Luke Miratrix

2.2k citations
62 papers · 1.2k indexed · h-index 16
Topics
Advanced Causal Inference Techniques (29 papers)Statistical Methods and Bayesian Inference (20 papers)Statistical Methods and Inference (17 papers)

In The Last Decade

Luke Miratrix

55 papers receiving 1.1k citations

Peers

Luke Miratrix
Comparison fields: 5 of 126
  • Statistics and Probability 418
  • Education 324
  • Sociology and Political Science 155
  • Economics and Econometrics 118
  • Artificial Intelligence 91
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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
#WorkIndexed citations
1 1
2 0
3 7
4 0
5 1
6 7
7 17
8 7
9 19
10 20
11 15
12 38
13 6
14
Promoting Domain-Specific Terms in Topic Models with Informative Priors.
1
15 22
16 1
17
Compared to What? Estimating Causal Effects for Latent Subgroups to Understand Variation in the Impacts of Head Start by Alternate Child Care Setting.
1
18 81
19
Learning Science for Teaching: Effects of Professional Development on Elementary Teachers, Classrooms, and Students.
2
20
Designing and assessing numeracy training for journalists: toward improving quantitative reasoning among media consumers
14

About Luke Miratrix

Luke Miratrix is a scholar working on Statistics and Probability, Health Informatics and Management Science and Operations Research, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (29 papers), Statistical Methods and Bayesian Inference (20 papers) and Statistical Methods and Inference (17 papers). The work is most often cited by research in Statistics and Probability (418 citations), Human-Computer Interaction (63 citations) and Education (324 citations). Luke Miratrix has collaborated with scholars based in United States, Australia and Italy. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Social Science & Medicine.

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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