Alexandra M. Schmidt
#141,762
Most Influential Person Now
Brazilian biostatistician and epidemiologist
Alexandra M. Schmidt's AcademicInfluence.com Rankings
Alexandra M. Schmidtmedical Degrees
Medical
#3810
World Rank
#4325
Historical Rank
Epidemiology
#862
World Rank
#898
Historical Rank
Alexandra M. Schmidtmathematics Degrees
Mathematics
#7842
World Rank
#10650
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Statistics
#1019
World Rank
#1119
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Measure Theory
#4716
World Rank
#5523
Historical Rank
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Medical Mathematics
Alexandra M. Schmidt's Degrees
- Masters Epidemiology Johns Hopkins University
- Bachelors Statistics Federal University of Rio de Janeiro
Why Is Alexandra M. Schmidt Influential?
(Suggest an Edit or Addition)According to Wikipedia, Alexandra M. Schmidt is a Brazilian biostatistician and epidemiologist who works as an associate professor of biostatistics at McGill University in Canada. She is known for her research on spatiotemporal and multivariate statistics and their applications in environmental statistics.
Alexandra M. Schmidt's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Nonstationary multivariate process modeling through spatially varying coregionalization (2004) (329)
- Bayesian inference for non‐stationary spatial covariance structure via spatial deformations (2003) (312)
- A Bayesian coregionalization approach for multivariate pollutant data (2003) (151)
- Modelling species diversity through species level hierarchical modelling (2005) (146)
- Considering covariates in the covariance structure of spatial processes (2011) (94)
- A class of covariate-dependent spatiotemporal covariance functions. (2011) (63)
- Spatio‐temporal models for mapping the incidence of malaria in Pará (2005) (63)
- Spatial stochastic frontier models: accounting for unobserved local determinants of inefficiency (2006) (53)
- Accounting for spatially varying directional effects in spatial covariance structures (2012) (51)
- Stochastic search algorithms for optimal design of monitoring networks (2009) (43)
- Modelling zero-inflated spatio-temporal processes (2009) (36)
- Revisiting distributed lag models through a Bayesian perspective (2006) (34)
- Bayesian spatio‐temporal models based on discrete convolutions (2008) (32)
- Measurement of Trace Metal Composition in Diesel Engine Particulate and its Potential for Determining Oil Consumption: ICPMS (Inductively Coupled Plasma Mass Spectrometer) and ATOFMS (Aerosol Time of Flight Mass Spectrometer) Measurements (2003) (30)
- Modelling Multivariate Counts Varying Continuously in Space (2011) (26)
- A joint model for rainfall–runoff: The case of Rio Grande Basin (2008) (26)
- Modelling Time Series of Counts in Epidemiology (2011) (23)
- Covariance structure of spatial and spatiotemporal processes (2013) (21)
- Hyperparameter estimation in forecast models (1999) (20)
- Spatial modelling of the relative risk of dengue fever in Rio de Janeiro for the epidemic period between 2001 and 2002 (2006) (19)
- Spatiotemporal models for skewed processes (2017) (18)
- Investigating the sensitivity of Gaussian processes to the choice of their correlation function and prior specifications (2008) (18)
- A nonlinear population Monte Carlo scheme for the Bayesian estimation of parameters of α-stable distributions (2015) (17)
- Longitudinal evaluation of a household energy package on blood pressure, central hemodynamics, and arterial stiffness in China. (2019) (15)
- Spatially Varying Autoregressive Processes (2011) (12)
- An adaptive resampling scheme for cycle estimation (1999) (12)
- A Hierarchical Model for Aggregated Functional Data (2011) (12)
- The role of case importation in explaining differences in early SARS-CoV-2 transmission dynamics in Canada—A mathematical modeling study of surveillance data (2020) (12)
- Linking biochemical and biophysical variables derived from imaging spectrometers to ecological models - The HyEco'04 Group Shoot (2005) (11)
- On the Effects of Spatial Confounding in Hierarchical Models (2020) (11)
- Causal Inference Under Mis-Specification: Adjustment Based on the Propensity Score (2022) (10)
- Accounting for covariate information in the scale component of spatio-temporal mixing models (2017) (9)
- Spatio-temporal modelling of the first Chikungunya epidemic in an intra-urban setting: The role of socioeconomic status, environment and temperature (2020) (8)
- Evolutionary Markov chain Monte Carlo algorithms for optimal monitoring network designs (2012) (7)
- Flexible spatial covariance functions (2020) (7)
- Measuring the vulnerability of the Uruguayan population to vector-borne diseases via spatially hierarchical factor models (2012) (7)
- Conditional Autoregressive (CAR) Model (2018) (6)
- An efficient sampling scheme for dynamic generalized models (2013) (6)
- Population counts along elliptical habitat contours: hierarchical modelling using Poisson-lognormal mixtures with nonstationary spatial structure (2015) (6)
- Modelling categorized levels of precipitation (2014) (5)
- Spatial confounding in hurdle multilevel beta models: the case of the Brazilian Mathematical Olympics for Public Schools (2020) (5)
- Fluoroquinolone Use and Seasonal Patterns of Ciprofloxacin Resistance in Community-acquired Urinary Escherichia coli in a Large Urban Center. (2020) (5)
- An Ecient Sampling Scheme for Generalized Dynamic Models (2006) (4)
- Importation of SARS-CoV-2 following the "semaine de relache" and Quebec's (Canada) COVID-19 burden - a mathematical modeling study (2020) (3)
- Bayesian estimation of the average treatment effect on the treated using inverse weighting (2019) (3)
- Within city spatiotemporal variation of pollen concentration in the city of Toronto, Canada (2021) (3)
- Price discounting as a hidden risk factor of energy drink consumption (2021) (3)
- Quantifying within-city inequalities in child mortality across neighbourhoods in Accra, Ghana: a Bayesian spatial analysis (2021) (3)
- Estimating an individual-level deprivation index for HIV/HCV coinfected persons in Canada (2021) (2)
- Socioeconomic factors and bacillary dysentery risk in Jiangsu Province, China: a spatial investigation using Bayesian hierarchical models (2020) (2)
- Revisiting distributed lag models through a Bayesian perspective: Research Articles (2006) (2)
- A Hierarchical Mixture Beta Dynamic Model of School Performance in the Brazilian Mathematical Olympiads for Public Schools (2017) (2)
- The role of socioeconomic status, environment, and temperature in the spatio-temporal distribution of the first Chikungunya epidemic in the city of Rio de Janeiro, Brazil (2020) (2)
- Stochastic Search Algorithms for Optimal Monitoring Network Designs (2006) (2)
- Spatial modeling of ambient concentrations of volatile organic compounds in Montreal, Canada (2022) (1)
- A joint spatial marked point process model for dengue and severe dengue in Medellin, Colombia. (2021) (1)
- A Hierarchical Dynamic Beta Regression Model of School Performance in the Brazilian Mathematical Olympiads for Public Schools (2015) (1)
- Transfer functions: learning about a lagged exposure-outcome association in time-series data (2021) (1)
- Joint Modeling of Resistance to Six Antimicrobials in Urinary Escherichia coli Isolates in Quebec, Canada (2019) (1)
- Mapping malaria in the Amazon rain forest: A spatio-temporal mixture model (2018) (1)
- A Note on Foreign Direct Investment (FDI) and Industrial Competitiveness in Brazil (2015) (1)
- An Area-Level Indicator of Latent Soda Demand: Spatial Statistical Modeling of Grocery Store Transaction Data to Characterize the Nutritional Landscape in Montreal, Canada. (2019) (1)
- Extended Bayesian endemic–epidemic models to incorporate mobility data into COVID‐19 forecasting (2022) (1)
- Spatial Modelling of Fish Counts in a Stream Network (2015) (0)
- The impact of directly observed therapy on the efficacy of Tuberculosis treatment: A Bayesian multilevel approach (2023) (0)
- Discussion on “Spatial+: a novel approach to spatial confounding” by Emiko Dupont, Simon N. Wood, and Nicole H. Augustin (2022) (0)
- A Zero-State Coupled Markov Switching Poisson Model for Spatio-temporal Infectious Disease Counts (2021) (0)
- A Bayesian Non-Stationary Heteroskedastic Time Series Model for Multivariate Critical Care Data (2023) (0)
- Supplement: Spatially Varying Autoregressive Processes (2011) (0)
- A process convolution model for crash count data on a network. (2022) (0)
- A joint hierarchical model for the number of cases and deaths due to COVID-19 across the boroughs of Montreal (2021) (0)
- Dynamical non-Gaussian modelling of spatial processes (2021) (0)
- Patterns of opioid utilization in the 90-days post hospital discharge and risk of re-admissions and emergency department visits (2018) (0)
- A Bayesian approach for the rainfall-runo problem: The case of Rio Grande Basin (2006) (0)
- Title: Estimating the lagged effect of price discounting: a time-series study using transaction data of sugar sweetened beverages. (2021) (0)
- On Data Augmentation in Point Process Models Based on Thinning Procedures (2022) (0)
- A three-state coupled Markov switching model for COVID-19 outbreaks across Quebec based on hospital admissions (preprint) (2023) (0)
- Zero‐state coupled Markov switching count models for spatio‐temporal infectious disease spread (2021) (0)
- A Poisson-multinomial spatial model for simultaneous outbreaks with application to arboviral diseases (2022) (0)
- Spatial variations in PM2.5 oxidative potential in Toronto and Montreal, Canada (2021) (0)
- Standard Data Form Natura 2000 (2015) (0)
- Identifying vulnerable urban neighbourhoods and their environmental, density, and housing characteristics in Accra, Ghana using census and remote sensing data (2021) (0)
- Combined Deep Learning and Land Use Regression Models for Ultrafine Particles and Black Carbon in Montreal and Toronto, Canada (2022) (0)
- Discussion on “A combined estimate of global temperature” (2022) (0)
- Cardiovascular and Air Pollution Impacts of a High-Performing Semi-Gasifier Stove and Fuel Intervention in China (2019) (0)
- Satellite-derived local air pollution impacts of the household ‘coal-to-clean energy’ program in Beijing (2022) (0)
- Authors' rejoinder to the discussion comments of Genton and Hering, and Huerta and Stroud (2017) (0)
- On‐Line Warning System for Pipe Burst Using Bayesian Dynamic Linear Models (2023) (0)
- Predicting high-resolution spatial and temporal variations in summer air temperatures and its effect on asthma and myocardial-infarctions in Montreal, Canada (2021) (0)
- A Bayesian hierarchical model for disease mapping that accounts for scaling and heavy-tailed latent effects (2021) (0)
- Revisiting Transfer Functions: Learning About a Lagged Exposure-Outcome Association in Time-Series Data (2022) (0)
- Generating community measures of food purchasing activities using store-level electronic grocery transaction records: an ecological study in Montreal, Canada (2021) (0)
- Estimating the lagged effect of price discounting: a time-series study on sugar sweetened beverage purchasing in a supermarket (2022) (0)
- Bayesian Modeling of Dynamic Behavioral Change During an Epidemic (2022) (0)
- An efficient sampling scheme for dynamic generalized models (2013) (0)
- Healthcare-associated bloodstream infection trends under a provincial surveillance program (2019) (0)
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