Joshua Becker

1.9k total citations · 1 hit paper
9 papers, 818 citations indexed

About

Joshua Becker is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics and Communication. According to data from OpenAlex, Joshua Becker has authored 9 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Sociology and Political Science, 5 papers in Statistical and Nonlinear Physics and 2 papers in Communication. Recurrent topics in Joshua Becker's work include Opinion Dynamics and Social Influence (5 papers), Misinformation and Its Impacts (3 papers) and Social Media and Politics (2 papers). Joshua Becker is often cited by papers focused on Opinion Dynamics and Social Influence (5 papers), Misinformation and Its Impacts (3 papers) and Social Media and Politics (2 papers). Joshua Becker collaborates with scholars based in United States, United Kingdom and Canada. Joshua Becker's co-authors include Damon Centola, Devon Brackbill, Andrea Baronchelli, Douglas Guilbeault, Ethan Porter, Sijia Yang, Natalie Herbert, Jingwen Zhang, Jaya Aysola and Elaine C. Khoong and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Joshua Becker

9 papers receiving 785 citations

Hit Papers

Experimental evidence for tipping points in social conven... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua Becker United States 6 389 246 122 89 65 9 818
Devon Brackbill United States 6 332 0.9× 190 0.8× 71 0.6× 116 1.3× 42 0.6× 7 770
James A. Kitts United States 11 580 1.5× 266 1.1× 165 1.4× 86 1.0× 12 0.2× 20 1.0k
Peter M. Aronow United States 19 641 1.6× 60 0.2× 196 1.6× 60 0.7× 30 0.5× 46 1.4k
Nicole M. Krause United States 14 989 2.5× 62 0.3× 391 3.2× 42 0.5× 27 0.4× 19 1.4k
Michael Pearson United Kingdom 14 514 1.3× 259 1.1× 87 0.7× 196 2.2× 13 0.2× 32 1.3k
Jay Joseph Van Bavel United States 20 1.3k 3.4× 189 0.8× 467 3.8× 69 0.8× 72 1.1× 47 2.1k
Kevin Mullinix United States 12 949 2.4× 46 0.2× 322 2.6× 40 0.4× 48 0.7× 20 1.5k
Luke Sloan United Kingdom 18 996 2.6× 271 1.1× 537 4.4× 83 0.9× 8 0.1× 45 1.9k
Elisa Bellotti United Kingdom 12 322 0.8× 100 0.4× 47 0.4× 101 1.1× 20 0.3× 29 672
Philipp Lorenz-Spreen Germany 16 704 1.8× 356 1.4× 347 2.8× 25 0.3× 18 0.3× 30 1.1k

Countries citing papers authored by Joshua Becker

Since Specialization
Citations

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

Fields of papers citing papers by Joshua Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Becker

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Becker. A scholar is included among the top collaborators of Joshua Becker 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 Joshua Becker. Joshua Becker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Centola, Damon, Joshua Becker, Jingwen Zhang, et al.. (2023). Experimental evidence for structured information–sharing networks reducing medical errors. Proceedings of the National Academy of Sciences. 120(31). e2108290120–e2108290120. 6 indexed citations
2.
Griffiths, Tom, Abdullah Almaatouq, Ekaterina Damer, et al.. (2021). Scaling up experimental social, behavioral, and economic science. OSF Preprints (OSF Preprints). 1 indexed citations
3.
Guilbeault, Douglas, Samuel Woolley, & Joshua Becker. (2021). Probabilistic social learning improves the public’s judgments of news veracity. PLoS ONE. 16(3). e0247487–e0247487. 4 indexed citations
4.
Becker, Joshua, Douglas Guilbeault, & Edward B. Smith. (2019). The Crowd Classification Problem. Academy of Management Proceedings. 2019(1). 13404–13404. 2 indexed citations
5.
Becker, Joshua, Ethan Porter, & Damon Centola. (2019). The wisdom of partisan crowds. Proceedings of the National Academy of Sciences. 116(22). 10717–10722. 57 indexed citations
6.
Centola, Damon, Joshua Becker, Devon Brackbill, & Andrea Baronchelli. (2018). Experimental evidence for tipping points in social convention. Science. 360(6393). 1116–1119. 344 indexed citations breakdown →
7.
Guilbeault, Douglas, Joshua Becker, & Damon Centola. (2018). Social learning and partisan bias in the interpretation of climate trends. Proceedings of the National Academy of Sciences. 115(39). 9714–9719. 111 indexed citations
8.
Becker, Joshua, Devon Brackbill, & Damon Centola. (2017). Network dynamics of social influence in the wisdom of crowds. Proceedings of the National Academy of Sciences. 114(26). E5070–E5076. 183 indexed citations
9.
Zhang, Jingwen, Devon Brackbill, Sijia Yang, et al.. (2016). Support or competition? How online social networks increase physical activity: A randomized controlled trial. Preventive Medicine Reports. 4. 453–458. 110 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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