Martin Beraja

1.2k total citations · 1 hit paper
16 papers, 430 citations indexed

About

Martin Beraja is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Political Science and International Relations. According to data from OpenAlex, Martin Beraja has authored 16 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Economics and Econometrics, 7 papers in General Economics, Econometrics and Finance and 3 papers in Political Science and International Relations. Recurrent topics in Martin Beraja's work include Monetary Policy and Economic Impact (6 papers), Economic Policies and Impacts (3 papers) and China's Socioeconomic Reforms and Governance (3 papers). Martin Beraja is often cited by papers focused on Monetary Policy and Economic Impact (6 papers), Economic Policies and Impacts (3 papers) and China's Socioeconomic Reforms and Governance (3 papers). Martin Beraja collaborates with scholars based in United States, United Kingdom and Switzerland. Martin Beraja's co-authors include Erik Hurst, Noam Yuchtman, Joseph Vavra, Andreas Fuster, David Y. Yang, Fernando Álvarez, Martín González‐Rozada, Pablo Andrés Neumeyer, Juan Ospina and David Y. Yang and has published in prestigious journals such as The Quarterly Journal of Economics, Journal of Political Economy and The Review of Economic Studies.

In The Last Decade

Martin Beraja

15 papers receiving 407 citations

Hit Papers

AI-tocracy 2023 2026 2024 2025 2023 10 20 30 40

Peers

Martin Beraja
Daniel Hoang Germany
Martin Beraja
Citations per year, relative to Martin Beraja Martin Beraja (= 1×) peers Daniel Hoang

Countries citing papers authored by Martin Beraja

Since Specialization
Citations

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

Fields of papers citing papers by Martin Beraja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Beraja

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Beraja. A scholar is included among the top collaborators of Martin Beraja 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 Martin Beraja. Martin Beraja is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Beraja, Martin, et al.. (2025). Government as Venture Capitalists in Artificial Intelligence. London School of Economics and Political Science Research Online (London School of Economics and Political Science). 4. 81–102.
2.
Beraja, Martin, et al.. (2024). Government as Venture Capitalists in AI. SSRN Electronic Journal. 2 indexed citations
3.
Adão, Rodrigo, Martin Beraja, & Nitya Pandalai-Nayar. (2024). Fast and Slow Technological Transitions. RePEc: Research Papers in Economics. 2(2). 183–227. 6 indexed citations
4.
Beraja, Martin, et al.. (2024). Inefficient Automation. The Review of Economic Studies. 92(1). 69–96. 2 indexed citations
5.
Beraja, Martin, et al.. (2023). AI-tocracy. The Quarterly Journal of Economics. 138(3). 1349–1402. 47 indexed citations breakdown →
6.
Beraja, Martin, et al.. (2023). Exporting the Surveillance State Via Trade in AI. SSRN Electronic Journal. 2 indexed citations
7.
Beraja, Martin, David Y. Yang, & Noam Yuchtman. (2022). Data-intensive Innovation and the State: Evidence from AI Firms in China. The Review of Economic Studies. 90(4). 1701–1723. 79 indexed citations
8.
Beraja, Martin. (2022). A Semistructural Methodology for Policy Counterfactuals. Journal of Political Economy. 131(1). 190–201. 4 indexed citations
9.
Beraja, Martin & Christian Wolf. (2021). Demand Composition and the Strength of Recoveries. SSRN Electronic Journal. 1 indexed citations
10.
Beraja, Martin, David Y. Yang, & Noam Yuchtman. (2020). Data-Intensive Innovation and the State: Evidence from Ai Firms in China. SSRN Electronic Journal. 7 indexed citations
11.
Adão, Rodrigo, Martin Beraja, & Nitya Pandalai-Nayar. (2019). Technological Transitions with Skill Heterogeneity Across Generations. SSRN Electronic Journal. 1 indexed citations
12.
Beraja, Martin, Andreas Fuster, Erik Hurst, & Joseph Vavra. (2018). Regional Heterogeneity and the Refinancing Channel of Monetary Policy*. The Quarterly Journal of Economics. 134(1). 109–183. 151 indexed citations
13.
Álvarez, Fernando, Martin Beraja, Martín González‐Rozada, & Pablo Andrés Neumeyer. (2018). From Hyperinflation to Stable Prices: Argentina’s Evidence on Menu Cost Models*. The Quarterly Journal of Economics. 134(1). 451–505. 83 indexed citations
14.
Beraja, Martin. (2017). Counterfactual Equivalence in Macroeconomics. RePEc: Research Papers in Economics. 2 indexed citations
15.
Beraja, Martin, Erik Hurst, & Juan Ospina. (2016). The Aggregate Implications of Regional Business Cycles. SSRN Electronic Journal. 38 indexed citations
16.
Beraja, Martin, Andreas Fuster, Erik Hurst, & Joseph Vavra. (2015). Regional Heterogeneity and Monetary Policy. SSRN Electronic Journal. 5 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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