John S. Maybee

4.4k total citations · 1 hit paper
67 papers, 3.3k citations indexed

About

John S. Maybee is a scholar working on Computational Theory and Mathematics, Electrical and Electronic Engineering and Geometry and Topology. According to data from OpenAlex, John S. Maybee has authored 67 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computational Theory and Mathematics, 23 papers in Electrical and Electronic Engineering and 16 papers in Geometry and Topology. Recurrent topics in John S. Maybee's work include Matrix Theory and Algorithms (17 papers), graph theory and CDMA systems (15 papers) and Advanced Graph Theory Research (10 papers). John S. Maybee is often cited by papers focused on Matrix Theory and Algorithms (17 papers), graph theory and CDMA systems (15 papers) and Advanced Graph Theory Research (10 papers). John S. Maybee collaborates with scholars based in United States, Canada and Netherlands. John S. Maybee's co-authors include W. Fulks, J. Genin, J. Richard Lundgren, J. P. Quirk, Harvey J. Greenberg, D.D. Olesky, Gerry Wiener, Norman J. Pullman, Frank Harary and Noel D. Uri and has published in prestigious journals such as Econometrica, Applied Energy and Journal of Applied Mechanics.

In The Last Decade

John S. Maybee

62 papers receiving 2.8k citations

Hit Papers

Partial differential equations of parabolic type 1965 2026 1985 2005 1965 500 1000 1.5k 2.0k 2.5k

Peers

John S. Maybee
Comparison fields: 5 of 113
  • Computational Theory and Mathematics 1.5k
  • Applied Mathematics 1.4k
  • Mathematical Physics 932
  • Control and Systems Engineering 601
  • Numerical Analysis 552
Replace L. C. Evans with:
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Citations per field, relative to John S. Maybee
John S. Maybee · 1×
Citations per year, relative to John S. Maybee
John S. Maybee · 1×

Countries citing papers authored by John S. Maybee

Since Specialization
Citations

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

Fields of papers citing papers by John S. Maybee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John S. Maybee

This figure shows the co-authorship network connecting the top 25 collaborators of John S. Maybee. A scholar is included among the top collaborators of John S. Maybee 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 S. Maybee. John S. Maybee 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
# Work Indexed citations
1 1
2 1
3 16
4 8
5 0
6 1
7 4
8 13
9 23
10
Graphs and applications : proceedings of the First Colorado Symposium on Graph Theory
20
11 7
12 18
13 8
14 20
15 1
16 17
17 21
18 26
19 15
20 99

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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