Michael Cavers

25 papers receiving 286 citations

Peers

Michael Cavers
Comparison fields: 5 of 55
  • Geometry and Topology 173
  • Discrete Mathematics and Combinatorics 47
  • Computational Theory and Mathematics 207
  • Computer Graphics and Computer-Aided Design 13
  • Algebra and Number Theory 14
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Sergio Bermudo Spain
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Lane Clark United States
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Milica Anđelić Kuwait
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Countries citing papers authored by Michael Cavers

Since Specialization
Citations

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

Fields of papers citing papers by Michael Cavers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Cavers. 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 Michael Cavers. The network helps show where Michael Cavers may publish in the future.

Co-authors

The 18 scholars most cited alongside Michael Cavers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Cavers Line = papers co-authored together Michael Cavers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201090
2 201247
3 200440
4 201519
5 200715
6 200515
7 201314
8 201311
9 201211
10 20139
11 20148
12
Clique partitions and coverings of graphs
20054
13 20154
14 20094
15 20094
16 20074
17 20113
18 20193
19
A graph theoretic approach to global earthquake sequencing: A Markov chain model
20122
20 20162

About Michael Cavers

Michael Cavers is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Electrical and Electronic Engineering, Numerical Analysis and Geophysics, having authored 30 papers that have together received 315 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (12 papers), Graph theory and applications (8 papers), graph theory and CDMA systems (8 papers), earthquake and tectonic studies (4 papers), Graph Labeling and Dimension Problems (4 papers), Numerical methods for differential equations (3 papers), Advanced Graph Theory Research (3 papers) and Earthquake Detection and Analysis (3 papers). The work is most often cited by research in Geometry and Topology (173 citations), Discrete Mathematics and Combinatorics (47 citations), Computational Theory and Mathematics (207 citations), Computer Graphics and Computer-Aided Design (13 citations) and Algebra and Number Theory (14 citations). Michael Cavers has collaborated with scholars based in Canada, United States and Ireland. Frequent co-authors include Shaun Fallat, Steve Kirkland, K. Vasudevan, David A. Gregory, Sebastian M. Cioabă, Willem H. Haemers, Judith J. McDonald, Michael J. Tsatsomeros, Bryan L. Shader and Kris Vasudevan. Their work appears in journals such as Electronic Journal of Linear Algebra, Linear Algebra and its Applications, Discrete Mathematics, Ars Mathematica Contemporanea and Pure and Applied Geophysics.

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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