Peyman Tavallali

23 papers and 315 indexed citations i.

About

Peyman Tavallali is a scholar working on Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Peyman Tavallali has authored 23 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Peyman Tavallali’s work include Cardiovascular Health and Disease Prevention (6 papers), Image and Signal Denoising Methods (4 papers) and Heart Rate Variability and Autonomic Control (3 papers). Peyman Tavallali is often cited by papers focused on Cardiovascular Health and Disease Prevention (6 papers), Image and Signal Denoising Methods (4 papers) and Heart Rate Variability and Autonomic Control (3 papers). Peyman Tavallali collaborates with scholars based in United States, China and Iran. Peyman Tavallali's co-authors include Niema M. Pahlevan, Thomas Y. Hou, Zuoqiang Shi, Derek Rinderknecht, Morteza Gharib, Mukesh Singhal, Hui Su, Ray Matthews, Longtao Wu and Alex X. Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Computational Physics.

In The Last Decade

Co-authorship network of co-authors of Peyman Tavallali i

Fields of papers citing papers by Peyman Tavallali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peyman Tavallali

Since Specialization
Citations

This map shows the geographic impact of Peyman Tavallali'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 Peyman Tavallali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peyman Tavallali 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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2025