Damian Kozbur

402 total citations
10 papers, 185 citations indexed

About

Damian Kozbur is a scholar working on Statistics and Probability, General Economics, Econometrics and Finance and Economics and Econometrics. According to data from OpenAlex, Damian Kozbur has authored 10 papers receiving a total of 185 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 2 papers in General Economics, Econometrics and Finance and 2 papers in Economics and Econometrics. Recurrent topics in Damian Kozbur's work include Statistical Methods and Inference (6 papers), Statistical Methods and Bayesian Inference (4 papers) and Advanced Causal Inference Techniques (2 papers). Damian Kozbur is often cited by papers focused on Statistical Methods and Inference (6 papers), Statistical Methods and Bayesian Inference (4 papers) and Advanced Causal Inference Techniques (2 papers). Damian Kozbur collaborates with scholars based in Switzerland, United States and Mexico. Damian Kozbur's co-authors include Christian Hansen, Alexandre Belloni, Victor Chernozhukov, Dmitri V. Zaykin, Sanjog Misra, Roxane D. Staiger, Milo A. Puhan, Philipp Dutkowski, Sarah R. Haile and Anja Domenghino and has published in prestigious journals such as The Review of Economics and Statistics, Journal of Econometrics and Journal of Business and Economic Statistics.

In The Last Decade

Damian Kozbur

8 papers receiving 177 citations

Peers

Damian Kozbur
Comparison fields: 5 of 67
  • Economics and Econometrics 71
  • Statistics and Probability 53
  • General Economics, Econometrics and Finance 30
  • Genetics 21
  • Sociology and Political Science 15
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Hugo A. Keuzenkamp Netherlands
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T. M. Brown United States
Sukjin Han United States
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Anna Mikusheva United States
Matthias Degen Switzerland
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Citations per field, relative to Damian Kozbur
Damian Kozbur · 1×
Citations per year, relative to Damian Kozbur
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Countries citing papers authored by Damian Kozbur

Since Specialization
Citations

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

Fields of papers citing papers by Damian Kozbur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damian Kozbur

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 4
5 3
6 2
7 2
8 94
9 57
10 22

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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