Sue Leurgans

1.9k citations
21 papers · 858 indexed · h-index 11
Topics
Statistical Methods and Inference (4 papers)Bayesian Methods and Mixture Models (3 papers)Statistical Methods and Bayesian Inference (3 papers)
Partner nations
United StatesBrazil

In The Last Decade

Sue Leurgans

21 papers receiving 810 citations

Peers

Sue Leurgans
Comparison fields: 5 of 85
  • Surgery 455
  • Statistics and Probability 120
  • Pediatrics, Perinatology and Child Health 113
  • Mechanical Engineering 97
  • Materials Chemistry 53
Replace J. A. Hodgdon with:
J. A. Hodgdon United States
Janet Hughes United Kingdom
William D. Bushnell United States
Kota Suzuki Japan
Patricia A. Fitzpatrick United States
Joan E. Edelstein United States
Judit Takacs Canada
Johannes Lütz Germany
Emily Kraus United States
Brian Gordon United States
Sue Leurgans relative to J. A. Hodgdon United States J. A. Hodgdon's profile →
Citations per field
00.5×10.9×
J. A. Hodgdon · 1×
Citations per year

Countries citing papers authored by Sue Leurgans

Since Specialization
Citations

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

Fields of papers citing papers by Sue Leurgans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sue Leurgans

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 18
3 1
4 37
5 9
6 4
7 9
8 452
9 37
10 25
11 6
12 67
13 27
14 24
15 75
16 1
17 8
18 14
19 23
20 10

About Sue Leurgans

Sue Leurgans is a scholar working on Statistics and Probability, Physical Therapy, Sports Therapy and Rehabilitation and Cognitive Neuroscience, having authored 21 papers that have together received 858 indexed citations. Recurring topics across this work include Statistical Methods and Inference (4 papers), Bayesian Methods and Mixture Models (3 papers) and Statistical Methods and Bayesian Inference (3 papers). The work is most often cited by research in Statistics and Probability (120 citations), Surgery (455 citations) and Metals and Alloys (21 citations). Sue Leurgans has collaborated with scholars based in United States and Brazil. Frequent co-authors include Jeremy L. Gilbert, Joshua J. Jacobs, Wayne G. Paprosky, Jay R. Goldberg, Thomas W. Bauer, Barbara Luke, Wei‐Yann Tsai, John Crowley, Harold R. Bigger and Debra L. Sietsema. Their work appears in journals such as Journal of the American Statistical Association, American Journal of Public Health and American Journal of Obstetrics and Gynecology.

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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