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Cited by 828

The DOI matches its Crossref record; 122 of the 122 references it cites were found in a registry or an index.

Heavy Ion Collisions: The Big Picture and the Big Questions

Open access
Busza, Wit, Rajagopal, Krishna, van der Schee, Wilke·2018·Annual Review of Nuclear and Particle Science

Abstract

Heavy ion collisions quickly form a droplet of quark–gluon plasma (QGP) with a remarkably small viscosity. We give an accessible introduction to how to study this smallest and hottest droplet of liquid made on Earth and why it is so interesting. The physics of heavy ion collisions ranges from highly energetic quarks and gluons described by perturbative QCD to a bath of strongly interacting gluons at lower energy scales. These gluons quickly thermalize and form QGP, while the energetic partons traverse this plasma and end in a shower of particles called jets. Analyzing the final particles in various ways allows us to study the properties of QGP and the complex dynamics of multiscale processes in QCD that govern its formation and evolution, providing what is perhaps the simplest form of complex quantum matter that we know of. Much remains to be understood, and throughout the review big open questions are encountered.

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Crossref · 10.1146/annurev-nucl-101917-020852

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Metadata

Authors
Busza, W., Rajagopal, K., & van der Schee, W.
Venue
Annual Review of Nuclear and Particle Science
Published
2018-10-19
Volume
68
Issue
1
Pages
339-376
ISSN
  • 0163-8998 (ISSN-L)
  • 1545-4134
OpenAlex
W2786926186
Cited by
828
References
122
FWCI
7.99
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Heavy Ion Collisions: The Big Picture and the Big Questions. https://app.cochat.ai/papers/10.1146/annurev-nucl-101917-020852
The paper
Busza, W., Rajagopal, K., & van der Schee, W. (2018). Heavy Ion Collisions: The Big Picture and the Big Questions. Annual Review of Nuclear and Particle Science. https://doi.org/10.1146/annurev-nucl-101917-020852

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.