Peter Gaži

7 papers and 194 indexed citations i.

About

Peter Gaži is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Peter Gaži has authored 7 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Information Systems and 3 papers in Computer Networks and Communications. Recurrent topics in Peter Gaži’s work include Cryptography and Data Security (6 papers), Blockchain Technology Applications and Security (4 papers) and User Authentication and Security Systems (3 papers). Peter Gaži is often cited by papers focused on Cryptography and Data Security (6 papers), Blockchain Technology Applications and Security (4 papers) and User Authentication and Security Systems (3 papers). Peter Gaži collaborates with scholars based in United States, United Kingdom and Austria. Peter Gaži's co-authors include Aggelos Kiayias, Dionysis Zindros, Alexander Russell, Vassilis Zikas, Christian Badertscher, Stefano Tessaro, Ling Ren, Krzysztof Pietrzak, Ueli Maurer and Michal Rolínek and has published in prestigious journals such as Journal of Computer Security, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security and 2022 IEEE Symposium on Security and Privacy (SP).

In The Last Decade

Co-authorship network of co-authors of Peter Gaži i

Fields of papers citing papers by Peter Gaži

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peter Gaži

Since Specialization
Citations

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