Vanesa Daza

33 papers and 279 indexed citations i.

About

Vanesa Daza is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Vanesa Daza has authored 33 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 15 papers in Computer Networks and Communications and 12 papers in Information Systems. Recurrent topics in Vanesa Daza’s work include Cryptography and Data Security (12 papers), Blockchain Technology Applications and Security (11 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Vanesa Daza is often cited by papers focused on Cryptography and Data Security (12 papers), Blockchain Technology Applications and Security (11 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Vanesa Daza collaborates with scholars based in Spain, Italy and France. Vanesa Daza's co-authors include Josep Domingo‐Ferrer, Francesc Sebé, Alexandre Viejo, Matteo Signorini, Javier Herranz, Roberto Di Pietro, Carla Ràfols, Paz Morillo, Carles Padró and Antoni Martínez-Ballesté and has published in prestigious journals such as IEEE Transactions on Information Theory, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Vanesa Daza i

Fields of papers citing papers by Vanesa Daza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vanesa Daza

Since Specialization
Citations

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