John Staudenmayer

7.0k citations
102 papers · 5.1k indexed · 1 hit paper · h-index 40
Topics
Physical Activity and Health (54 papers)Obesity, Physical Activity, Diet (27 papers)Cardiovascular and exercise physiology (27 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationPLoS ONE

In The Last Decade

John Staudenmayer

101 papers receiving 4.9k citations

Hit Papers

Validation of Wearable Monitors for Assessing Sedentary B...20112026201620212011200400600

Peers

John Staudenmayer
Comparison fields: 5 of 173
  • Physiology 3.0k
  • Public Health, Environmental and Occupational Health 2.0k
  • General Health Professions 824
  • Complementary and alternative medicine 749
  • Computer Vision and Pattern Recognition 646
Replace Glen E. Duncan with:
Glen E. Duncan United States
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Kong Y. Chen United States
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John Staudenmayer relative to Glen E. Duncan United States Glen E. Duncan's profile →
Citations per field
00.5×5.7×
Glen E. Duncan · 1×
Citations per year

Countries citing papers authored by John Staudenmayer

Since Specialization
Citations

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

Fields of papers citing papers by John Staudenmayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Staudenmayer

This figure shows the co-authorship network connecting the top 25 collaborators of John Staudenmayer. A scholar is included among the top collaborators of John Staudenmayer 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 John Staudenmayer. John Staudenmayer 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 5
2 6
3 4
4 20
5 7
6 6
7 5
8 66
9 21
10 86
11 40
12 53
13 123
14 5
15 11
16 4
17 100
18 46
19 11
20
Self-modeling regression for multivariate curve data
8

About John Staudenmayer

John Staudenmayer is a scholar working on Complementary and alternative medicine, Physical Therapy, Sports Therapy and Rehabilitation and Physiology, having authored 102 papers that have together received 5.1k indexed citations. Recurring topics across this work include Physical Activity and Health (54 papers), Obesity, Physical Activity, Diet (27 papers) and Cardiovascular and exercise physiology (27 papers). The work is most often cited by research in Physiology (3.0k citations), Complementary and alternative medicine (749 citations) and Physical Therapy, Sports Therapy and Rehabilitation (346 citations). John Staudenmayer has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Patty S. Freedson, Kate Lyden, Sarah Kozey Keadle, David Pober, Sarah L. Kozey, Dinesh John, Sheldon Cohen, David R. Bassett, Scott E. Crouter and Cheryl A. Howe. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.

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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