Luke Miratrix

2.2k total citations
62 papers, 1.2k citations indexed

About

Luke Miratrix is a scholar working on Statistics and Probability, Education and Artificial Intelligence. According to data from OpenAlex, Luke Miratrix has authored 62 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Statistics and Probability, 14 papers in Education and 9 papers in Artificial Intelligence. Recurrent topics in Luke Miratrix's work include Advanced Causal Inference Techniques (29 papers), Statistical Methods and Bayesian Inference (20 papers) and Statistical Methods and Inference (17 papers). Luke Miratrix is often cited by papers focused on Advanced Causal Inference Techniques (29 papers), Statistical Methods and Bayesian Inference (20 papers) and Statistical Methods and Inference (17 papers). Luke Miratrix collaborates with scholars based in United States, Australia and Italy. Luke Miratrix's co-authors include Avi Feller, Peng Ding, Peng Ding, Jasjeet S. Sekhon, Bin Yu, Nicole Wong, Joan I. Heller, Kirsten R. Daehler, Tom Yeh and Jenny Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Social Science & Medicine.

In The Last Decade

Luke Miratrix

55 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luke Miratrix United States 16 418 324 155 118 91 62 1.2k
Reinhold Hatzinger Austria 13 188 0.4× 77 0.2× 88 0.6× 133 1.1× 86 0.9× 38 933
Haiyan Bai United States 18 135 0.3× 530 1.6× 177 1.1× 54 0.5× 70 0.8× 52 1.3k
Iddo Gal Israel 22 1.6k 3.9× 1.2k 3.7× 169 1.1× 63 0.5× 246 2.7× 64 2.5k
Theodore Micceri United States 6 612 1.5× 79 0.2× 77 0.5× 68 0.6× 92 1.0× 21 1.2k
Claus H. Carstensen Germany 20 167 0.4× 393 1.2× 189 1.2× 74 0.6× 46 0.5× 53 1.1k
Rolf Langeheine Germany 15 386 0.9× 182 0.6× 235 1.5× 149 1.3× 211 2.3× 37 1.4k
Andrew Ho United States 23 112 0.3× 1.2k 3.7× 220 1.4× 44 0.4× 294 3.2× 82 2.5k
María Pampaka United Kingdom 16 52 0.1× 466 1.4× 159 1.0× 40 0.3× 63 0.7× 67 960
Saima Ghazal Pakistan 8 72 0.2× 41 0.1× 170 1.1× 99 0.8× 67 0.7× 19 836
David Pratt United Kingdom 19 431 1.0× 699 2.2× 111 0.7× 20 0.2× 34 0.4× 96 1.2k

Countries citing papers authored by Luke Miratrix

Since Specialization
Citations

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

Fields of papers citing papers by Luke Miratrix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luke Miratrix

This figure shows the co-authorship network connecting the top 25 collaborators of Luke Miratrix. A scholar is included among the top collaborators of Luke Miratrix 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 Luke Miratrix. Luke Miratrix 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.
Miratrix, Luke, et al.. (2025). More power to you: Using machine learning to augment human coding for more efficient inference in text-based randomized trials. The Annals of Applied Statistics. 19(1). 1 indexed citations
2.
Miratrix, Luke, et al.. (2025). Item-Level Heterogeneity in Value Added Models: Implications for Reliability, Cross-Study Comparability, and Effect Sizes. Journal of Educational and Behavioral Statistics.
3.
Ham, Dae-Woong & Luke Miratrix. (2024). Benefits and costs of matching prior to a difference in differences analysis when parallel trends does not hold. The Annals of Applied Statistics. 18(3). 7 indexed citations
4.
Keele, Luke, et al.. (2023). A Software Tutorial for Matching in Clustered Observational Studies. 9(4). 73–96.
5.
Miratrix, Luke, et al.. (2023). Designing experiments toward shrinkage estimation. Electronic Journal of Statistics. 17(2). 1 indexed citations
6.
Gagnon-Bartsch, Johann A., Adam Sales, Edward Ming‐Yang Wu, et al.. (2023). Precise unbiased estimation in randomized experiments using auxiliary observational data. SHILAP Revista de lepidopterología. 11(1). 7 indexed citations
7.
8.
Basse, Guillaume, et al.. (2021). Conditional as-if analyses in randomized experiments. SHILAP Revista de lepidopterología. 7 indexed citations
9.
Miratrix, Luke, et al.. (2021). An Applied Researcher’s Guide to Estimating Effects from Multisite Individually Randomized Trials: Estimands, Estimators, and Estimates. Journal of Research on Educational Effectiveness. 14(1). 270–308. 19 indexed citations
10.
Cuartas, Jorge, et al.. (2021). Changes in Children's Behavioral Health and Family Well-Being During the COVID-19 Pandemic. Journal of Developmental & Behavioral Pediatrics. 43(3). 168–175. 20 indexed citations
11.
Schochet, Peter Z., et al.. (2021). Design-Based Ratio Estimators and Central Limit Theorems for Clustered, Blocked RCTs. Figshare. 15 indexed citations
12.
Jay, Jonathan, Luke Miratrix, Charles C. Branas, Marc A. Zimmerman, & David Hemenway. (2019). Urban building demolitions, firearm violence and drug crime. Journal of Behavioral Medicine. 42(4). 626–634. 38 indexed citations
13.
Miratrix, Luke, et al.. (2019). Randomization Tests that Condition on Non-Categorical Covariate Balance. SHILAP Revista de lepidopterología. 7(1). 6 indexed citations
14.
Fan, Angela, Finale Doshi‐Velez, & Luke Miratrix. (2017). Promoting Domain-Specific Terms in Topic Models with Informative Priors.. arXiv (Cornell University). 1 indexed citations
15.
Ding, Peng, Xinran Li, & Luke Miratrix. (2017). Bridging Finite and Super Population Causal Inference. SHILAP Revista de lepidopterología. 5(2). 22 indexed citations
16.
Ding, Peng & Luke Miratrix. (2015). Reply to Professor Pearl’s Comment. SHILAP Revista de lepidopterología. 3(2). 251–252. 1 indexed citations
17.
Feller, Avi, Todd Grindal, Luke Miratrix, & Lindsay C. Page. (2014). Compared to What? Estimating Causal Effects for Latent Subgroups to Understand Variation in the Impacts of Head Start by Alternate Child Care Setting.. Society for Research on Educational Effectiveness. 1 indexed citations
18.
Ding, Peng & Luke Miratrix. (2014). To Adjust or Not to Adjust? Sensitivity Analysis of M -Bias and Butterfly-Bias. SHILAP Revista de lepidopterología. 3(1). 41–57. 81 indexed citations
19.
Heller, Joan I., et al.. (2010). Learning Science for Teaching: Effects of Professional Development on Elementary Teachers, Classrooms, and Students.. Society for Research on Educational Effectiveness. 2 indexed citations
20.
Ranney, Michael, Luke Rinne, Louise Yarnall, et al.. (2008). Designing and assessing numeracy training for journalists: toward improving quantitative reasoning among media consumers. eScholarship (California Digital Library). 246–253. 14 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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