Sana Tonekaboni

4 papers and 89 indexed citations i.

About

Sana Tonekaboni is a scholar working on Artificial Intelligence, Signal Processing and Physiology. According to data from OpenAlex, Sana Tonekaboni has authored 4 papers receiving a total of 89 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Signal Processing and 1 paper in Physiology. Recurrent topics in Sana Tonekaboni’s work include Machine Learning in Healthcare (2 papers), Time Series Analysis and Forecasting (2 papers) and Cardiovascular and exercise physiology (1 paper). Sana Tonekaboni is often cited by papers focused on Machine Learning in Healthcare (2 papers), Time Series Analysis and Forecasting (2 papers) and Cardiovascular and exercise physiology (1 paper). Sana Tonekaboni collaborates with scholars based in Canada and United States. Sana Tonekaboni's co-authors include Hossein Kassiri, Karim Abdelhalim, Nima Soltani, Muhammad Tariqus Salam, José Luis Pérez Velázquez, Roman Genov, David Duvenaud, Kieran R. Campbell, Shalmali Joshi and Anna Goldenberg and has published in prestigious journals such as npj Digital Medicine, IEEE Transactions on Biomedical Circuits and Systems and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Sana Tonekaboni i

Fields of papers citing papers by Sana Tonekaboni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sana Tonekaboni

Since Specialization
Citations

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