Per Block

23 papers and 1.7k indexed citations i.

About

Per Block is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics and Experimental and Cognitive Psychology. According to data from OpenAlex, Per Block has authored 23 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 11 papers in Statistical and Nonlinear Physics and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Per Block’s work include Complex Network Analysis Techniques (11 papers), Opinion Dynamics and Social Influence (9 papers) and Evolutionary Game Theory and Cooperation (5 papers). Per Block is often cited by papers focused on Complex Network Analysis Techniques (11 papers), Opinion Dynamics and Social Influence (9 papers) and Evolutionary Game Theory and Cooperation (5 papers). Per Block collaborates with scholars based in Switzerland, United Kingdom and The Netherlands. Per Block's co-authors include Melinda Mills, Jennifer B. Dowd, Christoph Stadtfeld, David M. Brazel, Liliana Andriano, Valentina Rotondi, Xuejie Ding, Thomas Grund, Marion Hoffman and Isabel J. Raabe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Child Development and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Per Block i

Fields of papers citing papers by Per Block

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Per Block

Since Specialization
Citations

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