Maya Paczuski

90 papers and 4.4k indexed citations i.

About

Maya Paczuski is a scholar working on Condensed Matter Physics, Economics and Econometrics and Statistical and Nonlinear Physics. According to data from OpenAlex, Maya Paczuski has authored 90 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Condensed Matter Physics, 31 papers in Economics and Econometrics and 29 papers in Statistical and Nonlinear Physics. Recurrent topics in Maya Paczuski’s work include Theoretical and Computational Physics (47 papers), Complex Systems and Time Series Analysis (31 papers) and Complex Network Analysis Techniques (23 papers). Maya Paczuski is often cited by papers focused on Theoretical and Computational Physics (47 papers), Complex Systems and Time Series Analysis (31 papers) and Complex Network Analysis Techniques (23 papers). Maya Paczuski collaborates with scholars based in United States, Canada and United Kingdom. Maya Paczuski's co-authors include Per Bak, Marco Baiesi, Peter Grassberger, Sergei Maslov, Stefan Boettcher, Kai Nagel, Mehran Kardar, Golnoosh Bizhani, Seung‐Woo Son and Jörn Davidsen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Maya Paczuski i

Fields of papers citing papers by Maya Paczuski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maya Paczuski

Since Specialization
Citations

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