Mauricio Tec

919 total citations
12 papers, 182 citations indexed

About

Mauricio Tec is a scholar working on Statistics and Probability, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Mauricio Tec has authored 12 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 3 papers in Economics and Econometrics and 2 papers in Artificial Intelligence. Recurrent topics in Mauricio Tec's work include Statistical Methods and Bayesian Inference (3 papers), COVID-19 epidemiological studies (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Mauricio Tec is often cited by papers focused on Statistical Methods and Bayesian Inference (3 papers), COVID-19 epidemiological studies (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Mauricio Tec collaborates with scholars based in United States, South Korea and South Sudan. Mauricio Tec's co-authors include James G. Scott, Randy B. Machemehl, Natalia Zuniga-Garcia, Catherine Aiken, Jennifer E. Starling, Abigail R.A. Aiken, Rebecca Gomperts, Spencer J. Fox, Lauren Ancel Meyers and Spencer Woody and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of the American Statistical Association.

In The Last Decade

Mauricio Tec

10 papers receiving 177 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mauricio Tec United States 6 52 50 41 31 30 12 182
Sully Márquez Ecuador 7 54 1.0× 32 0.6× 14 0.3× 13 0.4× 15 176
Anne Webb United Kingdom 11 278 5.3× 10 0.2× 32 0.8× 56 1.8× 3 0.1× 21 473
Yunhe Cui United States 6 11 0.2× 97 1.9× 14 0.3× 12 0.4× 6 237
Anwar Musah United Kingdom 9 56 1.1× 7 0.1× 12 0.3× 3 0.1× 28 235
Shelby L. Sturrock Canada 8 19 0.4× 28 0.6× 7 0.2× 1 0.0× 2 0.1× 19 208
Patience I. Adamu Nigeria 11 132 2.5× 2 0.0× 3 0.1× 1 0.0× 16 0.5× 24 307
Elizabeth Hamilton United States 7 15 0.3× 18 0.4× 11 0.3× 18 0.6× 24 203
Tazul Islam Malaysia 8 12 0.2× 27 0.5× 7 0.2× 11 0.4× 35 221

Countries citing papers authored by Mauricio Tec

Since Specialization
Citations

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

Fields of papers citing papers by Mauricio Tec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauricio Tec

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

All Works

12 of 12 papers shown
1.
Tec, Mauricio, et al.. (2025). A Bayesian active learning platform for scalable combination drug screens. Nature Communications. 16(1). 156–156. 5 indexed citations
2.
Tec, Mauricio. (2024). ROC Analysis for Classification and Prediction in Practice. Journal of the American Statistical Association. 120(549). 585–586. 3 indexed citations
3.
4.
Kim, Chanmin, Mauricio Tec, & Corwin Zigler. (2023). Bayesian Nonparametric Adjustment of Confounding. Biometrics. 79(4). 3252–3265.
5.
Tec, Mauricio, James G. Scott, & Corwin Zigler. (2023). Weather2vec: Representation Learning for Causal Inference with Non-local Confounding in Air Pollution and Climate Studies. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 14504–14513. 5 indexed citations
6.
Tec, Mauricio, et al.. (2022). Impact of the Timing of Stay-at-Home Orders and Mobility Reductions on First-Wave COVID-19 Deaths in US Counties. American Journal of Epidemiology. 191(5). 900–907. 6 indexed citations
7.
Zuniga-Garcia, Natalia, Mauricio Tec, James G. Scott, & Randy B. Machemehl. (2022). Evaluation of e-scooters as transit last-mile solution. Transportation Research Part C Emerging Technologies. 139. 103660–103660. 55 indexed citations
8.
Fox, Spencer J., Michael Lachmann, Mauricio Tec, et al.. (2022). Real-time pandemic surveillance using hospital admissions and mobility data. Proceedings of the National Academy of Sciences. 119(7). 33 indexed citations
9.
Müller, Peter, et al.. (2022). Simulation‐based sequential design. Pharmaceutical Statistics. 21(4). 729–739. 1 indexed citations
10.
Singh, Akash, et al.. (2021). Watch Where You’re Going! Gaze and Head Orientation as Predictors for Social Robot Navigation. 3553–3559. 13 indexed citations
11.
Aiken, Abigail R.A., Jennifer E. Starling, Rebecca Gomperts, et al.. (2020). Demand for Self-Managed Online Telemedicine Abortion in the United States During the Coronavirus Disease 2019 (COVID-19) Pandemic. Obstetrics and Gynecology. 136(4). 835–837. 60 indexed citations
12.
Williamson, Sinead A. & Mauricio Tec. (2018). Random clique covers for graphs with local density and global sparsity. Uncertainty in Artificial Intelligence. 228–238. 1 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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2026