Tamara Munzner

120 papers receiving 6.9k citations

Tamara Munzner's Hit Papers

Visualization Analysis and Design 2014 · 1.1k citations
1.1k0+5+11Years since publication2505007501000

Peers

Tamara Munzner
Comparison fields: 5 of 172
  • Computer Vision and Pattern Recognition 5.5k
  • Computer Graphics and Computer-Aided Design 481
  • Human-Computer Interaction 659
  • Signal Processing 939
  • Ecological Modeling 289
Replace Jean‐Daniel Fekete with:
Jean‐Daniel Fekete France
Huamin Qu Hong Kong
Chris North United States
Niklas Elmqvist United States
John Stasko United States
Heidrun Schumann Germany
Sheelagh Carpendale Canada
Tobias Schreck Germany
Jock D. Mackinlay United States
Bongshin Lee United States
Tamara Munzner relative to Jean‐Daniel Fekete France Jean‐Daniel Fekete's profile →
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Citations per year

Countries citing papers authored by Tamara Munzner

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Munzner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tamara Munzner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tamara Munzner Line = papers co-authored together Tamara Munzner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Visualization Analysis and Design
Hit paper breakdown →
20141128
2
A Nested Model for Visualization Design and Validation
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2009628
3
Design Study Methodology: Reflections from the Trenches and the Stacks
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2012574
4
A Multi-Level Typology of Abstract Visualization Tasks
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2013524
5 2003255
6 2002210
7 2003167
8 2016149
9 1998148
10 2008145
11 2007140
12 2013134
13 2008132
14 1995127
15 2012119
16 2009119
17 2007118
18 2008118
19 2006106
20 200888

About Tamara Munzner

Tamara Munzner is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science, Signal Processing, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 123 papers that have together received 7.3k indexed citations. Recurring topics across this work include Data Visualization and Analytics (82 papers), Multimedia Communication and Technology (17 papers), Computer Graphics and Visualization Techniques (14 papers), Video Analysis and Summarization (12 papers), Data Management and Algorithms (11 papers), Topological and Geometric Data Analysis (8 papers), Computational Geometry and Mesh Generation (6 papers) and Data Analysis with R (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.5k citations), Computer Graphics and Computer-Aided Design (481 citations), Human-Computer Interaction (659 citations), Signal Processing (939 citations) and Ecological Modeling (289 citations). Tamara Munzner has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Matthew Brehmer, Michael Sedlmair, Miriah Meyer, Melanie Tory, François Guimbretière, Stephen Ingram, David Auber, Daniel Archambault, Serdar Taşiran and Y. Zhou. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Information Visualization, Bioinformatics and IEEE Computer Graphics and Applications.

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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