Ignacio Algredo‐Badillo

479 citations
46 papers · 299 · h-index 10

Impact in

Papers in

Ignacio Algredo‐Badillo

43 papers receiving 272 citations

Peers

Ignacio Algredo‐Badillo
Comparison fields: 5 of 55
  • Hardware and Architecture 47
  • Artificial Intelligence 174
  • Computer Vision and Pattern Recognition 89
  • Information Systems 82
  • Signal Processing 31
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Citations per field
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Citations per year

Countries citing papers authored by Ignacio Algredo‐Badillo

Since Specialization
Citations

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

Fields of papers citing papers by Ignacio Algredo‐Badillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Ignacio Algredo‐Badillo, 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 Algredo‐Badillo Line = papers co-authored together Ignacio Algredo‐Badillo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201244
2 201339
3 201019
4 201813
5 202113
6 200812
7 201111
8 200811
9 202011
10 20239
11 20218
12 20187
13 20087
14 20216
15 20226
16 20236
17 20196
18 20225
19 20115
20 20225

About Ignacio Algredo‐Badillo

Ignacio Algredo‐Badillo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Electrical and Electronic Engineering, having authored 46 papers that have together received 299 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (18 papers), Coding theory and cryptography (12 papers), Chaos-based Image/Signal Encryption (10 papers), Cryptography and Residue Arithmetic (9 papers), Cryptography and Data Security (5 papers), Autonomous Vehicle Technology and Safety (3 papers), Advanced Malware Detection Techniques (3 papers) and Blockchain Technology Applications and Security (3 papers). The work is most often cited by research in Hardware and Architecture (47 citations), Artificial Intelligence (174 citations), Computer Vision and Pattern Recognition (89 citations), Information Systems (82 citations) and Signal Processing (31 citations). Ignacio Algredo‐Badillo has collaborated with scholars based in Mexico, Canada and Colombia. Frequent co-authors include Miguel Morales‐Sandoval, René Cumplido, Claudia Feregrino-Uribe, Carlos Hernández, Héctor Rodríguez, Carolina Del-Valle-Soto, Ana Dalia Pano-Azucena, Jorge Antonio Orozco Torres, Francisco López-Huerta and Agustín L. Herrera‐May. Their work appears in journals such as Sensors, Applied Sciences, Computers & Electrical Engineering, Journal of Intelligent & Fuzzy Systems and PLoS ONE.

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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