John J. Beauchamp

86 papers receiving 3.7k citations

Hit Papers

Applied Multivariate Statistical Analysis1983202619972011198319884008001.2k

Peers

John J. Beauchamp
Comparison fields: 5 of 218
  • Statistics and Probability 746
  • Health, Toxicology and Mutagenesis 644
  • Artificial Intelligence 584
  • Nature and Landscape Conservation 434
  • Ecology 387
Replace Kenneth J. Berry with:
Kenneth J. Berry United States
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John J. Beauchamp relative to Kenneth J. Berry United States Kenneth J. Berry's profile →
Citations per field
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Citations per year

Countries citing papers authored by John J. Beauchamp

Since Specialization
Citations

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

Fields of papers citing papers by John J. Beauchamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John J. Beauchamp

This figure shows the co-authorship network connecting the top 25 collaborators of John J. Beauchamp. A scholar is included among the top collaborators of John J. Beauchamp 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 J. Beauchamp. John J. Beauchamp 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 52
2 14
3 10
4 24
5 29
6 13
7 32
8 28
9 5
10
Identifying regional water quality patterns and their relationships with terrestrial ecosystems and fish distributions
1
11 0
12
APPLICATION OF THE POWER SHIFT TRANSFORMATION WITH COMPUTING PROCEDURES
1
13 26
14 72
15 2
16 21
17 2
18 8
19 22
20 9

About John J. Beauchamp

John J. Beauchamp is a scholar working on Statistics and Probability, Health, Toxicology and Mutagenesis and Nature and Landscape Conservation, having authored 89 papers that have together received 4.1k indexed citations. Recurring topics across this work include Environmental Toxicology and Ecotoxicology (16 papers), Advanced Statistical Methods and Models (12 papers) and Fish Ecology and Management Studies (8 papers). The work is most often cited by research in Statistics and Probability (746 citations), Health, Toxicology and Mutagenesis (644 citations) and Nature and Landscape Conservation (434 citations). John J. Beauchamp has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Toby J. Mitchell, Dean W. Wichern, Richard A. Johnson, Jerry S. Olson, Edward L. Frome, G.R. Southworth, Michael Kutner, Glenn W. Suter, Rebecca A. Efroymson and V.E. Kane. Their work appears in journals such as New England Journal of Medicine, Journal of the American Statistical Association and Environmental Science & Technology.

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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