Fernando Esponda

938 citations
15 papers · 498 · h-index 11

Impact in

    • Mobile Crowdsensing and Crowdsourcing
    • Privacy-Preserving Technologies in Data
    • Anomaly Detection Techniques and Applications
    • Internet Traffic Analysis and Secure E-voting
    • Cryptography and Data Security

Papers in

    • Privacy-Preserving Technologies in Data 3
    • Anomaly Detection Techniques and Applications 2
    • Internet Traffic Analysis and Secure E-voting 1
    • Artificial Immune Systems Applications 5

Fernando Esponda

14 papers receiving 451 citations

Peers

Fernando Esponda
Comparison fields: 5 of 52
  • Computer Science Applications 53
  • Artificial Intelligence 275
  • Signal Processing 87
  • Computer Networks and Communications 136
  • Biomedical Engineering 187
Replace Yadong Xie with:
Yadong Xie China
Wilhelmiina Hämäläinen Finland
Yao-Chung Fan Taiwan
Andrew Watkins United States
Jose Luis Fernandez-Marquez Switzerland
Ronghui Zhang China
Randall Reynolds United States
Lois Boggess United States
Kwangjin Park South Korea
Vlad-Mihai Sima Netherlands
Fernando Esponda relative to Yadong Xie China Yadong Xie's profile →
Citations per field
00.5×7.6×
Yadong Xie · 1×
Citations per year

Countries citing papers authored by Fernando Esponda

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Esponda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Fernando Esponda, 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 Fernando Esponda Line = papers co-authored together Fernando Esponda links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2004116
2
Coverage and generalization in an artificial immune system
200280
3 200764
4 200744
5 201535
6 200935
7 200934
8
Negative Surveys
200625
9 200823
10
On-line Negative Databases.
200513
11 201610
12 20199
13
Detector coverage under the r-contiguous bits matching rule
20028
14
Online negative databases
20041
15
Immune System Inspired Digital Data Representations: Storing all but the valuable data
20091

About Fernando Esponda

Fernando Esponda is a scholar working on Artificial Intelligence, Biomedical Engineering, Computer Networks and Communications, Statistics and Probability and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 498 indexed citations. Recurring topics across this work include Artificial Immune Systems Applications (5 papers), Survey Sampling and Estimation Techniques (3 papers), Privacy-Preserving Technologies in Data (3 papers), Network Security and Intrusion Detection (3 papers), Advanced Steganography and Watermarking Techniques (2 papers), Anomaly Detection Techniques and Applications (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers) and Internet Traffic Analysis and Secure E-voting (1 paper). The work is most often cited by research in Computer Science Applications (53 citations), Artificial Intelligence (275 citations), Signal Processing (87 citations), Computer Networks and Communications (136 citations) and Biomedical Engineering (187 citations). Fernando Esponda has collaborated with scholars based in United States and Mexico. Frequent co-authors include Stephanie Forrest, Paul Helman, Vı́ctor M. Guerrero, Justin Balthrop, Matthew Glickman, Deborah M. Gordon, Elena S. Ackley and Melanie E. Moses. Their work appears in journals such as International Journal of Information Security, Philosophical Transactions of the Royal Society B Biological Sciences, Proceedings of the Royal Society B Biological Sciences, IEEE Computational Intelligence Magazine 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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