Charles L. Dunn

19 papers receiving 1.4k citations

Hit Papers

Applied Multivariate Statistical Analysis198920262001201319891989200400600

Peers

Charles L. Dunn
Comparison fields: 5 of 196
  • Artificial Intelligence 137
  • Statistics and Probability 137
  • Cardiology and Cardiovascular Medicine 125
  • Computational Theory and Mathematics 118
  • Complementary and alternative medicine 116
Replace Jason C. Hsu with:
Jason C. Hsu United States
Henry B. Mann United States
Hans Riedwyl Switzerland
Gunnar Blom Sweden
Ralph C. St. John United States
Alysha De Livera Australia
Yi ̆ United States
Roger W. Johnson United States
Kuldeep Kumar Australia
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Charles L. Dunn relative to Jason C. Hsu United States Jason C. Hsu's profile →
Citations per field
00.5×8.3×
Jason C. Hsu · 1×
Citations per year

Countries citing papers authored by Charles L. Dunn

Since Specialization
Citations

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

Fields of papers citing papers by Charles L. Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles L. Dunn

This figure shows the co-authorship network connecting the top 25 collaborators of Charles L. Dunn. A scholar is included among the top collaborators of Charles L. Dunn 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 Charles L. Dunn. Charles L. Dunn 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 0
2 0
3 0
4 1
5 56
6 13
7
Extensions of a simple competitive graph coloring algorithm
1
8 2
9 25
10 1
11 1
12 1
13 1
14 6
15 5
16 3
17
Applied Multivariate Statistical Analysisbreakdown →
695
18
Applied Multivariate Statistical Analysisbreakdown →
468
19 1
20 2

About Charles L. Dunn

Charles L. Dunn is a scholar working on Discrete Mathematics and Combinatorics, Computer Graphics and Computer-Aided Design and Computational Theory and Mathematics, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Graph Theory Research (6 papers), Scheduling and Timetabling Solutions (3 papers) and Advanced Statistical Methods and Models (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (53 citations), Statistics and Probability (137 citations) and Complementary and alternative medicine (116 citations). Charles L. Dunn has collaborated with scholars based in United States and Kazakhstan. Frequent co-authors include Dean W. Wichern, Richard A. Johnson, H. A. Kierstead, R. L. Wiley, Nancy A. Hueppchen, Caroline Everington, D. E. McCoy, W. B. Smith, Randal P. Claytor and Henry A. Kiersteád. Their work appears in journals such as Technometrics, Medicine & Science in Sports & Exercise and European Journal of Applied Physiology.

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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