Michael P. Tuite

664 total citations
29 papers, 330 citations indexed

About

Michael P. Tuite is a scholar working on Geometry and Topology, Algebra and Number Theory and Nuclear and High Energy Physics. According to data from OpenAlex, Michael P. Tuite has authored 29 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Geometry and Topology, 10 papers in Algebra and Number Theory and 10 papers in Nuclear and High Energy Physics. Recurrent topics in Michael P. Tuite's work include Algebraic structures and combinatorial models (14 papers), Advanced Topics in Algebra (9 papers) and Nonlinear Waves and Solitons (9 papers). Michael P. Tuite is often cited by papers focused on Algebraic structures and combinatorial models (14 papers), Advanced Topics in Algebra (9 papers) and Nonlinear Waves and Solitons (9 papers). Michael P. Tuite collaborates with scholars based in Ireland, United States and United Kingdom. Michael P. Tuite's co-authors include B. E. Leonard, Geoffrey Mason, János Balog, A. D. Martin, Donia Scott, F. Halzen, Martin Lavelle, Rossen I. Ivanov, Siddhartha Sen and A. Vladikas and has published in prestigious journals such as Nuclear Physics B, Communications in Mathematical Physics and The European Physical Journal C.

In The Last Decade

Michael P. Tuite

24 papers receiving 313 citations

Peers

Michael P. Tuite
Comparison fields: 5 of 58
  • Cellular and Molecular Neuroscience 100
  • Geometry and Topology 100
  • Sensory Systems 89
  • Nuclear and High Energy Physics 65
  • Statistical and Nonlinear Physics 62
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Citations per field, relative to Michael P. Tuite
Michael P. Tuite · 1×
Citations per year, relative to Michael P. Tuite
Michael P. Tuite · 1×

Countries citing papers authored by Michael P. Tuite

Since Specialization
Citations

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

Fields of papers citing papers by Michael P. Tuite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael P. Tuite

This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. Tuite. A scholar is included among the top collaborators of Michael P. Tuite 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 Michael P. Tuite. Michael P. Tuite 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 3
2 0
3 0
4 1
5
The Bosonic Vertex Operator Algebra on a Genus $g$ Riemann Surface (Research into Vertex Operator Algebras, Finite Groups and Combinatorics)
1
6 8
7 11
8 5
9 2
10 2
11 12
12 2
13 4
14 1
15 0
16 16
17 0
18 2
19 2
20 176

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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