R. Barker Bausell

2.5k citations
82 papers · 1.9k indexed · h-index 21
Topics
Complementary and Alternative Medicine Studies (8 papers)Meta-analysis and systematic reviews (6 papers)Evaluation of Teaching Practices (4 papers)

In The Last Decade

R. Barker Bausell

77 papers receiving 1.7k citations

Peers

R. Barker Bausell
Comparison fields: 5 of 175
  • General Health Professions 417
  • Complementary and alternative medicine 356
  • Experimental and Cognitive Psychology 270
  • Health, Toxicology and Mutagenesis 217
  • Cognitive Neuroscience 182
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Gunnar Ahlborg Sweden
Mary Koithan United States
Yvonne Michel United States
Susan Bauer‐Wu United States
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Raphael M. Herr Germany
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Citations per field
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Citations per year

Countries citing papers authored by R. Barker Bausell

Since Specialization
Citations

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

Fields of papers citing papers by R. Barker Bausell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Barker Bausell. 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 R. Barker Bausell. The network helps show where R. Barker Bausell may publish in the future.

Co-authorship network of co-authors of R. Barker Bausell

This figure shows the co-authorship network connecting the top 25 collaborators of R. Barker Bausell. A scholar is included among the top collaborators of R. Barker Bausell 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 R. Barker Bausell. R. Barker Bausell 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
The Problem with Science: The Reproducibility Crisis and What to do About It
3
2 20
3 34
4 20
5 0
6 52
7 8
8 43
9 18
10 182
11 35
12 3
13 41
14 36
15 12
16 16
17 27
18 5
19 9
20 1

About R. Barker Bausell

R. Barker Bausell is a scholar working on Complementary and alternative medicine, Theoretical Computer Science and Statistics, Probability and Uncertainty, having authored 82 papers that have together received 1.9k indexed citations. Recurring topics across this work include Complementary and Alternative Medicine Studies (8 papers), Meta-analysis and systematic reviews (6 papers) and Evaluation of Teaching Practices (4 papers). The work is most often cited by research in Complementary and alternative medicine (356 citations), Experimental and Cognitive Psychology (270 citations) and Research and Theory (15 citations). R. Barker Bausell has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Brian Berman, Wenlin Lee, Yufang Li, Steven M. Scharf, Alison M. Trinkoff, Jeanne Geiger‐Brown, Valerie E. Rogers, Robert L Kane, Karen L. Soeken and Lixing Lao. Their work appears in journals such as Neurology, Environmental Health Perspectives and Journal of Clinical Epidemiology.

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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