Megan Monroe

498 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, Australia and Spain. Megan Monroe's co-authors include Catherine Plaisant, Ben Shneiderman, Rongjian Lan, Han‐Seung Lee, Eberechukwu Onukwugha, Fan Du, Sana Malik, Krist Wongsuphasawat, Tanya Clement 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Megan Monroe United States	5	241	117	94	40	38	10	321
Rongjian Lan United States	4	174 0.7×	80 0.7×	92 1.0×	40 1.0×	23 0.6×	5	265
Harry Stavropoulos United States	8	159 0.7×	94 0.8×	55 0.6×	24 0.6×	30 0.8×	11	257
Beth Hetzler United States	6	329 1.4×	145 1.2×	103 1.1×	40 1.0×	11 0.3×	8	411
James Williams United States	9	133 0.6×	112 1.0×	44 0.5×	87 2.2×	12 0.3×	46	308
Maoyuan Sun United States	11	210 0.9×	117 1.0×	31 0.3×	16 0.4×	34 0.9×	30	284
John Wenskovitch United States	10	226 0.9×	143 1.2×	47 0.5×	32 0.8×	20 0.5×	33	351
Oddur Kjartansson United States	10	59 0.2×	277 2.4×	117 1.2×	45 1.1×	4 0.1×	14	416
Rong Zhao China	6	229 1.0×	96 0.8×	36 0.4×	27 0.7×	28 0.7×	11	318
Lynda Tamine France	11	44 0.2×	186 1.6×	37 0.4×	154 3.9×	49 1.3×	44	322
Helen Gibson United Kingdom	7	98 0.4×	47 0.4×	20 0.2×	26 0.7×	11 0.3×	17	210

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

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Messier, Stephen P., Megan Monroe, Leigh F. Callahan, et al.. (2024). Disparities Between Rural and Urban Communities: Response to 18 Months of Diet and Exercise Versus Control for Knee Osteoarthritis and Overweight or Obesity. Arthritis Care & Research. 77(1). 69–76. 1 indexed citations

2.

Müller, Michael, et al.. (2017). What Did I Ask You to Do, by When, and for Whom?. 1009–1023. 3 indexed citations

3.

Malik, Sana, Fan Du, Megan Monroe, et al.. (2015). Cohort Comparison of Event Sequences with Balanced Integration of Visual Analytics and Statistics. 38–49. 62 indexed citations

4.

Plaisant, Catherine, Megan Monroe, Tamra E. Meyer, & Ben Shneiderman. (2014). Chapter 12: Interactive Visualization. 1 indexed citations

5.

Clement, Tanya, David Tcheng, Loretta Auvil, Boris Capitanu, & Megan Monroe. (2013). Sounding for Meaning: Using Theories of Knowledge Representation to Analyze Aural Patterns in Texts. Digital humanities quarterly. 7(1). 5 indexed citations

6.

Monroe, Megan, Rongjian Lan, Han‐Seung Lee, Catherine Plaisant, & Ben Shneiderman. (2013). Temporal Event Sequence Simplification. IEEE Transactions on Visualization and Computer Graphics. 19(12). 2227–2236. 192 indexed citations

7.

Monroe, Megan, et al.. (2013). The challenges of specifying intervals and absences in temporal queries. 2349–2358. 33 indexed citations

8.

Clement, Tanya, et al.. (2012). Sounding for Meaning: Analyzing Aural Patterns Across Large Digital Collections.. DH. 158–161. 3 indexed citations

9.

Monroe, Megan, et al.. (2012). The Intervals and Absences of Temporal Query. 1 indexed citations

10.

Monroe, Megan, et al.. (2012). Exploring Point and Interval Event Patterns: Display Methods and Interactive Visual Query. 20 indexed citations

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.

Explore authors with similar magnitude of impact