Claudia Díaz

4.4k total citations · 1 hit paper
66 papers, 1.6k citations indexed

About

Claudia Díaz is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Networks and Communications. According to data from OpenAlex, Claudia Díaz has authored 66 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 26 papers in Sociology and Political Science and 20 papers in Computer Networks and Communications. Recurrent topics in Claudia Díaz's work include Internet Traffic Analysis and Secure E-voting (41 papers), Privacy, Security, and Data Protection (22 papers) and Privacy-Preserving Technologies in Data (21 papers). Claudia Díaz is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (41 papers), Privacy, Security, and Data Protection (22 papers) and Privacy-Preserving Technologies in Data (21 papers). Claudia Díaz collaborates with scholars based in Belgium, United States and Spain. Claudia Díaz's co-authors include Marc Juárez, Güneş Acar, Carmela Troncoso, Seda Gürses, George Danezis, Bart Preneel, Rachel Greenstadt, Steven Englehardt, Arvind Narayanan and Sadia Afroz and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physical Chemistry B and ACM Computing Surveys.

In The Last Decade

Claudia Díaz

61 papers receiving 1.5k citations

Hit Papers

The Web Never Forgets 2014 2026 2018 2022 2014 50 100 150 200 250

Peers

Claudia Díaz
Richard Chow United States
Ian Fette United States
Nick Nikiforakis United States
Claudia Díaz
Citations per year, relative to Claudia Díaz Claudia Díaz (= 1×) peers Urs Hengartner

Countries citing papers authored by Claudia Díaz

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Díaz

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Díaz. A scholar is included among the top collaborators of Claudia Díaz 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 Claudia Díaz. Claudia Díaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Díaz, Claudia, et al.. (2024). Are continuous stop-and-go mixnets provably secure?. Proceedings on Privacy Enhancing Technologies. 2024(4). 665–683. 1 indexed citations
2.
Sharma, Piyush, et al.. (2024). LARMix: Latency-Aware Routing in Mix Networks. Lirias (KU Leuven). 2 indexed citations
3.
Rúa, Enrique Argones, et al.. (2024). MixMatch: Flow Matching for Mixnet Traffic. Proceedings on Privacy Enhancing Technologies. 2024(2). 276–294. 1 indexed citations
4.
Díaz, Claudia, et al.. (2024). Blending Different Latency Traffic With Beta Mixing. Proceedings on Privacy Enhancing Technologies. 2024(2). 464–478. 4 indexed citations
5.
Chabert, Stéren, Julio Sotelo, Denis Parra, et al.. (2023). A named entity recognition framework using transformers to identify relevant clinical findings from mammographic radiological reports. 46–46. 3 indexed citations
6.
Gosain, Devashish, et al.. (2023). On the Anonymity of Peer-To-Peer Network Anonymity Schemes Used by Cryptocurrencies. Lirias (KU Leuven). 6 indexed citations
7.
Moonsamy, Veelasha, et al.. (2021). Less is More: A privacy-respecting Android malware classifier using federated learning. SHILAP Revista de lepidopterología. 27 indexed citations
8.
Shirazi, Fatemeh, et al.. (2018). A Survey on Routing in Anonymous Communication Protocols. ACM Computing Surveys. 51(3). 1–39. 45 indexed citations
10.
Juárez, Marc, et al.. (2016). Toward an Efficient Website Fingerprinting Defense for Tor. Lecture notes in computer science. 9878. 27–46. 2 indexed citations
11.
Juárez, Marc, Sadia Afroz, Güneş Acar, Claudia Díaz, & Rachel Greenstadt. (2014). A Critical Evaluation of Website Fingerprinting Attacks. 263–274. 203 indexed citations
12.
Díaz, Claudia, et al.. (2013). Hero or Villain: The Data Controller in Privacy Law and Technologies. The Knowledge Bank (The Ohio State University). 74(6). 923–964. 7 indexed citations
13.
Díaz, Claudia. (2012). Selección y priorizacion de delitos como estrategia de investigacion en la justicia transicional. Revista de la Facultad de Derecho y Ciencias Políticas. 42(117). 515–579. 1 indexed citations
14.
Atluri, Vijayalakshmi & Claudia Díaz. (2011). Computer security - ESORICS 2011 : 16th European Symposium on Research in Computer Security, Leuven, Belgium, September 12-14 2011 : proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 6 indexed citations
15.
Gürses, Seda, Carmela Troncoso, & Claudia Díaz. (2011). Engineering Privacy by Design. Lirias (KU Leuven). 113 indexed citations
17.
Díaz, Claudia, George Danezis, Christian Grothoff, Andreas Pfitzmann, & Paul Syverson. (2005). Panel discussion - Mix cascades versus Peer-to-Peer: Is one concept superior?. UCL Discovery (University College London). 2 indexed citations
18.
Díaz, Claudia & Bart Preneel. (2004). Reasoning about the anonymity provided by pool mixes that generate dummy traffic. Lecture notes in computer science. 3200. 309–325. 2 indexed citations
19.
Böhme, Rainer, George Danezis, Claudia Díaz, Stefan Köpsell, & Andreas Pfitzmann. (2004). Mix Cascades vs. Peer-to-Peer: Is One Concept Superior?. Lecture notes in computer science. 3424. 243–255. 6 indexed citations
20.
Díaz, Claudia, Joris Claessens, & Bart Preneel. (2003). APES: Anonymity and Privacy in Electronic Services. 27(3). 143–145. 29 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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