Jay Schaffer

681 citations
13 papers · 509 · h-index 8

Impact in

Papers in

Jay Schaffer

13 papers receiving 488 citations

Peers

Jay Schaffer
Comparison fields: 5 of 130
  • Statistics, Probability and Uncertainty 109
  • Statistics and Probability 101
  • Medical Laboratory Technology 11
  • Applied Psychology 25
  • Endocrinology, Diabetes and Metabolism 76
Replace Abdulaziz Elfessi with:
Abdulaziz Elfessi United States
David J. Woodruff United States
David Afshartous United States
Gerko Vink Netherlands
Guido Gatti United States
Jos Dessens Netherlands
Taehoon Kang South Korea
Laurence E. Frank Netherlands
Francisca Galindo Garre Netherlands
Octavia Wong Canada
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Jay Schaffer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay Schaffer Line = papers co-authored together Jay Schaffer links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2017137
2
Bonferroni Adjustments in Tests for Regression Coefficients
2006119
3 201178
4 200762
5 201139
6 201131
7
Emotion-Focused Coping: A Primary Defense against Stress for People Living with Spinal Cord Injury
200815
8 202315
9 20174
10 20153
11 20203
12 20062
13 20181

About Jay Schaffer

Jay Schaffer is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Pharmacology, Radiological and Ultrasound Technology and Clinical Psychology, having authored 13 papers that have together received 509 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (5 papers), Scientific Measurement and Uncertainty Evaluation (4 papers), Advanced Statistical Methods and Models (2 papers), Multiple and Secondary Primary Cancers (1 paper), Diverse Scientific and Engineering Research (1 paper), Statistical Distribution Estimation and Applications (1 paper), Resilience and Mental Health (1 paper) and Family and Disability Support Research (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (109 citations), Statistics and Probability (101 citations), Medical Laboratory Technology (11 citations), Applied Psychology (25 citations) and Endocrinology, Diabetes and Metabolism (76 citations). Jay Schaffer has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Myoung‐Jin Kim, Daniel J. Mundfrom, Jamis J. Perrett, Andrea Petróczi, Tamás Nepusz, Harrison G. Pope, Rolf Ulrich, Perikles Simon, R. Dawn Comstock and Gen Kanayama. Their work appears in journals such as Journal of Thoracic Oncology, Sports Medicine, Substance Abuse Treatment Prevention and Policy, Journal of rehabilitation and Communications in Statistics - Simulation and Computation.

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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