Patricia Scanlon

22 papers and 478 indexed citations i.

About

Patricia Scanlon is a scholar working on Artificial Intelligence, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Patricia Scanlon has authored 22 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Signal Processing and 4 papers in Cognitive Neuroscience. Recurrent topics in Patricia Scanlon’s work include Speech and Audio Processing (5 papers), Machine Fault Diagnosis Techniques (3 papers) and Digital Media Forensic Detection (2 papers). Patricia Scanlon is often cited by papers focused on Speech and Audio Processing (5 papers), Machine Fault Diagnosis Techniques (3 papers) and Digital Media Forensic Detection (2 papers). Patricia Scanlon collaborates with scholars based in United States, Ireland and United Kingdom. Patricia Scanlon's co-authors include Irwin O. Kennedy, Gail Potter-Bynoe, Thomas J. Sandora, Thomas W. Rondeau, Keith Nolan, Milind M. Buddhikot, Frank Boland, Monica Fung, Grace M. Lee and Courtney A. Gidengil and has published in prestigious journals such as PEDIATRICS, Archives of Disease in Childhood and The Pediatric Infectious Disease Journal.

In The Last Decade

Co-authorship network of co-authors of Patricia Scanlon i

Fields of papers citing papers by Patricia Scanlon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Patricia Scanlon

Since Specialization
Citations

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