Jay Schaffer

25 total papers · 662 total citations
13 papers, 478 citations indexed

About

Jay Schaffer is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Epidemiology. According to data from OpenAlex, Jay Schaffer has authored 13 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistics, Probability and Uncertainty, 5 papers in Statistics and Probability 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 Advanced Statistical Methods and Models (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 Advanced Statistical Methods and Models (2 papers). Jay Schaffer collaborates with scholars based in United States, United Kingdom and Germany. Jay Schaffer's co-authors include Myoung‐Jin Kim, Jamis J. Perrett, Daniel J. Mundfrom, Tamás Nepusz, Andrea Petróczi, Rolf Ulrich, Gen Kanayama, R. Dawn Comstock, Harrison G. Pope and Perikles Simon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sports Medicine and Journal of Thoracic Oncology.

In The Last Decade

Jay Schaffer

13 papers receiving 460 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jay Schaffer 143 105 99 83 57 13 478
Jos Dessens 74 0.5× 12 0.1× 37 0.4× 25 0.3× 12 0.2× 25 496
Abdulaziz Elfessi 84 0.6× 20 0.2× 76 0.8× 32 0.4× 9 0.2× 32 485
Brian T Keller 94 0.7× 28 0.3× 156 1.6× 4 0.0× 104 1.8× 19 545
David Afshartous 37 0.3× 9 0.1× 27 0.3× 33 0.4× 17 0.3× 20 453
Jasmin Divers 28 0.2× 21 0.2× 29 0.3× 18 0.2× 25 0.4× 9 480
Lynne K. Edwards 82 0.6× 17 0.2× 51 0.5× 7 0.1× 95 1.7× 16 495
Jason Grossman 37 0.3× 34 0.3× 32 0.3× 6 0.1× 92 1.6× 17 435
Ronald Schoenberg 80 0.6× 11 0.1× 64 0.6× 8 0.1× 21 0.4× 19 426
Miguel Ángel Montero Alonso 53 0.4× 11 0.1× 28 0.3× 28 0.3× 52 0.9× 39 510
Oscar L. Olvera Astivia 89 0.6× 12 0.1× 70 0.7× 3 0.0× 60 1.1× 23 457

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).

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.

Co-authorship network of co-authors of Jay Schaffer

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Schaffer. A scholar is included among the top collaborators of Jay Schaffer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jay Schaffer. Jay Schaffer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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
2026