Daniel Susser

21 papers and 292 indexed citations i.

About

Daniel Susser is a scholar working on Sociology and Political Science, Safety Research and Artificial Intelligence. According to data from OpenAlex, Daniel Susser has authored 21 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Sociology and Political Science, 10 papers in Safety Research and 7 papers in Artificial Intelligence. Recurrent topics in Daniel Susser’s work include Ethics and Social Impacts of AI (10 papers), Privacy, Security, and Data Protection (8 papers) and Privacy-Preserving Technologies in Data (4 papers). Daniel Susser is often cited by papers focused on Ethics and Social Impacts of AI (10 papers), Privacy, Security, and Data Protection (8 papers) and Privacy-Preserving Technologies in Data (4 papers). Daniel Susser collaborates with scholars based in United States, The Netherlands and Australia. Daniel Susser's co-authors include Beate Roessler, Helen Nissenbaum, Laura Y. Cabrera, Karen Levy, Karen Lévy, Matteo Bonotti, Sarah Rajtmajer, Anne Barnhill, Timo Minssen and Megan Doerr and has published in prestigious journals such as The Hastings Center Report, Surveillance & Society and Ethical Theory and Moral Practice.

In The Last Decade

Co-authorship network of co-authors of Daniel Susser i

Fields of papers citing papers by Daniel Susser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Susser. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Susser. The network helps show where Daniel Susser may publish in the future.

Countries citing papers authored by Daniel Susser

Since Specialization
Citations

This map shows the geographic impact of Daniel Susser's research. 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 Daniel Susser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Susser more than expected).

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.

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2025