Peter Eades
Impact in
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- Computational Geometry and Mesh Generation
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- Data Visualization and Analytics
- Video Analysis and Summarization
Papers in
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- Data Visualization and Analytics 72
- Graph Theory and Algorithms 12
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- Computational Geometry and Mesh Generation 39
- Co-authors
- Roberto Tamassia (3 shared papers)Ioannis G. Tollis (2 shared papers)Giuseppe Di Battista (2 shared papers)Weidong Huang (15 shared papers)Seok-Hee Hong (32 shared papers)Wei Lai (4 shared papers)Xuemin Lin (9 shared papers)Nicholas Wormald (4 shared papers)
In The Last Decade
Peter Eades
119 papers receiving 3.5k citations
Peter Eades's Hit Papers
Peers
Comparison fields: 5 of 133
- Computer Graphics and Computer-Aided Design 1.0k
- Computer Vision and Pattern Recognition 2.5k
- Signal Processing 696
- Statistical and Nonlinear Physics 616
- Computational Theory and Mathematics 770
Countries citing papers authored by Peter Eades
This map shows the geographic impact of Peter Eades'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 Peter Eades with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Eades more than expected).
Fields of papers citing papers by Peter Eades
This network shows the impact of papers produced by Peter Eades. 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 Peter Eades. The network helps show where Peter Eades may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Eades, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Graph Drawing: Algorithms for the Visualization of Graphs Hit paper breakdown → | 1998 | 1091 |
| 2 | 1994 | 456 | |
| 3 | 1995 | 330 | |
| 4 | 2009 | 156 | |
| 5 | 1994 | 128 | |
| 6 | 1993 | 112 | |
| 7 | 2000 | 90 | |
| 8 | 1998 | 64 | |
| 9 | 2008 | 64 | |
| 10 | 2003 | 49 | |
| 11 | 2002 | 45 | |
| 12 | 1994 | 44 | |
| 13 | 1984 | 37 | |
| 14 | 2000 | 37 | |
| 15 | 2013 | 35 | |
| 16 | 2011 | 34 | |
| 17 | 2012 | 33 | |
| 18 | 1997 | 33 | |
| 19 | How people read graphs | 2005 | 32 |
| 20 | 2009 | 32 |
About Peter Eades
Peter Eades is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics, Signal Processing and Artificial Intelligence, having authored 123 papers that have together received 3.9k indexed citations. Recurring topics across this work include Data Visualization and Analytics (72 papers), Computational Geometry and Mesh Generation (39 papers), Data Management and Algorithms (19 papers), Topological and Geometric Data Analysis (15 papers), Advanced Graph Theory Research (14 papers), Graph Theory and Algorithms (12 papers), Complex Network Analysis Techniques (11 papers) and Multimedia Communication and Technology (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.0k citations), Computer Vision and Pattern Recognition (2.5k citations), Signal Processing (696 citations), Statistical and Nonlinear Physics (616 citations) and Computational Theory and Mathematics (770 citations). Peter Eades has collaborated with scholars based in Australia, Canada and Italy. Frequent co-authors include Roberto Tamassia, Ioannis G. Tollis, Giuseppe Di Battista, Weidong Huang, Seok-Hee Hong, Wei Lai, Xuemin Lin, Nicholas Wormald, Kozo Sugiyama and Kazuo Misue. Their work appears in journals such as Theoretical Computer Science, Algorithmica, Journal of Visual Languages & Computing, Discrete Applied Mathematics and Journal of Graph Algorithms 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.