Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Exposure to ideologically diverse news and opinion on Facebook
20151.8k citationsEytan Bakshy, Solomon Messing et al.Scienceprofile →
Everyone's an influencer
20111.1k citationsEytan Bakshy, Jake M. Hofman et al.profile →
The role of social networks in information diffusion
2012898 citationsEytan Bakshy, Itamar Rosenn et al.profile →
Knowledge sharing and yahoo answers
2008511 citationsLada A. Adamic, Eytan Bakshy et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Eytan Bakshy'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 Eytan Bakshy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eytan Bakshy more than expected).
This network shows the impact of papers produced by Eytan Bakshy. 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 Eytan Bakshy. The network helps show where Eytan Bakshy may publish in the future.
Co-authorship network of co-authors of Eytan Bakshy
This figure shows the co-authorship network connecting the top 25 collaborators of Eytan Bakshy.
A scholar is included among the top collaborators of Eytan Bakshy 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 Eytan Bakshy. Eytan Bakshy is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wu, Han, Sarah Tan, Weiwei Li, et al.. (2022). Interpretable Personalized Experimentation. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 4173–4183.
Bakshy, Eytan, Solomon Messing, & Lada A. Adamic. (2015). Exposure to ideologically diverse news and opinion on Facebook. Science. 348(6239). 1130–1132.1792 indexed citations breakdown →
Maroulis, Spiro, Eytan Bakshy, Louis M. Gomez, & Uri Wilensky. (2014). Modeling the Transition to Public School Choice. Journal of Artificial Societies and Social Simulation. 17(2).17 indexed citations
Adamic, Lada A., Jun Zhang, Eytan Bakshy, & Mark S. Ackerman. (2008). Knowledge sharing and Yahoo Answers: Everyone knows something. Deep Blue (University of Michigan).60 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.