Stephen C. Shiboski

1.9k citations
3 papers · 1.5k indexed · 2 hit papers · h-index 3
Topics
Bayesian Methods and Mixture Models (1 paper)Census and Population Estimation (1 paper)Statistical Methods and Bayesian Inference (1 paper)
Journals
Journal of the American Statistical AssociationCERN Document Server (European Organization for Nuclear Research)
Partner nations
United States

In The Last Decade

Stephen C. Shiboski

3 papers receiving 1.4k citations

Hit Papers

Regression Methods in Biostatistics: Linear, Logistic, Su...200620262012201920062012250500750

Peers

Stephen C. Shiboski
Comparison fields: 5 of 176
  • Epidemiology 207
  • General Health Professions 178
  • Public Health, Environmental and Occupational Health 144
  • Surgery 131
  • Pulmonary and Respiratory Medicine 129
Replace George Berry with:
George Berry United States
Say Beng Tan Singapore
Priya Ranganathan India
Maciej Liśkiewicz Germany
Peter W. G. Tennant United Kingdom
David A. Springate United Kingdom
Jean‐Baptist du Prel Germany
Benito van der Zander Germany
Kristin L. Sainani United States
Dean Langan United Kingdom
Stephen C. Shiboski relative to George Berry United States George Berry's profile →
Citations per field
00.5×1.5×2.4×
George Berry · 1×
Citations per year

Countries citing papers authored by Stephen C. Shiboski

Since Specialization
Citations

This map shows the geographic impact of Stephen C. Shiboski'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 Stephen C. Shiboski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen C. Shiboski more than expected).

Fields of papers citing papers by Stephen C. Shiboski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen C. Shiboski. 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 Stephen C. Shiboski. The network helps show where Stephen C. Shiboski may publish in the future.

Co-authorship network of co-authors of Stephen C. Shiboski

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen C. Shiboski. A scholar is included among the top collaborators of Stephen C. Shiboski 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 Stephen C. Shiboski. Stephen C. Shiboski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
#WorkIndexed citations
1
Regression Methods in Biostatisticsbreakdown →
481
2
Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Modelsbreakdown →
959
3 62

About Stephen C. Shiboski

Stephen C. Shiboski is a scholar working on Statistics and Probability, Artificial Intelligence and Infectious Diseases, having authored 3 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (1 paper), Census and Population Estimation (1 paper) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Statistics and Probability (100 citations), Health (62 citations) and General Health Professions (178 citations). Stephen C. Shiboski has collaborated with scholars based in United States. Frequent co-authors include David V. Glidden, Eric Vittinghoff, Charles E. McCulloch and Nicholas P. Jewell. Their work appears in journals such as Journal of the American Statistical Association and CERN Document Server (European Organization for Nuclear Research).

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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