐Feser is often cited by papers focused on Advanced Statistical Methods and Models (36 papers), Income, Poverty, and Inequality (24 papers) and Statistical Methods and Inference (24 papers). Maria‐Pia Victoria‐Feser collaborates with scholars based in Switzerland, United Kingdom and Canada. Maria‐Pia Victoria‐Feser's co-authors include Frank Cowell, Stéphane Guerrier, Jan Škaloud, Elvezio Ronchetti and Debbie J. Dupuis and has published in prestigious journals such as Journal of the American Statistical Association, Econometrica and Astronomy and Astrophysics.

In The Last Decade

Fields of papers citing papers by Maria‐Pia Victoria‐Feser

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 Maria‐Pia Victoria‐Feser. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Maria‐Pia Victoria‐Feser may publish in the future.

Countries citing papers authored by Maria‐Pia Victoria‐Feser

Since Specialization
Citations

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

Rankless by CCL
2025