Matt A. Taddy
Impact in
- General Social Sciences top 0.2%
- Computational and Text Analysis Methods
- Statistics and Probability top 2%
- Advanced Causal Inference Techniques
Papers in
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- Advanced Causal Inference Techniques 3
-
- Topic Modeling 2
- Sentiment Analysis and Opinion Mining 1
- Co-authors
- Matthew Aaron Gentzkow (3 shared papers)Bryan Kelly (1 shared paper)Jesse M. Shapiro (2 shared papers)Amit Seru (1 shared paper)Dimitris Papanikolaou (1 shared paper)Robert B. Gramacy (2 shared papers)Shane T. Jensen (1 shared paper)Greg Lewis (1 shared paper)
- Journals
- Journal of the American Statistical Association (2 papers)Technometrics (1 paper)Journal of Quantitative Analysis in Sports (1 paper)Bayesian Analysis (1 paper)Quantitative Economics (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Matt A. Taddy
18 papers receiving 1.4k citations
Matt A. Taddy's Hit Papers
Peers
Comparison fields: 5 of 69
- General Social Sciences 119
- Statistics and Probability 102
- Management of Technology and Innovation 50
- Finance 67
- Economics and Econometrics 136
Countries citing papers authored by Matt A. Taddy
This map shows the geographic impact of Matt A. 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 A. 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 A. Taddy more than expected).
Fields of papers citing papers by Matt A. Taddy
This network shows the impact of papers produced by Matt A. 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 A. Taddy. The network helps show where Matt A. Taddy may publish in the future.
Co-authors
The 25 scholars most cited alongside Matt A. Taddy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Text as Data Hit paper breakdown → | 2019 | 556 |
| 2 | 2019 | 177 | |
| 3 | Measuring Technological Innovation over the Long Run Hit paper breakdown → | 2021 | 158 |
| 4 | 2012 | 133 | |
| 5 | Deep IV:A flexible approach for counterfactual prediction | 2017 | 59 |
| 6 | 2013 | 47 | |
| 7 | 2016 | 47 | |
| 8 | 2010 | 42 | |
| 9 | 2015 | 42 | |
| 10 | 2017 | 37 | |
| 11 | Distributed Multinomial Regression | 2016 | 35 |
| 12 | 2013 | 32 | |
| 13 | Measuring Polarization in High-Dimensional Data: Method and Application to Congressional Speech | 2016 | 31 |
| 14 | 2019 | 20 | |
| 15 | 2017 | 16 | |
| 16 | 2016 | 13 | |
| 17 | 2023 | 10 | |
| 18 | 2013 | 3 | |
| 19 | Enhancing Parallel Pattern Search Optimization with a Gaussian Process Oracle | 2008 | 0 |
About Matt A. Taddy
Matt A. Taddy is a scholar working on Statistics and Probability, Artificial Intelligence, General Social Sciences, Management of Technology and Innovation and Management Science and Operations Research, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (3 papers), Topic Modeling (2 papers), Recommender Systems and Techniques (1 paper), Computational and Text Analysis Methods (1 paper), Intellectual Property and Patents (1 paper), Sentiment Analysis and Opinion Mining (1 paper), Sports Analytics and Performance (1 paper) and Simulation Techniques and Applications (1 paper). The work is most often cited by research in General Social Sciences (119 citations), Statistics and Probability (102 citations), Management of Technology and Innovation (50 citations), Finance (67 citations) and Economics and Econometrics (136 citations). Matt A. Taddy has collaborated with scholars based in United States and Canada. Frequent co-authors include Matthew Aaron Gentzkow, Bryan Kelly, Jesse M. Shapiro, Amit Seru, Dimitris Papanikolaou, Robert B. Gramacy, Shane T. Jensen, Greg Lewis, Kevin Leyton‐Brown and Liyun Chen. Their work appears in journals such as Journal of the American Statistical Association, Technometrics, Journal of Quantitative Analysis in Sports, Bayesian Analysis and Quantitative Economics.
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.