“I would rather be a cyborg than a goddess”: Becoming-Intersectional in Assemblage Theory
- Authors
- Jasbir K. Puar
In The Last Decade
doi.org/10.1353/phi.2012.a486621 →Countries where authors are citing “I would rather be a cyborg than a goddess”: Becoming-Intersectional in Assemblage Theory
This map shows the geographic impact of “I would rather be a cyborg than a goddess”: Becoming-Intersectional in Assemblage Theory. 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 “I would rather be a cyborg than a goddess”: Becoming-Intersectional in Assemblage Theory with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites “I would rather be a cyborg than a goddess”: Becoming-Intersectional in Assemblage Theory more than expected).
Fields of papers citing “I would rather be a cyborg than a goddess”: Becoming-Intersectional in Assemblage Theory
This network shows the impact of “I would rather be a cyborg than a goddess”: Becoming-Intersectional in Assemblage Theory. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the “I would rather be a cyborg than a goddess”: Becoming-Intersectional in Assemblage Theory.
About “I would rather be a cyborg than a goddess”: Becoming-Intersectional in Assemblage Theory
This paper, published in 2012, received 277 indexed citations . Written by Jasbir K. Puar covering the research area of Visual Arts and Performing Arts. It is primarily cited by scholars working on Sociology and Political Science (128 citations), Gender Studies (93 citations) and Cultural Studies (46 citations).
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/10.1353/phi.2012.a486621.