Huber Nieto–Chaupis

37 papers and 21 indexed citations i.

About

Huber Nieto–Chaupis is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Modeling and Simulation. According to data from OpenAlex, Huber Nieto–Chaupis has authored 37 papers receiving a total of 21 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 9 papers in Cellular and Molecular Neuroscience and 9 papers in Modeling and Simulation. Recurrent topics in Huber Nieto–Chaupis’s work include Molecular Communication and Nanonetworks (11 papers), COVID-19 epidemiological studies (9 papers) and Wireless Body Area Networks (6 papers). Huber Nieto–Chaupis is often cited by papers focused on Molecular Communication and Nanonetworks (11 papers), COVID-19 epidemiological studies (9 papers) and Wireless Body Area Networks (6 papers). Huber Nieto–Chaupis collaborates with scholars based in Peru and Guatemala. Huber Nieto–Chaupis's co-authors include and and has published in prestigious journals such as International Journal of Advanced Computer Science and Applications, LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) and 2021 IEEE Symposium Series on Computational Intelligence (SSCI).

In The Last Decade

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Fields of papers citing papers by Huber Nieto–Chaupis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huber Nieto–Chaupis. 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 Huber Nieto–Chaupis. The network helps show where Huber Nieto–Chaupis may publish in the future.

Countries citing papers authored by Huber Nieto–Chaupis

Since Specialization
Citations

This map shows the geographic impact of Huber Nieto–Chaupis'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 Huber Nieto–Chaupis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huber Nieto–Chaupis 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