Jay Schaffer

12 papers and 338 indexed citations i.

About

Jay Schaffer is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Epidemiology. According to data from OpenAlex, Jay Schaffer has authored 12 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics and Probability, 5 papers in Statistics, Probability and Uncertainty and 2 papers in Epidemiology. Recurrent topics in Jay Schaffer’s work include Advanced Statistical Process Monitoring (5 papers), Scientific Measurement and Uncertainty Evaluation (4 papers) and Survey Sampling and Estimation Techniques (2 papers). Jay Schaffer is often cited by papers focused on Advanced Statistical Process Monitoring (5 papers), Scientific Measurement and Uncertainty Evaluation (4 papers) and Survey Sampling and Estimation Techniques (2 papers). Jay Schaffer collaborates with scholars based in United States, United Kingdom and Germany. Jay Schaffer's co-authors include Myoung‐Jin Kim, Tamás Nepusz, Andrea Petróczi, Rolf Ulrich, Perikles Simon, Harrison G. Pope, Gen Kanayama, R. Dawn Comstock, Dale J. Shaw and Nawed Deshmukh and has published in prestigious journals such as Sports Medicine, Journal of Thoracic Oncology and Substance Abuse Treatment Prevention and Policy.

In The Last Decade

Co-authorship network of co-authors of Jay Schaffer i

Fields of papers citing papers by Jay Schaffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jay Schaffer

Since Specialization
Citations

This map shows the geographic impact of Jay Schaffer'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 Jay Schaffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Schaffer 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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2025