Fernando Esponda

12 papers and 299 indexed citations i.

About

Fernando Esponda is a scholar working on Artificial Intelligence, Biomedical Engineering and Statistics and Probability. According to data from OpenAlex, Fernando Esponda has authored 12 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Biomedical Engineering and 3 papers in Statistics and Probability. Recurrent topics in Fernando Esponda’s work include Survey Sampling and Estimation Techniques (3 papers), Artificial Immune Systems Applications (3 papers) and Network Security and Intrusion Detection (2 papers). Fernando Esponda is often cited by papers focused on Survey Sampling and Estimation Techniques (3 papers), Artificial Immune Systems Applications (3 papers) and Network Security and Intrusion Detection (2 papers). Fernando Esponda collaborates with scholars based in United States and Mexico. Fernando Esponda's co-authors include Stephanie Forrest, Paul Helman, Vı́ctor M. Guerrero, Deborah M. Gordon, Matthew Glickman, Justin Balthrop and Melanie Moses and has published in prestigious journals such as PLoS ONE, Philosophical Transactions of the Royal Society B Biological Sciences and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Co-authorship network of co-authors of Fernando Esponda i

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.

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).

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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2025