Q2-dependent parametrizations of parton distribution functions
- Authors
- Dennis W. DukeJ. F. Owens
- Journal
- Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields
In The Last Decade
doi.org/10.1103/physrevd.30.49 →Countries where authors are citing Q2-dependent parametrizations of parton distribution functions
This map shows the geographic impact of Q2-dependent parametrizations of parton distribution functions. 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 Q2-dependent parametrizations of parton distribution functions with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Q2-dependent parametrizations of parton distribution functions more than expected).
Fields of papers citing Q2-dependent parametrizations of parton distribution functions
This network shows the impact of Q2-dependent parametrizations of parton distribution functions. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Q2-dependent parametrizations of parton distribution functions.
About Q2-dependent parametrizations of parton distribution functions
This paper, published in 1984, received 494 indexed citations . Written by Dennis W. Duke and J. F. Owens covering the research area of Nuclear and High Energy Physics. It is primarily cited by scholars working on Nuclear and High Energy Physics (489 citations), Astronomy and Astrophysics (22 citations) and Electrical and Electronic Engineering (15 citations). Published in Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields.
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.30.49.