Lisa Eckey

4 papers and 191 indexed citations i.

About

Lisa Eckey is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lisa Eckey has authored 4 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 2 papers in Artificial Intelligence and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Lisa Eckey’s work include Blockchain Technology Applications and Security (4 papers), Cryptography and Data Security (2 papers) and Advanced Steganography and Watermarking Techniques (1 paper). Lisa Eckey is often cited by papers focused on Blockchain Technology Applications and Security (4 papers), Cryptography and Data Security (2 papers) and Advanced Steganography and Watermarking Techniques (1 paper). Lisa Eckey collaborates with scholars based in Germany, Poland and United States. Lisa Eckey's co-authors include Sebastian Faust, Stefan Dziembowski, Daniel Malinowski, David Gen�s, Patrick Jauernig, Ahmad‐Reza Sadeghi, Tommaso Frassetto, Kristina Hostáková, Neha Narula and Tyler Moore and has published in prestigious journals such as Communications of the ACM, USENIX Security Symposium and Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security.

In The Last Decade

Co-authorship network of co-authors of Lisa Eckey i

Fields of papers citing papers by Lisa Eckey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lisa Eckey

Since Specialization
Citations

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