Per Block

2.5k total citations · 1 hit paper
24 papers, 1.4k citations indexed

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 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 10 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 (10 papers), Opinion Dynamics and Social Influence (8 papers) and Evolutionary Game Theory and Cooperation (5 papers). Per Block is often cited by papers focused on Complex Network Analysis Techniques (10 papers), Opinion Dynamics and Social Influence (8 papers) and Evolutionary Game Theory and Cooperation (5 papers). Per Block collaborates with scholars based in Switzerland, United Kingdom and United States. Per Block's co-authors include Christoph Stadtfeld, Valentina Rotondi, Xuejie Ding, Melinda Mills, David M. Brazel, Liliana Andriano, Jennifer B. Dowd, Thomas Grund, Barbara König and Patrícia C. Lopes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Child Development and Scientific Reports.

In The Last Decade

Per Block

22 papers receiving 1.4k citations

Hit Papers

Demographic science aids in understanding the spread and ... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Per Block Switzerland 13 399 351 273 235 175 24 1.4k
Alessandro Galeazzi Italy 11 992 2.5× 396 1.1× 319 1.2× 282 1.2× 71 0.4× 24 2.1k
Ana Lucía Schmidt Italy 10 572 1.4× 391 1.1× 152 0.6× 260 1.1× 93 0.5× 17 1.4k
Brennan Klein United States 12 234 0.6× 1.3k 3.8× 129 0.5× 679 2.9× 289 1.7× 29 2.3k
William J. Brady United States 23 1.5k 3.7× 95 0.3× 247 0.9× 117 0.5× 53 0.3× 51 2.7k
Alexander Bor Denmark 14 754 1.9× 147 0.4× 48 0.2× 136 0.6× 133 0.8× 30 1.3k
Anne Marthe van der Bles Netherlands 9 1.5k 3.8× 344 1.0× 51 0.2× 422 1.8× 192 1.1× 11 2.7k
Yunhao Zhang United States 5 1.0k 2.6× 138 0.4× 80 0.3× 99 0.4× 40 0.2× 7 1.3k
Krista J. Gile United States 17 903 2.3× 43 0.1× 296 1.1× 132 0.6× 768 4.4× 37 2.5k
Katherine Stovel United States 17 853 2.1× 32 0.1× 294 1.1× 165 0.7× 134 0.8× 24 2.0k
Jay Joseph Van Bavel United States 20 1.3k 3.3× 108 0.3× 189 0.7× 132 0.6× 18 0.1× 47 2.1k

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).

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.

Co-authorship network of co-authors of Per Block

This figure shows the co-authorship network connecting the top 25 collaborators of Per Block. A scholar is included among the top collaborators of Per Block based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Per Block. Per Block is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Block, Per & Jan Ö. Jönsson. (2025). The socio-organisational embeddedness of work-life mobility. Research in Social Stratification and Mobility. 97. 101032–101032.
2.
Raabe, Isabel J. & Per Block. (2024). The gendered maths confidence gap, social influence and social integration. European Societies. 26(5). 1596–1631. 2 indexed citations
3.
Block, Per. (2022). Understanding the self-organization of occupational sex segregation with mobility networks. Social Networks. 73. 42–50. 7 indexed citations
4.
Block, Per, James Hollway, Christoph Stadtfeld, Johan Koskinen, & Tom A. B. Snijders. (2022). Circular specifications and “predicting” with information from the future: Errors in the empirical SAOM–TERGM comparison of Leifeld & Cranmer. Network Science. 10(1). 3–14. 6 indexed citations
5.
Block, Per, Christoph Stadtfeld, & Garry Robins. (2021). A statistical model for the analysis of mobility tables as weighted networks with an application to faculty hiring networks. Social Networks. 68. 264–278. 5 indexed citations
6.
Block, Per & Stephanie Burnett Heyes. (2020). Sharing the load: Contagion and tolerance of mood in social networks.. Emotion. 22(6). 1193–1207. 10 indexed citations
7.
Dowd, Jennifer B., Liliana Andriano, David M. Brazel, et al.. (2020). Demographic science aids in understanding the spread and fatality rates of COVID-19. Proceedings of the National Academy of Sciences. 117(18). 9696–9698. 589 indexed citations breakdown →
8.
Vörös, András, Per Block, & Zsófia Boda. (2019). Limits to inferring status from friendship relations. Social Networks. 59. 77–97. 12 indexed citations
9.
Block, Per. (2018). Network Evolution and Social Situations. Sociological Science. 5. 402–431. 22 indexed citations
10.
Liew, A.C., et al.. (2018). Load-path optimisation of funicular networks. DSpace@MIT (Massachusetts Institute of Technology).
11.
Block, Per, Johan Koskinen, James Hollway, Christian Steglich, & Christoph Stadtfeld. (2018). Change we can believe in. 1 indexed citations
12.
Stadtfeld, Christoph & Per Block. (2017). Interactions, Actors, and Time: Dynamic Network Actor Models for Relational Events. Sociological Science. 4. 318–352. 59 indexed citations
13.
Block, Per, Lauren C. Heathcote, & Stephanie Burnett Heyes. (2017). Social interaction and pain: An arctic expedition. Social Science & Medicine. 196. 47–55. 16 indexed citations
14.
Block, Per, Johan Koskinen, James Hollway, Christian Steglich, & Christoph Stadtfeld. (2017). Change we can believe in: Comparing longitudinal network models on consistency, interpretability and predictive power. Social Networks. 52. 180–191. 70 indexed citations
15.
Stadtfeld, Christoph, James Hollway, & Per Block. (2017). Rejoinder: DyNAMs and the Grounds for Actor-oriented Network Event Models. Sociological Methodology. 47(1). 56–67. 7 indexed citations
16.
Lopes, Patrícia C., Per Block, & Barbara König. (2016). Infection-induced behavioural changes reduce connectivity and the potential for disease spread in wild mice contact networks. Scientific Reports. 6(1). 31790–31790. 134 indexed citations
17.
Block, Per, Christoph Stadtfeld, & Tom A. B. Snijders. (2016). Forms of Dependence: Comparing SAOMs and ERGMs From Basic Principles. Sociological Methods & Research. 48(1). 202–239. 74 indexed citations
18.
Heyes, Stephanie Burnett, et al.. (2015). Relationship Reciprocation Modulates Resource Allocation in Adolescent Social Networks: Developmental Effects. Child Development. 86(5). 1489–1506. 43 indexed citations
19.
Block, Per & Thomas Grund. (2014). Multidimensional homophily in friendship networks. Network Science. 2(2). 189–212. 122 indexed citations
20.
Block, Per. (2014). Reciprocity, transitivity, and the mysterious three-cycle. Social Networks. 40. 163–173. 164 indexed citations

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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