Philip Zimmermann

3 papers and 28 indexed citations i.

About

Philip Zimmermann is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Philip Zimmermann has authored 3 papers receiving a total of 28 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Philip Zimmermann’s work include Chaos-based Image/Signal Encryption (2 papers), Cryptography and Data Security (1 paper) and Cryptographic Implementations and Security (1 paper). Philip Zimmermann is often cited by papers focused on Chaos-based Image/Signal Encryption (2 papers), Cryptography and Data Security (1 paper) and Cryptographic Implementations and Security (1 paper). Philip Zimmermann collaborates with scholars based in The Netherlands. Philip Zimmermann's co-authors include Peter Schwabe and Andreas Hülsing and has published in prestigious journals such as Scientific American, 2022 IEEE Symposium on Security and Privacy (SP) and Springer eBooks.

In The Last Decade

Co-authorship network of co-authors of Philip Zimmermann i

Fields of papers citing papers by Philip Zimmermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Philip Zimmermann

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025