Sören R. Künzel

967 citations
2 papers · 471 indexed · 1 hit paper · h-index 2
Topics
Statistical Methods and Inference (2 papers)Electoral Systems and Political Participation (1 paper)Data Analysis with R (1 paper)
Partner nations
United States

In The Last Decade

Sören R. Künzel

2 papers receiving 453 citations

Hit Papers

Metalearners for estimating heterogeneous treatment effec...20192026202120232019100200300400

Peers

Sören R. Künzel
Comparison fields: 5 of 106
  • Statistics and Probability 259
  • Economics and Econometrics 108
  • Artificial Intelligence 99
  • Management Science and Operations Research 36
  • Sociology and Political Science 26
Replace Toru Kitagawa with:
Toru Kitagawa United Kingdom
Xiangnan Feng China
Demián Pouzo United States
Vita Ratnasari Indonesia
Satkartar K. Kinney United States
Jörg Drechsler Germany
Imad Bou-Hamad Lebanon
Roel Verbelen Belgium
Claudio Conversano Italy
Sören R. Künzel relative to Toru Kitagawa United Kingdom Toru Kitagawa's profile →
Citations per field
00.5×2.7×
Toru Kitagawa · 1×
Citations per year

Countries citing papers authored by Sören R. Künzel

Since Specialization
Citations

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

Fields of papers citing papers by Sören R. Künzel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sören R. Künzel. 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 Sören R. Künzel. The network helps show where Sören R. Künzel may publish in the future.

Co-authorship network of co-authors of Sören R. Künzel

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

All Works

2 of 2 papers shown
#WorkIndexed citations
1 3
2
Metalearners for estimating heterogeneous treatment effects using machine learningbreakdown →
468

About Sören R. Künzel

Sören R. Künzel is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Political Science and International Relations, having authored 2 papers that have together received 471 indexed citations. Recurring topics across this work include Statistical Methods and Inference (2 papers), Electoral Systems and Political Participation (1 paper) and Data Analysis with R (1 paper). The work is most often cited by research in Statistics and Probability (259 citations), Economics and Econometrics (108 citations) and Artificial Intelligence (99 citations). Sören R. Künzel has collaborated with scholars based in United States. Frequent co-authors include Jasjeet S. Sekhon, Bin Yu and Peter J. Bickel. Their work appears in journals such as Proceedings of the National Academy of Sciences and Journal of Computational and Graphical 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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