Ignacio Cascudo

873 citations
33 papers · 562 · h-index 14

Impact in

Papers in

Ignacio Cascudo

32 papers receiving 550 citations

Peers

Ignacio Cascudo
Comparison fields: 5 of 38
  • Artificial Intelligence 492
  • Computational Theory and Mathematics 167
  • Information Systems 195
  • Discrete Mathematics and Combinatorics 26
  • Computer Networks and Communications 109
Replace Xiaoni Du with:
Xiaoni Du China
Daniel Augot France
Carlos Aguilar Melchor France
Edoardo Persichetti United States
Ayoub Otmani France
Robert Gallant Canada
Stanislav Bulygin Germany
Eran Omri Israel
Razvan Barbulescu France
G.L. Feng United States
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Citations per field
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Citations per year

Countries citing papers authored by Ignacio Cascudo

Since Specialization
Citations

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

Fields of papers citing papers by Ignacio Cascudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Ignacio Cascudo, 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 Ignacio Cascudo Line = papers co-authored together Ignacio Cascudo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201796
2 200946
3 201845
4 202142
5 201538
6 202037
7 201931
8 201127
9 201324
10 200820
11 201618
12 201517
13 202215
14 201115
15 201812
16 201412
17 20169
18 20248
19 20128
20 20197

About Ignacio Cascudo

Ignacio Cascudo is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 562 indexed citations. Recurring topics across this work include Cryptography and Data Security (30 papers), Coding theory and cryptography (13 papers), Complexity and Algorithms in Graphs (11 papers), Privacy-Preserving Technologies in Data (8 papers), Cryptography and Residue Arithmetic (7 papers), graph theory and CDMA systems (5 papers), Chaos-based Image/Signal Encryption (4 papers) and Blockchain Technology Applications and Security (3 papers). The work is most often cited by research in Artificial Intelligence (492 citations), Computational Theory and Mathematics (167 citations), Information Systems (195 citations), Discrete Mathematics and Combinatorics (26 citations) and Computer Networks and Communications (109 citations). Ignacio Cascudo has collaborated with scholars based in Denmark, Spain and Netherlands. Frequent co-authors include Bernardo David, Ronald Cramer, Chaoping Xing, Hao Chen, Ivan Damgård, Dario Fiore, Chen Yuan, Dongwoo Kim, Gilles Zémor and Mads Græsbøll Christensen. Their work appears in journals such as IEEE Transactions on Information Theory, Lecture notes in computer science, SIAM Journal on Discrete Mathematics, Data Archiving and Networked Services (DANS) and VBN Forskningsportal (Aalborg Universitet).

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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