Lev Muchnik

41 papers and 4.4k indexed citations i.

About

Lev Muchnik is a scholar working on Statistical and Nonlinear Physics, Communication and Molecular Biology. According to data from OpenAlex, Lev Muchnik has authored 41 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistical and Nonlinear Physics, 10 papers in Communication and 8 papers in Molecular Biology. Recurrent topics in Lev Muchnik’s work include Complex Network Analysis Techniques (20 papers), Opinion Dynamics and Social Influence (20 papers) and Social Media and Politics (8 papers). Lev Muchnik is often cited by papers focused on Complex Network Analysis Techniques (20 papers), Opinion Dynamics and Social Influence (20 papers) and Social Media and Politics (8 papers). Lev Muchnik collaborates with scholars based in Israel, United States and China. Lev Muchnik's co-authors include Sinan Aral, Hernán A. Makse, Shlomo Havlin, H. Eugene Stanley, Maksim Kitsak, Fredrik Liljeros, Lazaros K. Gallos, Arun Sundararajan, Sean J. Taylor and Sen Pei and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Lev Muchnik i

Fields of papers citing papers by Lev Muchnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lev Muchnik

Since Specialization
Citations

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