Thomas G. Rizzo

9.2k total citations
247 papers, 4.5k citations indexed

About

Thomas G. Rizzo is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Artificial Intelligence. According to data from OpenAlex, Thomas G. Rizzo has authored 247 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 239 papers in Nuclear and High Energy Physics, 71 papers in Astronomy and Astrophysics and 11 papers in Artificial Intelligence. Recurrent topics in Thomas G. Rizzo's work include Particle physics theoretical and experimental studies (229 papers), Quantum Chromodynamics and Particle Interactions (107 papers) and Dark Matter and Cosmic Phenomena (77 papers). Thomas G. Rizzo is often cited by papers focused on Particle physics theoretical and experimental studies (229 papers), Quantum Chromodynamics and Particle Interactions (107 papers) and Dark Matter and Cosmic Phenomena (77 papers). Thomas G. Rizzo collaborates with scholars based in United States, Germany and United Kingdom. Thomas G. Rizzo's co-authors include JoAnne L. Hewett, Hooman Davoudiasl, JoAnne L Hewett, Goran Senjanović, James D. Wells, James S. Gainer, Frank Petriello, M. Cahill-Rowley, V. Barger and Carola F. Berger and has published in prestigious journals such as Physical Review Letters, Physics Letters B and Journal of High Energy Physics.

In The Last Decade

Thomas G. Rizzo

238 papers receiving 4.4k citations

Peers

Thomas G. Rizzo
Comparison fields: 5 of 64
  • Nuclear and High Energy Physics 4.4k
  • Astronomy and Astrophysics 1.8k
  • Statistical and Nonlinear Physics 393
  • Atomic and Molecular Physics, and Optics 183
  • Artificial Intelligence 74
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Citations per field, relative to Thomas G. Rizzo
Thomas G. Rizzo · 1×
Citations per year, relative to Thomas G. Rizzo
Thomas G. Rizzo · 1×

Countries citing papers authored by Thomas G. Rizzo

Since Specialization
Citations

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

Fields of papers citing papers by Thomas G. Rizzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas G. Rizzo. 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 Thomas G. Rizzo. The network helps show where Thomas G. Rizzo may publish in the future.

Co-authorship network of co-authors of Thomas G. Rizzo

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas G. Rizzo. A scholar is included among the top collaborators of Thomas G. Rizzo 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 Thomas G. Rizzo. Thomas G. Rizzo 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 0
2 4
3 3
4 4
5 3
6 8
7
General features of supersymmetric signals at the ILC: Solving the CERN LHC inverse problem
1
8
$Z^\prime$ phenomenology and the LHC
1
9
Collider Production of TeV Scale Black Holes and Higher-Curvature Gravity
14
10 15
11 27
12 3
13
Desert GUTS and new light degrees of freedom.
3
14 4
15 12
16 3
17 6
18 11
19 63
20 3

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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