Ross Kindermann

6 papers and 690 indexed citations i.

About

Ross Kindermann is a scholar working on Artificial Intelligence, Statistics and Probability and Sociology and Political Science. According to data from OpenAlex, Ross Kindermann has authored 6 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Statistics and Probability and 1 paper in Sociology and Political Science. Recurrent topics in Ross Kindermann’s work include Bayesian Methods and Mixture Models (3 papers), Statistical Distribution Estimation and Applications (3 papers) and Complex Network Analysis Techniques (1 paper). Ross Kindermann is often cited by papers focused on Bayesian Methods and Mixture Models (3 papers), Statistical Distribution Estimation and Applications (3 papers) and Complex Network Analysis Techniques (1 paper). Ross Kindermann collaborates with scholars based in United States. Ross Kindermann's co-authors include J. Laurie Snell, V. N. LaRiccia and Martin S. Levy and has published in prestigious journals such as The Annals of Probability, Statistics & Probability Letters and Journal of Mathematical Sociology.

In The Last Decade

Co-authorship network of co-authors of Ross Kindermann i

Fields of papers citing papers by Ross Kindermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ross Kindermann

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025