David W. Mauro

658 citations
20 papers · 503 indexed · h-index 10
Topics
Graph Labeling and Dimension Problems (17 papers)Advanced Graph Theory Research (15 papers)graph theory and CDMA systems (12 papers)

In The Last Decade

David W. Mauro

19 papers receiving 422 citations

Peers

David W. Mauro
Comparison fields: 5 of 25
  • Computational Theory and Mathematics 479
  • Electrical and Electronic Engineering 333
  • Discrete Mathematics and Combinatorics 66
  • Computer Networks and Communications 38
  • Geometry and Topology 20
Replace John P. Georges with:
John P. Georges United States
David Kuo Taiwan
Daphne Der‐Fen Liu United States
Pranava K. Jha United States
Ajai Kapoor Italy
Nicholas J. Cavenagh Australia
Daniel Gonçalves France
V. E. Alekseev Russia
János Barát Hungary
Mathieu Liedloff France
David W. Mauro relative to John P. Georges United States John P. Georges's profile →
Citations per field
00.5×1.5×
John P. Georges · 1×
Citations per year

Countries citing papers authored by David W. Mauro

Since Specialization
Citations

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

Fields of papers citing papers by David W. Mauro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David W. Mauro. 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 David W. Mauro. The network helps show where David W. Mauro may publish in the future.

Co-authorship network of co-authors of David W. Mauro

This figure shows the co-authorship network connecting the top 25 collaborators of David W. Mauro. A scholar is included among the top collaborators of David W. Mauro 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 David W. Mauro. David W. Mauro 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 0
3
On Zero-Sum Zk-Magic Labelings of 3-Regular Graphs
2
4 1
5 2
6 1
7 7
8 10
9
Edge Labelings with a Condition at Distance Two.
8
10 5
11 19
12 42
13 27
14 89
15 9
16 45
17 123
18 95
19 16
20 1

About David W. Mauro

David W. Mauro is a scholar working on Computational Theory and Mathematics, Discrete Mathematics and Combinatorics and Statistics and Probability, having authored 20 papers that have together received 503 indexed citations. Recurring topics across this work include Graph Labeling and Dimension Problems (17 papers), Advanced Graph Theory Research (15 papers) and graph theory and CDMA systems (12 papers). The work is most often cited by research in Computational Theory and Mathematics (479 citations), Discrete Mathematics and Combinatorics (66 citations) and Electrical and Electronic Engineering (333 citations). David W. Mauro has collaborated with scholars based in United States, South Korea and Ireland. Frequent co-authors include John P. Georges, Melanie Stein, David Erwin and Yan Wang. Their work appears in journals such as Biometrika, The Annals of Statistics and Discrete Applied Mathematics.

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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