QCD factorization for semi-inclusive deep-inelastic scattering at low transverse momentum

424 indexed citations

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This paper, published in 2005, received 424 indexed citations. Written by Xiangdong Ji, Jian-Ping Ma and Feng Yuan covering the research area of Nuclear and High Energy Physics. It is primarily cited by scholars working on Nuclear and High Energy Physics (418 citations), Astronomy and Astrophysics (15 citations) and Electrical and Electronic Engineering (5 citations). Published in Physical review. D. Particles, fields, gravitation, and cosmology.

Countries where authors are citing QCD factorization for semi-inclusive deep-inelastic scattering at low transverse momentum

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Citations

This map shows the geographic impact of QCD factorization for semi-inclusive deep-inelastic scattering at low transverse momentum. 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 QCD factorization for semi-inclusive deep-inelastic scattering at low transverse momentum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites QCD factorization for semi-inclusive deep-inelastic scattering at low transverse momentum more than expected).

Fields of papers citing QCD factorization for semi-inclusive deep-inelastic scattering at low transverse momentum

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of QCD factorization for semi-inclusive deep-inelastic scattering at low transverse momentum. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the QCD factorization for semi-inclusive deep-inelastic scattering at low transverse momentum.

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/10.1103/physrevd.71.034005.

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