Pedro G. Lind

103 papers and 1.6k indexed citations i.

About

Pedro G. Lind is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Economics and Econometrics. According to data from OpenAlex, Pedro G. Lind has authored 103 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Statistical and Nonlinear Physics, 16 papers in Computer Networks and Communications and 16 papers in Economics and Econometrics. Recurrent topics in Pedro G. Lind’s work include Complex Systems and Time Series Analysis (16 papers), Complex Network Analysis Techniques (15 papers) and Nonlinear Dynamics and Pattern Formation (15 papers). Pedro G. Lind is often cited by papers focused on Complex Systems and Time Series Analysis (16 papers), Complex Network Analysis Techniques (15 papers) and Nonlinear Dynamics and Pattern Formation (15 papers). Pedro G. Lind collaborates with scholars based in Germany, Portugal and Brazil. Pedro G. Lind's co-authors include Hans J. Herrmann, Marta C. González, Jason A. C. Gallas, Frank Raischel, Joachim Peinke, Ana Russo, Philipp Maass, José S. Andrade, L. R. da Silva and Matthias Wächter and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Pedro G. Lind i

Fields of papers citing papers by Pedro G. Lind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro G. Lind. 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 Pedro G. Lind. The network helps show where Pedro G. Lind may publish in the future.

Countries citing papers authored by Pedro G. Lind

Since Specialization
Citations

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