Dean Eckles

5.3k total citations · 1 hit paper
47 papers, 2.4k citations indexed

About

Dean Eckles is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Dean Eckles has authored 47 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Sociology and Political Science, 14 papers in Statistical and Nonlinear Physics and 9 papers in Artificial Intelligence. Recurrent topics in Dean Eckles's work include Misinformation and Its Impacts (11 papers), Opinion Dynamics and Social Influence (11 papers) and Complex Network Analysis Techniques (9 papers). Dean Eckles is often cited by papers focused on Misinformation and Its Impacts (11 papers), Opinion Dynamics and Social Influence (11 papers) and Complex Network Analysis Techniques (9 papers). Dean Eckles collaborates with scholars based in United States, Israel and United Kingdom. Dean Eckles's co-authors include Mohsen Mosleh, David G. Rand, Eytan Bakshy, Gordon Pennycook, Ziv Epstein, Antonio A. Arechar, Sinan Aral, B. J. Fogg, Mor Naaman and Lada A. Adamic and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Dean Eckles

47 papers receiving 2.3k citations

Hit Papers

Shifting attention to accuracy can reduce misinformation ... 2021 2026 2022 2024 2021 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
Dean Eckles United States 23 1.4k 561 502 371 324 47 2.4k
Jamie Guillory United States 19 1.3k 0.9× 510 0.9× 393 0.8× 343 0.9× 173 0.5× 42 3.0k
David Rothschild United States 21 3.3k 2.4× 1.4k 2.5× 997 2.0× 535 1.4× 619 1.9× 67 4.8k
Luke Sloan United Kingdom 18 996 0.7× 537 1.0× 474 0.9× 271 0.7× 234 0.7× 45 1.9k
Robert M. Bond United States 13 1.3k 1.0× 950 1.7× 311 0.6× 632 1.7× 160 0.5× 45 2.5k
Gueorgi Kossinets United States 9 978 0.7× 413 0.7× 440 0.9× 1.3k 3.5× 310 1.0× 12 2.9k
Cécile Paris Australia 29 872 0.6× 248 0.4× 2.5k 5.1× 268 0.7× 894 2.8× 243 4.5k
Eytan Bakshy United States 16 2.6k 1.8× 2.2k 3.8× 1.1k 2.2× 2.1k 5.6× 1.0k 3.2× 30 5.4k
Aron Culotta United States 30 696 0.5× 387 0.7× 2.0k 3.9× 351 0.9× 578 1.8× 72 3.3k
Winter Mason United States 18 1.5k 1.1× 881 1.6× 715 1.4× 1.5k 4.1× 515 1.6× 35 4.1k
Matthew Williams United Kingdom 33 1.9k 1.3× 989 1.8× 1.4k 2.9× 290 0.8× 883 2.7× 112 3.9k

Countries citing papers authored by Dean Eckles

Since Specialization
Citations

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

Fields of papers citing papers by Dean Eckles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dean Eckles

This figure shows the co-authorship network connecting the top 25 collaborators of Dean Eckles. A scholar is included among the top collaborators of Dean Eckles 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 Dean Eckles. Dean Eckles 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.
Mosleh, Mohsen, Dean Eckles, & David G. Rand. (2025). Tendencies toward triadic closure: Field experimental evidence. Proceedings of the National Academy of Sciences. 122(27). e2404590122–e2404590122. 1 indexed citations
2.
Eckles, Dean, Elchanan Mossel, M. Amin Rahimian, & Subhabrata Sen. (2024). Long ties accelerate noisy threshold-based contagions. Nature Human Behaviour. 8(6). 1057–1064. 2 indexed citations
3.
Eckles, Dean, et al.. (2023). Targeting for Long-Term Outcomes. Management Science. 70(6). 3841–3855. 11 indexed citations
4.
Jahani, Eaman, Samuel P. Fraiberger, Michael Bailey, & Dean Eckles. (2023). Long ties, disruptive life events, and economic prosperity. Proceedings of the National Academy of Sciences. 120(28). e2211062120–e2211062120. 18 indexed citations
5.
Moehring, Alex, Avinash Collis, Kiran Garimella, et al.. (2023). Providing normative information increases intentions to accept a COVID-19 vaccine. Nature Communications. 14(1). 126–126. 31 indexed citations
6.
Eckles, Dean, et al.. (2023). Algorithmic Pricing and Consumer Sensitivity to Price Variability. SSRN Electronic Journal. 3 indexed citations
7.
Collis, Avinash, Kiran Garimella, Alex Moehring, et al.. (2022). Global survey on COVID-19 beliefs, behaviours and norms. Nature Human Behaviour. 6(9). 1310–1317. 36 indexed citations
8.
Eckles, Dean, Hossein Esfandiari, Elchanan Mossel, & M. Amin Rahimian. (2022). Seeding with Costly Network Information. Operations Research. 70(4). 2318–2348. 4 indexed citations
10.
Eckles, Dean, et al.. (2021). Evaluating Stochastic Seeding Strategies in Networks. Management Science. 68(3). 1714–1736. 20 indexed citations
11.
Mosleh, Mohsen, Cameron Martel, Dean Eckles, & David G. Rand. (2021). Shared partisanship dramatically increases social tie formation in a Twitter field experiment. Proceedings of the National Academy of Sciences. 118(7). 58 indexed citations
12.
Pennycook, Gordon, Ziv Epstein, Mohsen Mosleh, et al.. (2021). Shifting attention to accuracy can reduce misinformation online. Nature. 592(7855). 590–595. 556 indexed citations breakdown →
13.
Yarkoni, Tal, Dean Eckles, James Heathers, et al.. (2021). Enhancing and Accelerating Social Science Via Automation: Challenges and Opportunities. SHILAP Revista de lepidopterología. 8 indexed citations
14.
Moehring, Alex, Avinash Collis, Kiran Garimella, et al.. (2021). Providing normative information increases intentions to accept a COVID-19 vaccine. PsyArXiv (OSF Preprints). 18 indexed citations
15.
Jakesch, Maurice, Kiran Garimella, Dean Eckles, & Mor Naaman. (2021). Trend Alert: A Cross-Platform Organization Manipulated Twitter Trends in the Indian General Election. Proceedings of the ACM on Human-Computer Interaction. 5(CSCW2). 1–19. 20 indexed citations
16.
Holtz, David, Seth Benzell, M. Amin Rahimian, et al.. (2020). Interdependence and the cost of uncoordinated responses to COVID-19. Proceedings of the National Academy of Sciences. 117(33). 19837–19843. 121 indexed citations
17.
Pennycook, Gordon, Ziv Epstein, Mohsen Mosleh, et al.. (2020). Understanding and Reducing the Spread of Misinformation Online. ACR North American Advances. 27 indexed citations
18.
Eckles, Dean & Maurits Kaptein. (2019). Bootstrap Thompson Sampling and Sequential Decision Problems in the Behavioral Sciences. SAGE Open. 9(2). 11 indexed citations
19.
Jones, Jason, Robert M. Bond, Eytan Bakshy, Dean Eckles, & James H. Fowler. (2017). Social influence and political mobilization: Further evidence from a randomized experiment in the 2012 U.S. presidential election. PLoS ONE. 12(4). e0173851–e0173851. 63 indexed citations
20.
Eckles, Dean, René F. Kizilcec, & Eytan Bakshy. (2016). Estimating peer effects in networks with peer encouragement designs. Proceedings of the National Academy of Sciences. 113(27). 7316–7322. 61 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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