Daniel Berkowitz

42 papers receiving 1.6k citations

Daniel Berkowitz's Hit Papers

The Transplant Effect 2003 · 192 citations
1920+7+15Years since publication100200300400500

Peers

Daniel Berkowitz
Comparison fields: 5 of 75
  • Accounting 331
  • General Economics, Econometrics and Finance 252
  • Economics and Econometrics 633
  • Demography 185
  • Development 49
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Martin Raiser United Kingdom
Stephen H. Haber United States
Pierre‐Guillaume Méon Belgium
Guido de Blasio Italy
Yasheng Huang United States
Cheryl Xiaoning Long United States
James Foreman–Peck United Kingdom
Khalid Sekkat Belgium
Sam Bucovetsky Canada
Alberto F. Ades United States
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Countries citing papers authored by Daniel Berkowitz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Berkowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Berkowitz, 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 Daniel Berkowitz Line = papers co-authored together Daniel Berkowitz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Economic development, legality, and the transplant effect
Hit paper breakdown →
2003522
2
The Transplant Effect
Hit paper breakdown →
2003192
3 2006169
4 2016120
5 2015110
6 200590
7 200056
8 200654
9 201154
10 200350
11 199944
12 200532
13 201431
14 200829
15 201129
16 200327
17 199826
18 200623
19 201021
20 201020

About Daniel Berkowitz

Daniel Berkowitz is a scholar working on Political Science and International Relations, General Economics, Econometrics and Finance, Law, Economics and Econometrics and Statistics and Probability, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include Russia and Soviet political economy (13 papers), Post-Communist Economic and Political Transition (9 papers), Global trade and economics (4 papers), Judicial and Constitutional Studies (4 papers), Local Government Finance and Decentralization (3 papers), Regional Economics and Spatial Analysis (3 papers), Advanced Causal Inference Techniques (3 papers) and Law, Economics, and Judicial Systems (3 papers). The work is most often cited by research in Accounting (331 citations), General Economics, Econometrics and Finance (252 citations), Economics and Econometrics (633 citations), Demography (185 citations) and Development (49 citations). Daniel Berkowitz has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Katharina Pistor, Jean‐François Richard, David N. DeJong, Johannes Moenius, Chen Lin, Shuichiro Nishioka, Hong Ma, Karen B. Clay, Yue Ma and Mehmet Caner. Their work appears in journals such as Journal of Comparative Economics, Regional Science and Urban Economics, European Economic Review, The Review of Economics and Statistics and Economics Letters.

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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