Quantifying institutional gender inequality in contemporary visual art.
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| Title: | Quantifying institutional gender inequality in contemporary visual art. |
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| Authors: | Wang X; Network Science Institute and Department of Physics, Northeastern University, Boston, MA, USA., Gates AJ; School of Data Science, University of Virginia, Charlottesville, VA, USA., Resch M; Yale School of Management, Yale University, New Haven, CT, USA.; Zagreb School of Economics and Management, Zagreb, Croatia.; Luxembourg School of Business, Luxembourg City, Luxembourg., Barabási AL; Network Science Institute and Department of Physics, Northeastern University, Boston, MA, USA. barabasi@gmail.com.; Department of Mathematics and its Applications and Center for Network Science, Central European University, Budapest, Hungary. barabasi@gmail.com.; Department of Network and Data Science, Central European University, Budapest, Hungary. barabasi@gmail.com.; Channing Division of Network Medicine, Department of Medicine, Harvard Medical School, Boston, MA, USA. barabasi@gmail.com. |
| Source: | Nature communications [Nat Commun] 2026 Jul 09; Vol. 17 (1). Date of Electronic Publication: 2026 Jul 09. |
| Publication Type: | Journal Article; Historical Article |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2041-1723 |
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| DOI: | 10.1038/s41467-026-71470-4 |
