Reid A. Johnson

70 papers receiving 2.8k citations

Reid A. Johnson's Hit Papers

Calibrating Probability with Undersampling for Unbalanced Classification 2015 · 408 citations
4080+15+30Years since publication100200300400500

Peers

Reid A. Johnson
Comparison fields: 5 of 212
  • Accounting 514
  • Process Chemistry and Technology 79
  • Statistics and Probability 194
  • Soil Science 219
  • Environmental Chemistry 206
Replace C. D. Sinclair with:
C. D. Sinclair United Kingdom
Gregory C. Chow United States
William G. Madow United States
Michaela Saisana Italy
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Samprit Chatterjee United States
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Elizabeth A. Peck United States
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Citations per year

Countries citing papers authored by Reid A. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Reid A. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Reid A. Johnson. 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 Reid A. Johnson. The network helps show where Reid A. Johnson may publish in the future.

Co-authors

The 25 scholars most cited alongside Reid A. Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Reid A. Johnson Line = papers co-authored together Reid A. Johnson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Statistical Concepts and Methods
Hit paper breakdown →
1980531
2 1994493
3
Calibrating Probability with Undersampling for Unbalanced Classification
Hit paper breakdown →
2015408
4 1983283
5 1991179
6 2002136
7 2000117
8 200593
9 200380
10 198868
11 199468
12 196750
13 197844
14 201542
15 195241
16 198834
17 201229
18 198826
19 201825
20 198623

About Reid A. Johnson

Reid A. Johnson is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics, Artificial Intelligence and Paleontology, having authored 71 papers that have together received 3.1k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (6 papers), Machine Learning and Data Classification (5 papers), Statistical Distribution Estimation and Applications (4 papers), Complex Network Analysis Techniques (4 papers), Archaeology and ancient environmental studies (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Isotope Analysis in Ecology (4 papers) and Statistical Methods and Inference (4 papers). The work is most often cited by research in Accounting (514 citations), Process Chemistry and Technology (79 citations), Statistics and Probability (194 citations), Soil Science (219 citations) and Environmental Chemistry (206 citations). Reid A. Johnson has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include G. K. Bhattacharyya, T Postelnicu, Robert E. Hoskisson, Douglas D. Moesel, Andrea Dal Pozzolo, Olivier Caelen, Gianluca Bontempi, F. H. C. Marriott, Dean W. Wichern and Tom H. Misselbrook. Their work appears in journals such as Radiocarbon, IEEE Transactions on Automatic Control, Applied and Environmental Microbiology, IEEE Transactions on Magnetics and Technometrics.

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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