R. A. Johnson

4.0k total citations · 2 hit papers
68 papers, 2.8k citations indexed

About

R. A. Johnson is a scholar working on Electrical and Electronic Engineering, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, R. A. Johnson has authored 68 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 9 papers in Statistics and Probability and 8 papers in Artificial Intelligence. Recurrent topics in R. A. Johnson's work include Statistical Methods and Inference (5 papers), Imbalanced Data Classification Techniques (4 papers) and Machine Learning and Data Classification (4 papers). R. A. Johnson is often cited by papers focused on Statistical Methods and Inference (5 papers), Imbalanced Data Classification Techniques (4 papers) and Machine Learning and Data Classification (4 papers). R. A. Johnson collaborates with scholars based in United States, Canada and United Kingdom. R. A. Johnson's co-authors include G. K. Bhattacharyya, T Postelnicu, Douglas D. Moesel, Robert E. Hoskisson, Dean W. Wichern, F. H. C. Marriott, Olivier Caelen, Gianluca Bontempi, Andrea Dal Pozzolo and T. H. Misselbrook and has published in prestigious journals such as Science, Academy of Management Journal and Journal of Applied Physics.

In The Last Decade

R. A. Johnson

65 papers receiving 2.5k citations

Hit Papers

Statistical Concepts and Methods 1980 2026 1995 2010 1980 2015 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Statistical Concepts and Methods
    1980 520 citations G. K. Bhattacharyya, R. A. Johnson et al. profile →
  2. Calibrating Probability with Undersampling for Unbalanced Classification
    2015 320 citations Andrea Dal Pozzolo, Olivier Caelen et al. profile →

Peers

R. A. Johnson
Bertram Price United States
Samprit Chatterjee United States
Elizabeth A. Peck United States
Farid Kianifard United States
S. C. Sharma India
J. D. Jobson Canada
Jean Dickinson Gibbons United States
Kuldeep Kumar Australia
Matthew Goldstein United States
Michaela Saisana Italy
Bertram Price United States
R. A. Johnson
Citations per year, relative to R. A. Johnson R. A. Johnson (= 1×) peers Bertram Price

Countries citing papers authored by R. A. Johnson

Since Specialization
Citations

This map shows the geographic impact of R. 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 R. 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 R. A. Johnson more than expected).

Fields of papers citing papers by R. A. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. A. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of R. A. Johnson. A scholar is included among the top collaborators of R. A. Johnson 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. A. Johnson. R. A. Johnson 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
1.
Johnson, R. A.. (2024). quantile-forest: A Python Package for QuantileRegression Forests. The Journal of Open Source Software. 9(93). 5976–5976. 9 indexed citations
2.
Johnson, R. A., et al.. (2018). FraudBuster: Reducing Fraud in an Auto Insurance Market. Big Data. 6(1). 3–12. 4 indexed citations
3.
Johnson, R. A., et al.. (2018). Characterizing online health and wellness information consumption: A study. Information Fusion. 46. 33–43. 4 indexed citations
4.
Pozzolo, Andrea Dal, Olivier Caelen, R. A. Johnson, & Gianluca Bontempi. (2015). Calibrating Probability with Undersampling for Unbalanced Classification. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 2 indexed citations
5.
Dong, Yuxiao, R. A. Johnson, Yang Yang, & Nitesh V. Chawla. (2015). Collaboration Signatures Reveal Scientific Impact. 480–487. 9 indexed citations
6.
Misselbrook, T. H., F. A. Nicholson, B. J. Chambers, & R. A. Johnson. (2005). Measuring ammonia emissions from land applied manure: an intercomparison of commonly used samplers and techniques. Environmental Pollution. 135(3). 389–397. 88 indexed citations
7.
Hardgrave, Bill C. & R. A. Johnson. (2003). Toward an information systems development acceptance model: The case of object-oriented systems development. IEEE Transactions on Engineering Management. 50(3). 322–336. 74 indexed citations
8.
Misselbrook, T. H., Kenneth A. Smith, R. A. Johnson, & B. F. Pain. (2002). SE—Structures and Environment. Biosystems Engineering. 81(3). 313–321. 128 indexed citations
9.
Johnson, R. A., et al.. (1992). Profile: The Western Regional Plant Introduction Station (W-6) at Pullman, WA.. Diversity. 8(1). 33–35. 1 indexed citations
10.
Bhattacharyya, G. K., Arthur Fries, & R. A. Johnson. (1989). Properties of continuous analog estimators for a discrete reliability-growth model. IEEE Transactions on Reliability. 38(3). 373–378. 10 indexed citations
11.
Guttman, Irwin, R. A. Johnson, G. K. Bhattacharyya, & Benjamin Reiser. (1988). Confidence Limits for Stress-Strength Models With Explanatory Variables. Technometrics. 30(2). 161–168. 30 indexed citations
12.
Guttman, Irwin, R. A. Johnson, G. K. Bhattacharyya, & Benjamin Reiser. (1988). Confidence Limits for Stress-Strength Models with Explanatory Variables. Technometrics. 30(2). 161–161. 24 indexed citations
13.
Johnson, R. A., et al.. (1983). University of Miami Radiocarbon Dates XXII. Radiocarbon. 25(1). 137–142. 1 indexed citations
14.
Johnson, R. A.. (1980). State-of-the-art report: current statistical methods for estimating lumber properties by proofloading.. Forest Products Journal. 30(1). 14–22. 1 indexed citations
15.
Ellender, R. D., et al.. (1980). Enterovirus and Bacterial Evaluation of Mississippi Oysters. Gulf Research Reports. 6. 4 indexed citations
16.
Johnson, R. A., et al.. (1980). University of Miami Radiocarbon Dates XVII. Radiocarbon. 22(1). 99–107. 1 indexed citations
17.
Johnson, R. A., et al.. (1972). Stability of oscillations in low-order nonlinear systems. IEEE Transactions on Automatic Control. 17(5). 672–675. 7 indexed citations
18.
Johnson, R. A., et al.. (1969). Limit cycles in time-delay relay systems†. International Journal of Control. 9(4). 387–398. 2 indexed citations
19.
Johnson, R. A., Nils Standal, & Reiji Mezaki. (1968). Re-examination of Hougen-Watson Rate Models Including a Weighted Least Squares Approach. Industrial & Engineering Chemistry Fundamentals. 7(1). 181–183. 12 indexed citations
20.
Davenport, Wilbur B., R. A. Johnson, & David Middleton. (1952). Statistical Errors in Measurements on Random Time Functions. Journal of Applied Physics. 23(4). 377–388. 39 indexed citations

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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