Michael Tait

33 papers receiving 353 citations

Peers

Michael Tait
Comparison fields: 5 of 33
  • Discrete Mathematics and Combinatorics 201
  • Geometry and Topology 203
  • Computational Theory and Mathematics 196
  • Computational Mathematics 6
  • Organic Chemistry 91
Replace G.R. Omidi with:
G.R. Omidi Iran
Qiongxiang Huang China
Mohammad Reza Oboudi Iran
Sasmita Barik India
Jie Xue China
Mingqing Zhai China
Carlos Hoppen Brazil
María Robbiano Chile
Ji‐Ming Guo China
Michael Tait relative to G.R. Omidi Iran G.R. Omidi's profile →
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Citations per year

Countries citing papers authored by Michael Tait

Since Specialization
Citations

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

Fields of papers citing papers by Michael Tait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Tait, 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 Tait Line = papers co-authored together Michael Tait links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202051
2 201238
3 201535
4 201928
5 202227
6 201523
7 201616
8 202313
9 202012
10 201712
11 201612
12 201411
13 201910
14 20188
15 20138
16 20246
17 20116
18 20196
19 20216
20 20225

About Michael Tait

Michael Tait is a scholar working on Discrete Mathematics and Combinatorics, Geometry and Topology, Computational Theory and Mathematics, Electrical and Electronic Engineering and Religious studies, having authored 42 papers that have together received 365 indexed citations. Recurring topics across this work include Graph theory and applications (23 papers), Limits and Structures in Graph Theory (22 papers), Advanced Graph Theory Research (13 papers), Finite Group Theory Research (8 papers), graph theory and CDMA systems (7 papers), Biblical Studies and Interpretation (5 papers), Coordination Chemistry and Organometallics (4 papers) and Graph Labeling and Dimension Problems (4 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (201 citations), Geometry and Topology (203 citations), Computational Theory and Mathematics (196 citations), Computational Mathematics (6 citations) and Organic Chemistry (91 citations). Michael Tait has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Sebastian M. Cioabă, Jonathan Clayden, Xiao‐Dong Zhang, Lihua Feng, Sam Butterworth, Jeong Han Kim, Jacques Verstraëte, Bob Chen, Jing Wang and Peter O’Brien. Their work appears in journals such as Discrete Mathematics, The Electronic Journal of Combinatorics, Linear Algebra and its Applications, SIAM Journal on Discrete Mathematics and Organic Letters.

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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