David Kahle

14 papers and 1.5k indexed citations i.

About

David Kahle is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Kahle has authored 14 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Statistics and Probability and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in David Kahle’s work include Data Analysis with R (4 papers), Data Visualization and Analytics (3 papers) and Bayesian Modeling and Causal Inference (3 papers). David Kahle is often cited by papers focused on Data Analysis with R (4 papers), Data Visualization and Analytics (3 papers) and Bayesian Modeling and Causal Inference (3 papers). David Kahle collaborates with scholars based in United States. David Kahle's co-authors include Hadley Wickham, Leonardo Dueñas‐Osorio, Devika Subramanian, Robert M. Stein, Gary E. Stinchcomb, J. D. Tubbs, Steven G. Driese, Lee C. Nordt, Ruriko Yoshida and James D. Stamey and has published in prestigious journals such as International Journal of Environmental Research and Public Health, American Journal of Science and Journal of Statistical Software.

In The Last Decade

Co-authorship network of co-authors of David Kahle i

Fields of papers citing papers by David Kahle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by David Kahle

Since Specialization
Citations

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