Finale Doshi‐Velez

96 papers and 3.1k indexed citations i.

About

Finale Doshi‐Velez is a scholar working on Artificial Intelligence, Epidemiology and Health Informatics. According to data from OpenAlex, Finale Doshi‐Velez has authored 96 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Artificial Intelligence, 10 papers in Epidemiology and 7 papers in Health Informatics. Recurrent topics in Finale Doshi‐Velez’s work include Explainable Artificial Intelligence (XAI) (20 papers), Machine Learning in Healthcare (20 papers) and Reinforcement Learning in Robotics (13 papers). Finale Doshi‐Velez is often cited by papers focused on Explainable Artificial Intelligence (XAI) (20 papers), Machine Learning in Healthcare (20 papers) and Reinforcement Learning in Robotics (13 papers). Finale Doshi‐Velez collaborates with scholars based in United States, United Kingdom and Switzerland. Finale Doshi‐Velez's co-authors include Andrew Slavin Ross, Yaorong Ge, Isaac S. Kohane, Michael C. Hughes, Leo Anthony Celi, Marzyeh Ghassemi, Been Kim, Joseph Futoma, Morgan Simons and Trishan Panch and has published in prestigious journals such as Nature Medicine, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Finale Doshi‐Velez i

Fields of papers citing papers by Finale Doshi‐Velez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Finale Doshi‐Velez

Since Specialization
Citations

This map shows the geographic impact of Finale Doshi‐Velez'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‐Velez 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‐Velez 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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