Parton distributions for the LHC run II

730 indexed citations

Abstract

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About

This paper, published in 2015, received 730 indexed citations. Written by Richard D. Ball, Valerio Bertone, Stefano Carrazza, Christopher S. Deans, Luigi Del Debbio, Stefano Forte, Alberto Guffanti, Nathan P. Hartland, José I. Latorre and Juan Rojo covering the research area of Nuclear and High Energy Physics and Computer Networks and Communications. It is primarily cited by scholars working on Nuclear and High Energy Physics (713 citations), Astronomy and Astrophysics (63 citations) and Artificial Intelligence (35 citations). Published in Journal of High Energy Physics.

Countries where authors are citing Parton distributions for the LHC run II

Specialization
Citations

This map shows the geographic impact of Parton distributions for the LHC run II. 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 Parton distributions for the LHC run II with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parton distributions for the LHC run II more than expected).

Fields of papers citing Parton distributions for the LHC run II

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Parton distributions for the LHC run II. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Parton distributions for the LHC run II.

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.

This paper is also available at doi.org/10.1007/jhep04(2015)040.

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