Parisa Rashidi

125 papers and 4.6k indexed citations i.

About

Parisa Rashidi is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence and Surgery. According to data from OpenAlex, Parisa Rashidi has authored 125 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cardiology and Cardiovascular Medicine, 26 papers in Artificial Intelligence and 24 papers in Surgery. Recurrent topics in Parisa Rashidi’s work include Intensive Care Unit Cognitive Disorders (22 papers), Cardiac, Anesthesia and Surgical Outcomes (22 papers) and Machine Learning in Healthcare (21 papers). Parisa Rashidi is often cited by papers focused on Intensive Care Unit Cognitive Disorders (22 papers), Cardiac, Anesthesia and Surgical Outcomes (22 papers) and Machine Learning in Healthcare (21 papers). Parisa Rashidi collaborates with scholars based in United States, Brazil and Iran. Parisa Rashidi's co-authors include Diane J. Cook, Azra Bihorac, Alex Mihailidis, Patrick Tighe, Benjamin Shickel, Tezcan Ozrazgat‐Baslanti, Giovanni Acampora, Athanasios V. Vasilakos, Tyler J. Loftus and Lawrence B. Holder and has published in prestigious journals such as PLoS ONE, Annals of Surgery and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Parisa Rashidi i

Fields of papers citing papers by Parisa Rashidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Parisa Rashidi

Since Specialization
Citations

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