Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor
Impact in
- Safety Research 239
- Authors
- Virginia Eubanks
In The Last Decade
doi.org/w35316702 →Countries where authors are citing Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor
This map shows the geographic impact of Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. 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 Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor more than expected).
Fields of papers citing Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor
This network shows the impact of Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor.
About Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor
This paper, published in 2018, received 677 indexed citations . Written by Virginia Eubanks. It is primarily cited by scholars working on Safety Research (239 citations), Sociology and Political Science (226 citations), Artificial Intelligence (108 citations), Information Systems (87 citations) and General Health Professions (63 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/w35316702.