Fernando Peruani

66 papers and 3.5k indexed citations i.

About

Fernando Peruani is a scholar working on Condensed Matter Physics, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Fernando Peruani has authored 66 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Condensed Matter Physics, 23 papers in Molecular Biology and 18 papers in Statistical and Nonlinear Physics. Recurrent topics in Fernando Peruani’s work include Micro and Nano Robotics (43 papers), Diffusion and Search Dynamics (20 papers) and Modular Robots and Swarm Intelligence (13 papers). Fernando Peruani is often cited by papers focused on Micro and Nano Robotics (43 papers), Diffusion and Search Dynamics (20 papers) and Modular Robots and Swarm Intelligence (13 papers). Fernando Peruani collaborates with scholars based in France, Germany and Argentina. Fernando Peruani's co-authors include Markus Bär, Andreas Deutsch, Oleksandr Chepizhko, Hugues Chaté, Francesco Ginelli, Markus Bär, Robert Großmann, Luis G. Morelli, Guillaume Grégoire and Franck Raynaud and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

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

Fields of papers citing papers by Fernando Peruani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fernando Peruani

Since Specialization
Citations

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