Mauricio Tec
Impact in
- Transportation top 10%
- Urban Transport and Accessibility
- Transportation Planning and Optimization
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Statistical Methods and Bayesian Inference 3
- Advanced Causal Inference Techniques 2
-
- Health Systems, Economic Evaluations, Quality of Life 2
- Co-authors
- James G. Scott (4 shared papers)Randy B. Machemehl (1 shared paper)Natalia Zuniga-Garcia (1 shared paper)Abigail R.A. Aiken (1 shared paper)Jennifer E. Starling (1 shared paper)Catherine Aiken (1 shared paper)Rebecca Gomperts (1 shared paper)Peter Stone (2 shared papers)
- Journals
- Pharmaceutical Statistics (1 paper)Transportation Research Part C Emerging Technologies (1 paper)Biometrics (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of the American Statistical Association (1 paper)
- Partner nations
- United StatesHong KongSouth Sudan
In The Last Decade
Mauricio Tec
12 papers receiving 193 citations
Peers
Comparison fields: 5 of 67
- Transportation 54
- Modeling and Simulation 25
- Automotive Engineering 44
- Obstetrics and Gynecology 15
- Building and Construction 31
Countries citing papers authored by Mauricio Tec
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
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-authors
The 25 scholars most cited alongside Mauricio Tec, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 62 | |
| 2 | 2020 | 61 | |
| 3 | 2022 | 34 | |
| 4 | 2021 | 14 | |
| 5 | 2025 | 7 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 6 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 1 | |
| 12 | Random clique covers for graphs with local density and global sparsity | 2018 | 1 |
| 13 | 2026 | 0 | |
| 14 | 2024 | 0 |
About Mauricio Tec
Mauricio Tec is a scholar working on Statistics and Probability, Economics and Econometrics, Artificial Intelligence, Modeling and Simulation and Molecular Biology, having authored 14 papers that have together received 199 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (3 papers), Advanced Causal Inference Techniques (2 papers), COVID-19 epidemiological studies (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Transportation and Mobility Innovations (1 paper), Smart Parking Systems Research (1 paper), Evacuation and Crowd Dynamics (1 paper) and COVID-19 Digital Contact Tracing (1 paper). The work is most often cited by research in Transportation (54 citations), Modeling and Simulation (25 citations), Automotive Engineering (44 citations), Obstetrics and Gynecology (15 citations) and Building and Construction (31 citations). Mauricio Tec has collaborated with scholars based in United States, Hong Kong and South Sudan. Frequent co-authors include James G. Scott, Randy B. Machemehl, Natalia Zuniga-Garcia, Abigail R.A. Aiken, Jennifer E. Starling, Catherine Aiken, Rebecca Gomperts, Peter Stone, Lauren Ancel Meyers and Spencer J. Fox. Their work appears in journals such as Pharmaceutical Statistics, Transportation Research Part C Emerging Technologies, Biometrics, Proceedings of the National Academy of Sciences and Journal of the American Statistical Association.
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.