Robert Kubinec

66 total papers · 1.1k total citations
22 papers, 575 citations indexed

About

Robert Kubinec is a scholar working on Sociology and Political Science, Economics and Econometrics and Modeling and Simulation. According to data from OpenAlex, Robert Kubinec has authored 22 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Sociology and Political Science, 8 papers in Economics and Econometrics and 5 papers in Modeling and Simulation. Recurrent topics in Robert Kubinec's work include COVID-19 epidemiological studies (5 papers), Political Influence and Corporate Strategies (4 papers) and COVID-19 Pandemic Impacts (4 papers). Robert Kubinec is often cited by papers focused on COVID-19 epidemiological studies (5 papers), Political Influence and Corporate Strategies (4 papers) and COVID-19 Pandemic Impacts (4 papers). Robert Kubinec collaborates with scholars based in United States, United Arab Emirates and Germany. Robert Kubinec's co-authors include Cindy Cheng, Joan Barceló, Luca Messerschmidt, Jonathan Kropko, Allison Spencer Hartnett, John M. Owen, Tim Büthe, Sharan Grewal, David Francis and Helen V. Milner and has published in prestigious journals such as PLoS ONE, World Politics and Scientific Data.

In The Last Decade

Robert Kubinec

20 papers receiving 556 citations

Hit Papers

COVID-19 Government Respo... 2020 2026 2022 2024 2020 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Robert Kubinec 192 147 145 77 60 22 575
Joan Barceló 186 1.0× 160 1.1× 210 1.4× 128 1.7× 86 1.4× 38 615
Charlie H. Zhang 100 0.5× 125 0.9× 221 1.5× 39 0.5× 63 1.1× 36 624
Ben Oppenheim 87 0.5× 123 0.8× 263 1.8× 63 0.8× 47 0.8× 23 593
Austin L. Wright 192 1.0× 198 1.3× 305 2.1× 107 1.4× 90 1.5× 41 595
Lorena Barberia 154 0.8× 151 1.0× 203 1.4× 70 0.9× 70 1.2× 49 646
Thanh-Hang Pham 126 0.7× 92 0.6× 157 1.1× 17 0.2× 80 1.3× 23 514
David K. Jones 194 1.0× 118 0.8× 110 0.8× 61 0.8× 110 1.8× 52 694
Jianxing Yu 124 0.6× 58 0.4× 294 2.0× 194 2.5× 40 0.7× 30 614
M. Keith Chen 114 0.6× 47 0.3× 186 1.3× 30 0.4× 29 0.5× 16 523
Asha Herten-Crabb 81 0.4× 49 0.3× 122 0.8× 18 0.2× 90 1.5× 15 532

Countries citing papers authored by Robert Kubinec

Since Specialization
Citations

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

Fields of papers citing papers by Robert Kubinec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Kubinec

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

All Works

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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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