Tyler H. McCormick
- Artificial Intelligence top 2%
- Sociology and Political Science top 5%
- Epidemiology
- Statistical and Nonlinear Physics top 5%
- General Health Professions top 10%
- Co-authors
- Cynthia RudinDavid MadiganBenjamin LethamTian ZhengHedwig LeeNina CesareEmma S. SpiroMatthew Salganik
- Topics
- Complex Network Analysis Techniques (18 papers)HIV, Drug Use, Sexual Risk (7 papers)Rough Sets and Fuzzy Logic (6 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of the American Statistical Association
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
Tyler H. McCormick
58 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Artificial Intelligence 554
- Sociology and Political Science 541
- Epidemiology 204
- Statistical and Nonlinear Physics 202
- General Health Professions 165
Countries citing papers authored by Tyler H. McCormick
This map shows the geographic impact of Tyler H. McCormick'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 Tyler H. McCormick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler H. McCormick more than expected).
Fields of papers citing papers by Tyler H. McCormick
This network shows the impact of papers produced by Tyler H. McCormick. 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 Tyler H. McCormick. The network helps show where Tyler H. McCormick may publish in the future.
Co-authorship network of co-authors of Tyler H. McCormick
This figure shows the co-authorship network connecting the top 25 collaborators of Tyler H. McCormick. A scholar is included among the top collaborators of Tyler H. McCormick 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 Tyler H. McCormick. Tyler H. McCormick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 10 | |
| 7 | 2 | |
| 8 | 16 | |
| 9 | 9 | |
| 10 | 6 | |
| 11 | 32 | |
| 12 | 72 | |
| 13 | 4 | |
| 14 | Consistency, Calibration, and Efficiency of Variational Inference | 1 |
| 15 | 42 | |
| 16 | 27 | |
| 17 | Predicting power failures with reactive point processes | 2 |
| 18 | 11 | |
| 19 | 182 | |
| 20 | 60 |
About Tyler H. McCormick
Tyler H. McCormick is a scholar working on Statistics and Probability, Statistical and Nonlinear Physics and General Social Sciences, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (18 papers), HIV, Drug Use, Sexual Risk (7 papers) and Rough Sets and Fuzzy Logic (6 papers). The work is most often cited by research in Health Informatics (51 citations), Health Information Management (81 citations) and Artificial Intelligence (554 citations). Tyler H. McCormick has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Cynthia Rudin, David Madigan, Benjamin Letham, Tian Zheng, Hedwig Lee, Nina Cesare, Emma S. Spiro, Matthew Salganik, Andrew Gelman and Thomas A. DiPrete. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications 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.