Paz Morillo

681 citations
20 papers · 159 · h-index 8

Impact in

Papers in

Paz Morillo

19 papers receiving 135 citations

Peers

Paz Morillo
Comparison fields: 5 of 12
  • Computational Theory and Mathematics 72
  • Artificial Intelligence 122
  • Computer Networks and Communications 68
  • Information Systems 32
  • Computer Vision and Pattern Recognition 21
Replace Jaume Martí-Farré with:
Jaume Martí-Farré Spain
Kyu Young Choi South Korea
Ashish Choudhury India
Greg Zaverucha United Kingdom
Masaya Yasuda Japan
Carla Ràfols Spain
Jens Groth United Kingdom
Germán Sáez Spain
Shigeo Mitsunari Japan
Ben Riva Israel
Paz Morillo relative to Jaume Martí-Farré Spain Jaume Martí-Farré's profile →
Citations per field
00.5×1.5×2.3×
Jaume Martí-Farré · 1×
Citations per year

Countries citing papers authored by Paz Morillo

Since Specialization
Citations

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

Fields of papers citing papers by Paz Morillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Paz Morillo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Paz Morillo Line = papers co-authored together Paz Morillo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200737
2 199929
3 200717
4 199611
5 200310
6 19969
7 20028
8 20087
9 20107
10 20075
11 20044
12 20013
13 20043
14
A Practical Public Key Cryptosystemfrom Paillier and Rabin Schemes
20032
15 20222
16 19952
17 20011
18 19981
19 20131
20 19960

About Paz Morillo

Paz Morillo is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Information Systems, having authored 20 papers that have together received 159 indexed citations. Recurring topics across this work include Cryptography and Data Security (15 papers), Security in Wireless Sensor Networks (6 papers), Complexity and Algorithms in Graphs (6 papers), Cryptographic Implementations and Security (6 papers), Advanced Graph Theory Research (5 papers), Interconnection Networks and Systems (4 papers), Chaos-based Image/Signal Encryption (4 papers) and Cryptography and Residue Arithmetic (3 papers). The work is most often cited by research in Computational Theory and Mathematics (72 citations), Artificial Intelligence (122 citations), Computer Networks and Communications (68 citations), Information Systems (32 citations) and Computer Vision and Pattern Recognition (21 citations). Paz Morillo has collaborated with scholars based in Spain and Puerto Rico. Frequent co-authors include Carla Ràfols, Carles Padró, David Galindo, Jorge L. Villar, Vanesa Daza, Javier Herranz, Eduard Llobet, J. Gómez, Xavier Muñoz and M.A. Fiol. Their work appears in journals such as Discrete Applied Mathematics, Computer Networks, International Journal of Information Security, Designs Codes and Cryptography and Journal of Systems and Software.

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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