Meghan Cowan

About

Meghan Cowan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Meghan Cowan has authored 4 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Meghan Cowan’s work include Cryptography and Data Security (1 paper), Advanced Neural Network Applications (1 paper) and CCD and CMOS Imaging Sensors (1 paper). Meghan Cowan is often cited by papers focused on Cryptography and Data Security (1 paper), Advanced Neural Network Applications (1 paper) and CCD and CMOS Imaging Sensors (1 paper). Meghan Cowan collaborates with scholars based in United States and China. Meghan Cowan's co-authors include Eddie Yan, Yuwei Hu, Tianqi Chen, Lianmin Zheng, Luís Ceze, Thierry Moreau, Haichen Shen, Leyuan Wang, Carlos Guestrin and Arvind Krishnamurthy and has published in prestigious journals such as Operating Systems Design and Implementation and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Meghan Cowan i

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Fields of papers citing papers by Meghan Cowan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Meghan Cowan

Since Specialization

Citations

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