Meghan R. Hutch

10 papers and 284 indexed citations i.

About

Meghan R. Hutch is a scholar working on Artificial Intelligence, Epidemiology and Surgery. According to data from OpenAlex, Meghan R. Hutch has authored 10 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Epidemiology and 3 papers in Surgery. Recurrent topics in Meghan R. Hutch’s work include Acute Ischemic Stroke Management (3 papers), Machine Learning in Healthcare (3 papers) and Traumatic Brain Injury and Neurovascular Disturbances (2 papers). Meghan R. Hutch is often cited by papers focused on Acute Ischemic Stroke Management (3 papers), Machine Learning in Healthcare (3 papers) and Traumatic Brain Injury and Neurovascular Disturbances (2 papers). Meghan R. Hutch collaborates with scholars based in United States, United Kingdom and Greece. Meghan R. Hutch's co-authors include Yikuan Li, Yuan Luo, Hanyin Wang, Fei Wang, Feixiong Cheng, Zhenxing Xu, Adrienne Kline, Stelios M. Smirnakis, Charlene Ong and Andrew M. Naidech and has published in prestigious journals such as PLoS ONE, Neurology and Critical Care Medicine.

In The Last Decade

Co-authorship network of co-authors of Meghan R. Hutch i

Fields of papers citing papers by Meghan R. Hutch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meghan R. Hutch. 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 Meghan R. Hutch. The network helps show where Meghan R. Hutch may publish in the future.

Countries citing papers authored by Meghan R. Hutch

Since Specialization
Citations

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