Alexandra M. Schmidt

2.9k total citations
101 papers, 2.0k citations indexed

About

Alexandra M. Schmidt is a scholar working on Statistics and Probability, Economics and Econometrics and Environmental Engineering. According to data from OpenAlex, Alexandra M. Schmidt has authored 101 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistics and Probability, 26 papers in Economics and Econometrics and 18 papers in Environmental Engineering. Recurrent topics in Alexandra M. Schmidt's work include Statistical Methods and Bayesian Inference (20 papers), Economic and Environmental Valuation (18 papers) and Soil Geostatistics and Mapping (16 papers). Alexandra M. Schmidt is often cited by papers focused on Statistical Methods and Bayesian Inference (20 papers), Economic and Environmental Valuation (18 papers) and Soil Geostatistics and Mapping (16 papers). Alexandra M. Schmidt collaborates with scholars based in Canada, Brazil and United States. Alexandra M. Schmidt's co-authors include Alan E. Gelfand, Anthony O’Hagan, Thomas Bein, Sudipto Banerjee, C. F. Sirmans, Christoph Bräuchle, Veronika Weiß, Christian Argyo, Peter Guttorp and Hélio S. Migon and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Nano Letters and PLoS ONE.

In The Last Decade

Alexandra M. Schmidt

93 papers receiving 1.9k citations

Peers

Alexandra M. Schmidt

T. Subba Rao India

Xibin Zhang China

James J. Filliben United States

Olivier Thas Belgium

Ashish Sen United States

M. D. Ugarte Spain

Paola Annoni Italy

Murari Singh India

R. L. Anderson United States

Mohammad Rezaul Karim United States

T. Subba Rao India

Alexandra M. Schmidt

150 ×0.3

340 ×0.9

590 ×2.0

338 ×1.4

553 ×2.2

Citations per year, relative to Alexandra M. Schmidt Alexandra M. Schmidt (= 1×) peers T. Subba Rao

Countries citing papers authored by Alexandra M. Schmidt

Since Specialization

Citations

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

Fields of papers citing papers by Alexandra M. Schmidt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexandra M. Schmidt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alexandra M. Schmidt. The network helps show where Alexandra M. Schmidt may publish in the future.

Co-authorship network of co-authors of Alexandra M. Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandra M. Schmidt. A scholar is included among the top collaborators of Alexandra M. Schmidt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alexandra M. Schmidt. Alexandra M. Schmidt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Douwes‐Schultz, Dirk, Alexandra M. Schmidt, Yan Shen, & David L. Buckeridge. (2025). A three-state coupled Markov switching model for COVID-19 outbreaks across Quebec based on hospital admissions. The Annals of Applied Statistics. 19(1).

Freitas, Laís Picinini, Mabel Carabalí, Alexandra M. Schmidt, et al.. (2025). A nationwide joint spatial modelling of simultaneous epidemics of dengue, chikungunya, and Zika in Colombia. BMC Infectious Diseases. 25(1). 406–406.

Chen, Xiaoxu, Zhanhong Cheng, Alexandra M. Schmidt, & Lijun Sun. (2024). Conditional forecasting of bus travel time and passenger occupancy with Bayesian Markov regime-switching vector autoregression. Transportation Research Part B Methodological. 192. 103147–103147. 1 indexed citations

Olaniyan, Toyib, Arman Ganji, Junshi Xu, et al.. (2024). Airborne Nanoparticle Concentrations Are Associated with Increased Mortality Risk in Canada’s Two Largest Cities. American Journal of Respiratory and Critical Care Medicine. 210(11). 1338–1347. 12 indexed citations

Matthes, Katja, Alexandra M. Schmidt, Jochen Hampe, et al.. (2024). Subcutaneous infliximab in Crohn’s disease patients with previous immunogenic failure of intravenous infliximab. International Journal of Colorectal Disease. 39(1). 151–151. 1 indexed citations

Eddy, Rachel L., David Mummy, Alexandra M. Schmidt, et al.. (2024). Cluster analysis to identify long COVID phenotypes using¹²⁹Xe magnetic resonance imaging: a multicentre evaluation. European Respiratory Journal. 63(3). 2302301–2302301. 5 indexed citations

Henriques‐Silva, Renato, et al.. (2023). On‐Line Warning System for Pipe Burst Using Bayesian Dynamic Linear Models. Water Resources Research. 59(4). 6 indexed citations

Wagner, Tobias, Markus M. Lerch, Frank Lammert, et al.. (2023). Kosten potenziell ambulant erbringbarer endoskopischer Leistungen in Fällen mit 1-Tages-Verweildauer gegenüber einer längeren Verweildauer. Zeitschrift für Gastroenterologie. 61(5). 504–514. 1 indexed citations

Ward, Caitlin, Rob Deardon, & Alexandra M. Schmidt. (2023). Bayesian modeling of dynamic behavioral change during an epidemic. Infectious Disease Modelling. 8(4). 947–963. 6 indexed citations

10.

Bixby, Honor, James E. Bennett, Ayaga A. Bawah, et al.. (2022). Quantifying within-city inequalities in child mortality across neighbourhoods in Accra, Ghana: a Bayesian spatial analysis. BMJ Open. 12(1). e054030–e054030. 10 indexed citations

11.

Schmidt, Alexandra M., et al.. (2022). A process convolution model for crash count data on a network. Accident Analysis & Prevention. 177. 106823–106823.

12.

Schmidt, Alexandra M., et al.. (2022). A rare case of combined black esophagus and stomach: a case report. PubMed. 6. 35–35.

13.

Schmidt, Alexandra M., et al.. (2022). A joint hierarchical model for the number of cases and deaths due to COVID-19 across the boroughs of Montreal. Spatial and Spatio-temporal Epidemiology. 42. 100518–100518. 1 indexed citations

14.

Schmidt, Alexandra M., Scott Weichenthal, Daniel Katz, et al.. (2021). Within city spatiotemporal variation of pollen concentration in the city of Toronto, Canada. Environmental Research. 206. 112566–112566. 6 indexed citations

15.

Schmidt, Alexandra M., et al.. (2020). Socioeconomic factors and bacillary dysentery risk in Jiangsu Province, China: a spatial investigation using Bayesian hierarchical models. International Journal of Environmental Health Research. 32(1). 220–231. 2 indexed citations

16.

Buckeridge, David L., Sharmistha Mishra, Dirk Douwes‐Schultz, et al.. (2020). The role of case importation in explaining differences in early SARS-CoV-2 transmission dynamics in Canada—A mathematical modeling study of surveillance data. International Journal of Infectious Diseases. 102. 254–259. 14 indexed citations

17.

Clark, Sierra, Alexandra M. Schmidt, Ellison M. Carter, et al.. (2019). Longitudinal evaluation of a household energy package on blood pressure, central hemodynamics, and arterial stiffness in China. Environmental Research. 177. 108592–108592. 14 indexed citations

18.

Moodie, Erica E. M., et al.. (2019). Bayesian estimation of the average treatment effect on the treated using inverse weighting. Statistics in Medicine. 38(13). 2447–2466. 1 indexed citations

19.

Schmidt, Alexandra M., et al.. (2002). Alguns aspectos da modelagem de dados espacialmente referenciados. 63(220). 59–88. 1 indexed citations

20.

Schmidt, Alexandra M., Dani Gamerman, & Ajax Reynaldo Bello Moreira. (1999). An adaptive resampling scheme for cycle estimation. Journal of Applied Statistics. 26(5). 619–641. 9 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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