Julia Hesse

406 total citations
5 papers, 20 citations indexed

About

Julia Hesse is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Julia Hesse has authored 5 papers receiving a total of 20 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Information Systems and 1 paper in Computer Networks and Communications. Recurrent topics in Julia Hesse's work include Cryptography and Data Security (4 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and User Authentication and Security Systems (2 papers). Julia Hesse is often cited by papers focused on Cryptography and Data Security (4 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and User Authentication and Security Systems (2 papers). Julia Hesse collaborates with scholars based in Switzerland, Germany and Netherlands. Julia Hesse's co-authors include Anja Lehmann, Bertram Poettering, Tore Kasper Frederiksen, Poulami Das, Andy Rupp, Máté Horváth and Lisa Kohl and has published in prestigious journals such as TUbilio (Technical University of Darmstadt) and Proceedings on Privacy Enhancing Technologies.

In The Last Decade

Julia Hesse

4 papers receiving 19 citations

Peers

Julia Hesse
Joyce Cahoon United States
Po-Wei Wang United States
Mike Rabbat United States
Ward Beullens Switzerland
Fernando Virdia United Kingdom
John M. Schanck United States
Joyce Cahoon United States
Julia Hesse
Citations per year, relative to Julia Hesse Julia Hesse (= 1×) peers Joyce Cahoon

Countries citing papers authored by Julia Hesse

Since Specialization
Citations

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

Fields of papers citing papers by Julia Hesse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Hesse

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Hesse. A scholar is included among the top collaborators of Julia Hesse based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Julia Hesse. Julia Hesse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
2.
Hesse, Julia, et al.. (2024). Password-Protected Key Retrieval with(out) HSM Protection. 2445–2459. 1 indexed citations
3.
Frederiksen, Tore Kasper, et al.. (2023). Attribute-based Single Sign-On: Secure, Private, and Efficient. Proceedings on Privacy Enhancing Technologies. 2023(4). 35–65. 2 indexed citations
4.
Hesse, Julia, et al.. (2022). SoK: Oblivious Pseudorandom Functions. 625–646. 14 indexed citations
5.
Das, Poulami, Julia Hesse, & Anja Lehmann. (2022). DPaSE. TUbilio (Technical University of Darmstadt). 682–696. 3 indexed citations

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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