Matt Taddy

3.5k total citations · 3 hit papers
23 papers, 1.5k citations indexed

About

Matt Taddy is a scholar working on Artificial Intelligence, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Matt Taddy has authored 23 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 10 papers in Statistics and Probability and 4 papers in Economics and Econometrics. Recurrent topics in Matt Taddy's work include Statistical Methods and Inference (7 papers), Advanced Causal Inference Techniques (4 papers) and Statistical Methods and Bayesian Inference (3 papers). Matt Taddy is often cited by papers focused on Statistical Methods and Inference (7 papers), Advanced Causal Inference Techniques (4 papers) and Statistical Methods and Bayesian Inference (3 papers). Matt Taddy collaborates with scholars based in United States, Canada and United Kingdom. Matt Taddy's co-authors include Matthew Gentzkow, Bryan Kelly, Jesse M. Shapiro, Dimitris Papanikolaou, Amit Seru, Bryan T. Kelly, Robert B. Gramacy, Shane T. Jensen, Kevin Leyton‐Brown and Liyun Chen and has published in prestigious journals such as Journal of the American Statistical Association, Econometrica and Technometrics.

In The Last Decade

Matt Taddy

22 papers receiving 1.4k citations

Hit Papers

Text as Data 2019 2026 2021 2023 2019 2019 2021 100 200 300 400 500

Peers

Matt Taddy
Comparison fields: 5 of 117
  • Economics and Econometrics 559
  • Sociology and Political Science 364
  • Artificial Intelligence 287
  • Management Science and Operations Research 187
  • Finance 175
Replace Bryan Routledge with:
Bryan Routledge United States
Timm O. Sprenger Germany
Kevin M. Quinn United States
Michael Parkin United States
Peter Abell United Kingdom
Kevin D. Hoover United States
Will Lowe United Kingdom
Trevor Williams Australia
Sean Gerrish United States
Thomas A. Rietz United States
Bryan Routledge United States View profile →
Citations per field, relative to Matt Taddy
Matt Taddy · 1×
Citations per year, relative to Matt Taddy
Matt Taddy · 1×

Countries citing papers authored by Matt Taddy

Since Specialization
Citations

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

Fields of papers citing papers by Matt Taddy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matt Taddy

This figure shows the co-authorship network connecting the top 25 collaborators of Matt Taddy. A scholar is included among the top collaborators of Matt Taddy 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 Matt Taddy. Matt Taddy 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
# Work Indexed citations
1 9
2
Measuring Technological Innovation over the Long Run breakdown →
166
3
Text as Data breakdown →
575
4 91
5
Orthogonal Machine Learning for Demand Estimation: High Dimensional Causal Inference in Dynamic Panels
10
6 12
7 30
8
Deep IV: a flexible approach for counterfactual prediction
48
9 1
10
Measuring Polarization in High-Dimensional Data: Method and Application to Congressional Speech
32
11
Semi-parametric inference for the means of heavy-tailed distributions
1
12 19
13 41
14
Heterogeneous Treatment Effects in Digital Experimentation
3
15
The Gamma Lasso
1
16 44
17 3
18
Design and Analysis of a Text Mining Experiment
1
19 140
20 35

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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