Eytan Bakshy
- Sociology and Political Science top 0.5%
- Communication top 0.1%
- Statistical and Nonlinear Physics top 0.2%
- Artificial Intelligence top 1%
- Information Systems top 0.5%
- Co-authors
- Lada A. AdamicSolomon MessingWinter MasonDuncan J. WattsJake M. HofmanItamar RosennCameron MarlowBrian Karrer
- Topics
- Opinion Dynamics and Social Influence (10 papers)Complex Network Analysis Techniques (8 papers)Digital Marketing and Social Media (7 papers)
- Partner nations
- United StatesIsraelAustria
In The Last Decade
Eytan Bakshy
26 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Sociology and Political Science 2.6k
- Communication 2.2k
- Statistical and Nonlinear Physics 2.1k
- Artificial Intelligence 1.1k
- Information Systems 1.0k
Countries citing papers authored by Eytan Bakshy
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).
Fields of papers citing papers by Eytan Bakshy
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.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization | 2 |
| 5 | High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization | 3 |
| 6 | 15 | |
| 7 | 63 | |
| 8 | 61 | |
| 9 | Exposure to ideologically diverse news and opinion on Facebookbreakdown → | 1792 |
| 10 | 13 | |
| 11 | 85 | |
| 12 | 17 | |
| 13 | 8 | |
| 14 | 135 | |
| 15 | Everyone's an influencer | 16 |
| 16 | 4 | |
| 17 | 14 | |
| 18 | 209 | |
| 19 | Knowledge sharing and Yahoo Answers: Everyone knows something | 60 |
| 20 | Knowledge sharing and yahoo answersbreakdown → | 511 |
About Eytan Bakshy
Eytan Bakshy is a scholar working on Communication, Statistical and Nonlinear Physics and Computer Science Applications, having authored 30 papers that have together received 5.4k indexed citations. Recurring topics across this work include Opinion Dynamics and Social Influence (10 papers), Complex Network Analysis Techniques (8 papers) and Digital Marketing and Social Media (7 papers). The work is most often cited by research in Communication (2.2k citations), Statistical and Nonlinear Physics (2.1k citations) and Computer Science Applications (456 citations). Eytan Bakshy has collaborated with scholars based in United States, Israel and Austria. Frequent co-authors include Lada A. Adamic, Solomon Messing, Winter Mason, Duncan J. Watts, Jake M. Hofman, Itamar Rosenn, Cameron Marlow, Brian Karrer, Mark S. Ackerman and Jun Zhang. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.
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.