Edward R. Tufte

77 papers receiving 14.0k citations

Hit Papers

Applied Multiple Regression/Correlation Analysis for the ...19712026198920071979199219901979198410002.0k3.0k4.0k

Peers

Edward R. Tufte
Comparison fields: 5 of 226
  • Computer Vision and Pattern Recognition 3.1k
  • Sociology and Political Science 3.0k
  • Political Science and International Relations 2.7k
  • Economics and Econometrics 2.2k
  • Social Psychology 1.8k
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Citations per field
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Citations per year

Countries citing papers authored by Edward R. Tufte

Since Specialization
Citations

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

Fields of papers citing papers by Edward R. Tufte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward R. Tufte. 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 Edward R. Tufte. The network helps show where Edward R. Tufte may publish in the future.

Co-authorship network of co-authors of Edward R. Tufte

This figure shows the co-authorship network connecting the top 25 collaborators of Edward R. Tufte. A scholar is included among the top collaborators of Edward R. Tufte 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 Edward R. Tufte. Edward R. Tufte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
How facts change everything (if you let them)
1
2
The Cognitive Style of PowerPoint: Pitching Out Corrupts Within, Second Edition
43
3
The Cognitive Style of PowerPoint: Pitching Out Corrupts Within
62
4 33
5 8
6
Visual Explanations
366
7 21
8 217
9
Attention to detail, or less is a bore
1
10 2
11 0
12 13
13 28
14 1
15 11
16 10
17 2
18
Data Analysis for Politics and Policy
144
19 4
20 8

About Edward R. Tufte

Edward R. Tufte is a scholar working on Theoretical Computer Science, Political Science and International Relations and Statistics and Probability, having authored 80 papers that have together received 16.3k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (6 papers), Game Theory and Voting Systems (2 papers) and Data Visualization and Analytics (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.1k citations), Political Science and International Relations (2.7k citations) and Human-Computer Interaction (604 citations). Edward R. Tufte has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jacob Cohen, Patricia Cohen, Peter Fayers, Julian Le Grand, Daniel Zelterman, Susan R. McKay, Rudolf Schmid, Daniel B. Carr, Douglas J. Herrmann and Abbe Herzig. Their work appears in journals such as Journal of the American Statistical Association, Contemporary Sociology A Journal of Reviews and American Sociological Review.

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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