Bobak Shahriari

About

Bobak Shahriari is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Bobak Shahriari has authored 5 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 3 papers in Management Science and Operations Research. Recurrent topics in Bobak Shahriari’s work include Advanced Bandit Algorithms Research (3 papers), Gaussian Processes and Bayesian Inference (2 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). Bobak Shahriari is often cited by papers focused on Advanced Bandit Algorithms Research (3 papers), Gaussian Processes and Bayesian Inference (2 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). Bobak Shahriari collaborates with scholars based in United States, Canada and United Kingdom. Bobak Shahriari's co-authors include Nando de Freitas, Ziyu Wang, Ryan P. Adams, Kevin Swersky, Matthew D. Hoffman, Alexandre Bouchard‐Côté, Nilima Nigam, Josh Merel, Scott Reed and Noah Siegel and has published in prestigious journals such as Proceedings of the IEEE, Computers & Mathematics with Applications and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Bobak Shahriari i

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Fields of papers citing papers by Bobak Shahriari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bobak Shahriari

Since Specialization

Citations

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

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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