Tim M. P. Tait

12.8k total citations · 3 hit papers
123 papers, 6.4k citations indexed

About

Tim M. P. Tait is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Tim M. P. Tait has authored 123 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Nuclear and High Energy Physics, 62 papers in Astronomy and Astrophysics and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Tim M. P. Tait's work include Particle physics theoretical and experimental studies (106 papers), Dark Matter and Cosmic Phenomena (67 papers) and Cosmology and Gravitation Theories (60 papers). Tim M. P. Tait is often cited by papers focused on Particle physics theoretical and experimental studies (106 papers), Dark Matter and Cosmic Phenomena (67 papers) and Cosmology and Gravitation Theories (60 papers). Tim M. P. Tait collaborates with scholars based in United States, United Kingdom and Germany. Tim M. P. Tait's co-authors include Géraldine Servant, Arvind Rajaraman, William Shepherd, C.–P. Yuan, Marcela Carena, Gianfranco Bertone, Carlos E. M. Wagner, Tilman Plehn, Hai-Bo Yu and Masahiro Ibe and has published in prestigious journals such as Nature, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

Tim M. P. Tait

121 papers receiving 6.3k citations

Hit Papers

Is the Lightest Kaluza–Klein Particle a Viable Dark Matte... 2002 2026 2010 2018 2002 2010 2018 100 200 300 400

Peers

Tim M. P. Tait
Comparison fields: 5 of 55
  • Nuclear and High Energy Physics 6.2k
  • Astronomy and Astrophysics 3.1k
  • Atomic and Molecular Physics, and Optics 436
  • Statistical and Nonlinear Physics 130
  • Artificial Intelligence 99
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Citations per field, relative to Tim M. P. Tait
Tim M. P. Tait · 1×
Citations per year, relative to Tim M. P. Tait
Tim M. P. Tait · 1×

Countries citing papers authored by Tim M. P. Tait

Since Specialization
Citations

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

Fields of papers citing papers by Tim M. P. Tait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim M. P. Tait

This figure shows the co-authorship network connecting the top 25 collaborators of Tim M. P. Tait. A scholar is included among the top collaborators of Tim M. P. Tait 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 Tim M. P. Tait. Tim M. P. Tait 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 1
3 1
4 0
5 23
6 4
7 36
8 29
9 9
10 30
11 4
12 1
13 16
14
Magnetic Fluffy Dark Matter
13
15 22
16
New Physics at the LHC
5
17 3
18
Is the Lightest Kaluza–Klein Particle a Viable Dark Matter Candidate? breakdown →
497
19 53
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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