Megan Monroe

4 papers and 157 indexed citations
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About

Megan Monroe is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Pharmacology. According to data from OpenAlex, Megan Monroe has authored 4 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Signal Processing, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Pharmacology. Recurrent topics in Megan Monroe’s work include Data Visualization and Analytics (1 paper), Data Management and Algorithms (1 paper) and Osteoarthritis Treatment and Mechanisms (1 paper). Megan Monroe is often cited by papers focused on Data Visualization and Analytics (1 paper), Data Management and Algorithms (1 paper) and Osteoarthritis Treatment and Mechanisms (1 paper). Megan Monroe collaborates with scholars based in United States and Australia. Megan Monroe's co-authors include Catherine Plaisant, Han‐Seung Lee, Ben Shneiderman, Rongjian Lan, David Tcheng, Loretta Auvil, Tanya Clement, Boris Capitanu, Stephen P. Messier and Shannon L. Mihalko and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Arthritis Care & Research and Digital humanities quarterly.

In The Last Decade

Co-authorship network of co-authors of Megan Monroe

This figure shows the co-authorship network connecting the top 25 collaborators of Megan Monroe. A scholar is included among the top collaborators of Megan Monroe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Megan Monroe. Megan Monroe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Megan Monroe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Megan Monroe

Since Specialization
Citations

This map shows the geographic impact of Megan Monroe'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 Megan Monroe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megan Monroe 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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2026