Juan Pablo Neirotti

34 papers and 659 indexed citations i.

About

Juan Pablo Neirotti is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, Juan Pablo Neirotti has authored 34 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Atomic and Molecular Physics, and Optics and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in Juan Pablo Neirotti’s work include Advanced Chemical Physics Studies (7 papers), Neural Networks and Applications (6 papers) and Opinion Dynamics and Social Influence (5 papers). Juan Pablo Neirotti is often cited by papers focused on Advanced Chemical Physics Studies (7 papers), Neural Networks and Applications (6 papers) and Opinion Dynamics and Social Influence (5 papers). Juan Pablo Neirotti collaborates with scholars based in United Kingdom, United States and Brazil. Juan Pablo Neirotti's co-authors include J. D. Doll, David L. Freeman, F. Calvo, Sabre Kais, Pablo Serra, David Saad, Mário J. de Oliveira, Leonardo Franco, Nestor Caticha and Anikó Ekárt and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Physical Review A.

In The Last Decade

Co-authorship network of co-authors of Juan Pablo Neirotti i

Fields of papers citing papers by Juan Pablo Neirotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan Pablo Neirotti. 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 Juan Pablo Neirotti. The network helps show where Juan Pablo Neirotti may publish in the future.

Countries citing papers authored by Juan Pablo Neirotti

Since Specialization
Citations

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