Megan Monroe

20 total papers · 497 total citations
10 papers, 321 citations indexed

About

Megan Monroe is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Megan Monroe has authored 10 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Signal Processing and 2 papers in Computer Networks and Communications. Recurrent topics in Megan Monroe's work include Data Visualization and Analytics (6 papers), Data Management and Algorithms (4 papers) and Time Series Analysis and Forecasting (3 papers). Megan Monroe is often cited by papers focused on Data Visualization and Analytics (6 papers), Data Management and Algorithms (4 papers) and Time Series Analysis and Forecasting (3 papers). Megan Monroe collaborates with scholars based in United States, Spain and Australia. Megan Monroe's co-authors include Catherine Plaisant, Ben Shneiderman, Rongjian Lan, Han‐Seung Lee, Fan Du, Eberechukwu Onukwugha, Sana Malik, Krist Wongsuphasawat, Loretta Auvil and David Tcheng 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

Megan Monroe

10 papers receiving 309 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Megan Monroe 241 117 94 40 38 10 321
Rongjian Lan 174 0.7× 80 0.7× 92 1.0× 40 1.0× 23 0.6× 5 265
Harry Stavropoulos 159 0.7× 94 0.8× 55 0.6× 24 0.6× 30 0.8× 11 256
Tera Marie Green 273 1.1× 118 1.0× 33 0.4× 19 0.5× 16 0.4× 12 352
Hartmut Ziegler 272 1.1× 84 0.7× 106 1.1× 27 0.7× 9 0.2× 8 361
K.A. Pennock 265 1.1× 153 1.3× 60 0.6× 71 1.8× 12 0.3× 4 352
David B. Lantrip 265 1.1× 153 1.3× 60 0.6× 71 1.8× 12 0.3× 7 364
Tim Lammarsch 237 1.0× 95 0.8× 73 0.8× 16 0.4× 6 0.2× 17 279
Hannah Kim 214 0.9× 158 1.4× 46 0.5× 38 0.9× 10 0.3× 17 325
Lars Grammel 230 1.0× 95 0.8× 25 0.3× 55 1.4× 11 0.3× 12 295
Enrico Minack 134 0.6× 213 1.8× 71 0.8× 81 2.0× 15 0.4× 14 339

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).

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.

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.

All Works

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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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