Finale Doshi

6 papers and 160 indexed citations
i
.

About

Finale Doshi is a scholar working on Artificial Intelligence, Molecular Biology and Statistics and Probability. According to data from OpenAlex, Finale Doshi has authored 6 papers receiving a total of 160 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Statistics and Probability. Recurrent topics in Finale Doshi’s work include Reinforcement Learning in Robotics (3 papers), Bayesian Modeling and Causal Inference (2 papers) and Multi-Agent Systems and Negotiation (2 papers). Finale Doshi is often cited by papers focused on Reinforcement Learning in Robotics (3 papers), Bayesian Modeling and Causal Inference (2 papers) and Multi-Agent Systems and Negotiation (2 papers). Finale Doshi collaborates with scholars based in United States, United Kingdom and Canada. Finale Doshi's co-authors include Nicholas Roy, Yee Whye Teh, Jurgen Van Gael, Joëlle Pineau, Nicholas Roy, Jonathan P. How, Josh Tenenbaum, Alborz Geramifard, David Wingate and Joshua Redding and has published in prestigious journals such as Connection Science, PubMed and International Conference on Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Finale Doshi

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

Finale Doshi

6 papers receiving 148 citations

Fields of papers citing papers by Finale Doshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Finale Doshi

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2026