David Núñez

519 total citations
17 papers, 222 citations indexed

About

David Núñez is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, David Núñez has authored 17 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Information Systems and 3 papers in Computer Networks and Communications. Recurrent topics in David Núñez's work include Cryptography and Data Security (11 papers), Cloud Data Security Solutions (10 papers) and Privacy-Preserving Technologies in Data (7 papers). David Núñez is often cited by papers focused on Cryptography and Data Security (11 papers), Cloud Data Security Solutions (10 papers) and Privacy-Preserving Technologies in Data (7 papers). David Núñez collaborates with scholars based in Spain, United States and United Kingdom. David Núñez's co-authors include Isaac Agudo, Javier López, Giuseppe Ateniese, Daniele Venturi, Danilo Francati, Carmen Fernández-Gago, Cristina Alcaraz, Siani Pearson, Massimo De Felici and Jesús Luna and has published in prestigious journals such as Journal of Network and Computer Applications, Computers & Security and Journal of Cryptology.

In The Last Decade

David Núñez

14 papers receiving 205 citations

Peers

David Núñez
Comparison fields: 5 of 35
  • Artificial Intelligence 165
  • Information Systems 131
  • Computer Networks and Communications 57
  • Sociology and Political Science 33
  • Computational Theory and Mathematics 19
Replace Lunjin Lu with:
Lunjin Lu United States
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Mohamed Dâfir Ech-Cherif El Kettani Morocco
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Arkady Yerukhimovich United States
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Citations per field, relative to David Núñez
David Núñez · 1×
Citations per year, relative to David Núñez
David Núñez · 1×

Countries citing papers authored by David Núñez

Since Specialization
Citations

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

Fields of papers citing papers by David Núñez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Núñez

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 29
2 1
3 47
4 6
5
D:A4.1 Socio-economic impact assessment
1
6 3
7 28
8 5
9
Tools for Cloud Accountability: A4Cloud Tutorial
1
10 5
11 30
12
D:C-6.1 : Risk and trust accountability in the cloud
1
13
Leveraging Privacy in Identity Management as a Service through Proxy Re-Encryption
0
14
Towards a model of accountability for cloud computing services
10
15 16
16 20
17 19

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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