John G. Kovar

4 papers and 209 indexed citations i.

About

John G. Kovar is a scholar working on Statistics and Probability, Sociology and Political Science and Management Science and Operations Research. According to data from OpenAlex, John G. Kovar has authored 4 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 1 paper in Sociology and Political Science and 1 paper in Management Science and Operations Research. Recurrent topics in John G. Kovar’s work include Statistical Methods and Bayesian Inference (4 papers), Survey Sampling and Estimation Techniques (2 papers) and Optimal Experimental Design Methods (1 paper). John G. Kovar is often cited by papers focused on Statistical Methods and Bayesian Inference (4 papers), Survey Sampling and Estimation Techniques (2 papers) and Optimal Experimental Design Methods (1 paper). John G. Kovar collaborates with scholars based in Canada. John G. Kovar's co-authors include J. N. K. Rao, Changbao Wu, Daniel Krewski and David A. Binder and has published in prestigious journals such as Biometrika, Canadian Journal of Statistics and Communications in Statistics - Simulation and Computation.

In The Last Decade

Co-authorship network of co-authors of John G. Kovar i

Fields of papers citing papers by John G. Kovar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John G. Kovar. 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 John G. Kovar. The network helps show where John G. Kovar may publish in the future.

Countries citing papers authored by John G. Kovar

Since Specialization
Citations

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

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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