Matt Taddy

3.7k citations
24 papers · 1.6k · 3 hit papers · h-index 14

Impact in

Papers in

    • Topic Modeling 3
    • Text and Document Classification Technologies 3
    • Bayesian Methods and Mixture Models 3
    • Statistical Methods and Inference 7
    • Advanced Causal Inference Techniques 4
    • Statistical Methods and Bayesian Inference 3

Matt Taddy

23 papers receiving 1.5k citations

Matt Taddy's Hit Papers

Measuring Technological Innovation over the Long Run 2021 · 184 citations
1840+2+4Years since publication100200300400500

Peers

Matt Taddy
Comparison fields: 5 of 115
  • General Social Sciences 178
  • Economics and Econometrics 578
  • Finance 179
  • Statistics and Probability 128
  • Management Science and Operations Research 194
Replace Bryan Routledge with:
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Timm O. Sprenger Germany
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Matt Taddy relative to Bryan Routledge United States Bryan Routledge's profile →
Citations per field
00.5×10×16×
Bryan Routledge · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Matt Taddy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matt Taddy Line = papers co-authored together Matt Taddy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Text as Data
Hit paper breakdown →
2019599
2
Measuring Group Differences in High‐Dimensional Choices: Method and Application to Congressional Speech
Hit paper breakdown →
2019202
3
Measuring Technological Innovation over the Long Run
Hit paper breakdown →
2021184
4 2012144
5 201891
6
Deep IV: a flexible approach for counterfactual prediction
201748
7 201646
8 201345
9
Distributed Multinomial Regression
201641
10 201036
11 201335
12
Measuring Polarization in High-Dimensional Data: Method and Application to Congressional Speech
201632
13 201730
14 201619
15
Orthogonal Machine Learning for Demand Estimation: High Dimensional Causal Inference in Dynamic Panels
201712
16 201712
17 20239
18 20134
19
Heterogeneous Treatment Effects in Digital Experimentation
20143
20
The Gamma Lasso
20132

About Matt Taddy

Matt Taddy is a scholar working on Artificial Intelligence, Statistics and Probability, Economics and Econometrics, Statistics, Probability and Uncertainty and Sociology and Political Science, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (7 papers), Advanced Causal Inference Techniques (4 papers), Media Influence and Politics (3 papers), Statistical Methods and Bayesian Inference (3 papers), Computational and Text Analysis Methods (3 papers), Topic Modeling (3 papers), Text and Document Classification Technologies (3 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in General Social Sciences (178 citations), Economics and Econometrics (578 citations), Finance (179 citations), Statistics and Probability (128 citations) and Management Science and Operations Research (194 citations). Matt Taddy has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Matthew Gentzkow, Bryan Kelly, Jesse M. Shapiro, Amit Seru, Dimitris Papanikolaou, Bryan T. Kelly, Robert B. Gramacy, Shane T. Jensen, Matt Gardner and Kevin Leyton‐Brown. Their work appears in journals such as Journal of the American Statistical Association, Quantitative Economics, Technometrics, Bayesian Analysis and Journal of Business and Economic Statistics.

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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