Norman L. Johnson

314 papers receiving 14.0k citations

Hit Papers

Continuous Univariate Distributions.19712026198920071995197320002005199310002.0k3.0k4.0k5.0k

Peers

Norman L. Johnson
Comparison fields: 5 of 228
  • Statistics and Probability 6.2k
  • Statistics, Probability and Uncertainty 3.6k
  • Artificial Intelligence 3.0k
  • Management Science and Operations Research 2.4k
  • Electrical and Electronic Engineering 1.4k
Replace Barry C. Arnold with:
Barry C. Arnold United States
Albert W. Marshall United States
T. W. Anderson United States
Sheldon M. Ross United States
Luc Devroye Canada
Herman Chernoff United States
Samuel Kotz United States
D. B. Owen United States
William Feller United States
Emanuel Parzen United States
Norman L. Johnson relative to Barry C. Arnold United States Barry C. Arnold's profile →
Citations per field
00.5×1.5×1.9×
Barry C. Arnold · 1×
Citations per year

Countries citing papers authored by Norman L. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Norman L. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norman L. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Norman L. Johnson. A scholar is included among the top collaborators of Norman L. 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 Norman L. Johnson. Norman L. 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
#WorkIndexed citations
1 1
2 2
3 0
4
Partial Parallelisms With Sharply Two-Transitive Skew Spreads.
0
5
Continuous Multivariate Distributionsbreakdown →
955
6 8
7 1
8 3
9 9
10 7
11 10
12 3
13
Lezioni sui piani di traslazione
7
14 6
15 2
16 0
17 10
18 1
19
Finite geometries : proceedings of a conference in honor of T.G. Ostrom
2
20 16

About Norman L. Johnson

Norman L. Johnson is a scholar working on Discrete Mathematics and Combinatorics, Statistics and Probability and Geometry and Topology, having authored 354 papers that have together received 15.4k indexed citations. Recurring topics across this work include Finite Group Theory Research (153 papers), graph theory and CDMA systems (139 papers) and Coding theory and cryptography (107 papers). The work is most often cited by research in Statistics and Probability (6.2k citations), Statistics, Probability and Uncertainty (3.6k citations) and Discrete Mathematics and Combinatorics (872 citations). Norman L. Johnson has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include S. Kotz, N. Balakrishnan, Yasuhiro Omori, Samuel Kotz, S. Kotz, Adrienne W. Kemp, D. V. Gokhale, N. Balakrishnan, W. L. Pearn and C. D. Kemp. Their work appears in journals such as Journal of the American Statistical Association, American Sociological Review 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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