Michael Escobar

9.1k total citations · 2 hit papers
97 papers, 6.4k citations indexed

About

Michael Escobar is a scholar working on Epidemiology, Emergency Medicine and Statistics and Probability. According to data from OpenAlex, Michael Escobar has authored 97 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Epidemiology, 21 papers in Emergency Medicine and 18 papers in Statistics and Probability. Recurrent topics in Michael Escobar's work include Traumatic Brain Injury Research (19 papers), Trauma and Emergency Care Studies (18 papers) and Traumatic Brain Injury and Neurovascular Disturbances (12 papers). Michael Escobar is often cited by papers focused on Traumatic Brain Injury Research (19 papers), Trauma and Emergency Care Studies (18 papers) and Traumatic Brain Injury and Neurovascular Disturbances (12 papers). Michael Escobar collaborates with scholars based in Canada, United States and United Kingdom. Michael Escobar's co-authors include Mike West, Joseph H. Beitchman, Leslie Atkinson, Bennett A. Shaywitz, Sally E. Shaywitz, Jack Μ. Fletcher, Beth Wilson, Arlene Young, Lori Douglas and Robert Makuch and has published in prestigious journals such as New England Journal of Medicine, Journal of the American Statistical Association and PLoS ONE.

In The Last Decade

Michael Escobar

91 papers receiving 5.9k citations

Hit Papers

Bayesian Density Estimati... 1992 2026 2003 2014 1995 1992 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael Escobar 1.9k 1.6k 1.6k 941 680 97 6.4k
Susan A. Murphy 1.1k 0.6× 4.0k 2.5× 536 0.3× 1.9k 2.1× 654 1.0× 192 14.0k
David Thissen 385 0.2× 1.4k 0.9× 1.0k 0.6× 2.7k 2.9× 614 0.9× 166 13.2k
Paul H. Garthwaite 756 0.4× 1.4k 0.8× 827 0.5× 243 0.3× 2.3k 3.3× 128 8.3k
Constantine Frangakis 465 0.2× 2.1k 1.3× 159 0.1× 900 1.0× 725 1.1× 154 10.4k
Garrett M. Fitzmaurice 572 0.3× 2.4k 1.5× 327 0.2× 4.9k 5.3× 577 0.8× 345 15.8k
Nicholas J. Horton 477 0.3× 1.5k 0.9× 159 0.1× 2.3k 2.4× 602 0.9× 210 11.8k
Brian Caffo 693 0.4× 1.4k 0.9× 334 0.2× 258 0.3× 3.6k 5.2× 228 10.1k
Kathryn Roeder 968 0.5× 1.4k 0.9× 130 0.1× 1.5k 1.6× 1.5k 2.2× 164 13.5k
Ananda Sen 244 0.1× 871 0.5× 372 0.2× 694 0.7× 419 0.6× 225 10.7k
Peter E. Morris 401 0.2× 133 0.1× 1.3k 0.8× 1.0k 1.1× 2.0k 3.0× 215 12.8k

Countries citing papers authored by Michael Escobar

Since Specialization
Citations

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

Fields of papers citing papers by Michael Escobar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Escobar. 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 Michael Escobar. The network helps show where Michael Escobar may publish in the future.

Co-authorship network of co-authors of Michael Escobar

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Escobar. A scholar is included among the top collaborators of Michael Escobar 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 Michael Escobar. Michael Escobar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chan, Vincy, et al.. (2024). Cohort profile: a population-based birth cohort of traumatic brain injury in Ontario, Canada. European Journal of Epidemiology. 39(10). 1199–1206.
2.
Dharma, Christoffer, Peter Smith, Michael Escobar, et al.. (2024). Improving prevalence estimates of mental health and well-being indicators among sexual minority men: a propensity-weighting approach. American Journal of Epidemiology. 193(12). 1758–1767. 1 indexed citations
3.
Meaney, Christopher, Michael Escobar, Thérèse A. Stukel, et al.. (2023). Using ICD-9 diagnostic codes for external validation of topic models derived from primary care electronic medical record clinical text data. Health Informatics Journal. 29(1). 1197601043–1197601043.
4.
Meaney, Christopher, Thérèse A. Stukel, Peter C. Austin, et al.. (2023). Quality indices for topic model selection and evaluation: a literature review and case study. BMC Medical Informatics and Decision Making. 23(1). 132–132. 6 indexed citations
6.
Kalia, Sumeet, Olli Saarela, Tao Chen, et al.. (2022). Marginal Structural Models Using Calibrated Weights With SuperLearner: Application to Type II Diabetes Cohort. IEEE Journal of Biomedical and Health Informatics. 26(8). 4197–4206. 3 indexed citations
7.
Meaney, Christopher, Michael Escobar, Thérèse A. Stukel, Peter C. Austin, & Liisa Jaakkimainen. (2022). Comparison of Methods for Estimating Temporal Topic Models From Primary Care Clinical Text Data: Retrospective Closed Cohort Study. JMIR Medical Informatics. 10(12). e40102–e40102. 13 indexed citations
10.
Chan, Vincy, et al.. (2020). Data Mining to Understand How Health Status Preceding Traumatic Brain Injury Affects Functional Outcome: A Population-Based Sex-Stratified Study. Archives of Physical Medicine and Rehabilitation. 101(9). 1523–1531. 13 indexed citations
11.
Chan, Vincy, et al.. (2020). A population-based sex-stratified study to understand how health status preceding traumatic brain injury affects direct medical cost. PLoS ONE. 15(10). e0240208–e0240208. 12 indexed citations
12.
Mollayeva, Tatyana, et al.. (2020). Pre-injury health status and excess mortality in persons with traumatic brain injury: A decade-long historical cohort study. Preventive Medicine. 139. 106213–106213. 8 indexed citations
13.
Dupuis, Annie, et al.. (2019). A frequentist mixture modeling of stop signal reaction times. 3(1). 90–108. 4 indexed citations
14.
Xiong, Chen, Vincy Chan, Zheng Hu, et al.. (2019). Comorbidity in adults with traumatic brain injury and all-cause mortality: a systematic review. BMJ Open. 9(11). e029072–e029072. 33 indexed citations
15.
Mollayeva, Tatyana, et al.. (2019). Sex‐specific incident dementia in patients with central nervous system trauma. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 11(1). 355–367. 8 indexed citations
16.
Bozorgzadeh, Nezam, Michael Escobar, & J. P. Harrison. (2018). Comprehensive statistical analysis of intact rock strength for reliability-based design. International Journal of Rock Mechanics and Mining Sciences. 106. 374–387. 28 indexed citations
17.
Chan, Vincy, et al.. (2018). Neck Injury Comorbidity in Concussion-Related Emergency Department Visits: A Population-Based Study of Sex Differences Across the Life Span. Journal of Women s Health. 28(4). 473–482. 22 indexed citations
18.
Colantonio, Angela, Michael Escobar, Mary L. Chipman, et al.. (2008). Predictors of Postacute Mortality Following Traumatic Brain Injury in a Seriously Injured Population. The Journal of Trauma: Injury, Infection, and Critical Care. 64(4). 876–882. 68 indexed citations
19.
Chiavetta, Jo Anne, Michael Escobar, Alice Newman, et al.. (2003). Incidence and estimated rates of residual risk for HIV, hepatitis C, hepatitis B and human T-cell lymphotropic viruses in blood donors in Canada, 1990-2000.. PubMed Central. 169(8). 767–73. 102 indexed citations
20.
Escobar, Michael, et al.. (1994). Hierarchical priors and mixture models, with applications in regression and density estimation. 39 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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