Phillip Rieger

8 papers and 87 indexed citations i.

About

Phillip Rieger is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Phillip Rieger has authored 8 papers receiving a total of 87 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Sociology and Political Science and 2 papers in Information Systems. Recurrent topics in Phillip Rieger’s work include Privacy-Preserving Technologies in Data (5 papers), Adversarial Robustness in Machine Learning (3 papers) and Cryptography and Data Security (2 papers). Phillip Rieger is often cited by papers focused on Privacy-Preserving Technologies in Data (5 papers), Adversarial Robustness in Machine Learning (3 papers) and Cryptography and Data Security (2 papers). Phillip Rieger collaborates with scholars based in Germany, United States and Finland. Phillip Rieger's co-authors include Hossein Fereidooni, Ahmad‐Reza Sadeghi, Shaza Zeitouni, Samuel Marchal, Thien Duc Nguyen, Azalia Mirhoseini, Helen Möllering, Markus Miettinen, Hossein Yalame and Thomas Schneider and has published in prestigious journals such as Radboud Repository (Radboud University), Aaltodoc (Aalto University) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Phillip Rieger i

Fields of papers citing papers by Phillip Rieger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip Rieger. 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 Phillip Rieger. The network helps show where Phillip Rieger may publish in the future.

Countries citing papers authored by Phillip Rieger

Since Specialization
Citations

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