Privacy, Poverty and Big Data: A Matrix of Vulnerabilities for Poor Americans
Impact in
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- Open Scholarship Institutional Repository (Washington University in St. Louis)
In The Last Decade
doi.org/w18675513 →Countries where authors are citing Privacy, Poverty and Big Data: A Matrix of Vulnerabilities for Poor Americans
This map shows the geographic impact of Privacy, Poverty and Big Data: A Matrix of Vulnerabilities for Poor Americans. 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 Privacy, Poverty and Big Data: A Matrix of Vulnerabilities for Poor Americans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Privacy, Poverty and Big Data: A Matrix of Vulnerabilities for Poor Americans more than expected).
Fields of papers citing Privacy, Poverty and Big Data: A Matrix of Vulnerabilities for Poor Americans
This network shows the impact of Privacy, Poverty and Big Data: A Matrix of Vulnerabilities for Poor Americans. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Privacy, Poverty and Big Data: A Matrix of Vulnerabilities for Poor Americans.
About Privacy, Poverty and Big Data: A Matrix of Vulnerabilities for Poor Americans
This paper, published in 2017, received 73 indexed citations . Written by Mary Madden, Karen Levy and Alice Marwick covering the research area of Economics and Econometrics and Sociology and Political Science. It is primarily cited by scholars working on Sociology and Political Science (51 citations), Safety Research (20 citations), Communication (16 citations), Information Systems (14 citations) and Artificial Intelligence (13 citations). Published in Open Scholarship Institutional Repository (Washington University in St. Louis).
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/w18675513.