Dan J. Spitzner

18 papers and 509 indexed citations i.

About

Dan J. Spitzner is a scholar working on Statistics and Probability, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Dan J. Spitzner has authored 18 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 5 papers in Artificial Intelligence and 2 papers in Cognitive Neuroscience. Recurrent topics in Dan J. Spitzner’s work include Advanced Statistical Methods and Models (6 papers), Statistical Methods and Inference (6 papers) and Statistical Methods and Bayesian Inference (5 papers). Dan J. Spitzner is often cited by papers focused on Advanced Statistical Methods and Models (6 papers), Statistical Methods and Inference (6 papers) and Statistical Methods and Bayesian Inference (5 papers). Dan J. Spitzner collaborates with scholars based in United States. Dan J. Spitzner's co-authors include William H. Woodall, Shilpa Gupta, Douglas C. Montgomery, Montserrat Fuentes, Greg K. Essick, Yun-Tae Kim, Richard L. Smith, J. S. Marron, J. Brooke Marshall and Srijan Sengupta and has published in prestigious journals such as Journal of the American Statistical Association, Statistics in Medicine and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Co-authorship network of co-authors of Dan J. Spitzner i

Fields of papers citing papers by Dan J. Spitzner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan J. Spitzner. 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 Dan J. Spitzner. The network helps show where Dan J. Spitzner may publish in the future.

Countries citing papers authored by Dan J. Spitzner

Since Specialization
Citations

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