P. Eades
Impact in
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- Computational Geometry and Mesh Generation
- Computer Graphics and Visualization Techniques
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- Data Visualization and Analytics
- Video Analysis and Summarization
Papers in
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- Data Visualization and Analytics 8
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- Computational Geometry and Mesh Generation 6
- Co-authors
- Tim Dwyer (1 shared paper)Sue Whitesides (2 shared papers)Seok‐Hee Hong (1 shared paper)Wanchun Li (2 shared papers)Masahiro Takatsuka (1 shared paper)Seok-Hee Hong (3 shared papers)Julián Mestre (1 shared paper)Justin Zobel (1 shared paper)
- Journals
- Algorithmica (2 papers)Lecture notes in computer science (5 papers)eCite Digital Repository (University of Tasmania) (1 paper)Medical Entomology and Zoology (1 paper)
In The Last Decade
P. Eades
16 papers receiving 957 citations
P. Eades's Hit Papers
Peers
Comparison fields: 5 of 90
- Computer Graphics and Computer-Aided Design 197
- Computer Vision and Pattern Recognition 768
- Statistical and Nonlinear Physics 240
- Signal Processing 209
- Computational Theory and Mathematics 144
Countries citing papers authored by P. Eades
This map shows the geographic impact of P. 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 P. Eades with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Eades more than expected).
Fields of papers citing papers by P. Eades
This network shows the impact of papers produced by P. 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 P. Eades. The network helps show where P. Eades may publish in the future.
Co-authors
The 18 scholars most cited alongside P. 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
| # | Work | ||
|---|---|---|---|
| 1 | A Heuristic for Graph Drawing Hit paper breakdown → | 1984 | 860 |
| 2 | A Heuristics for Graph Drawing | 1984 | 73 |
| 3 | 2003 | 44 | |
| 4 | 1996 | 31 | |
| 5 | 1996 | 18 | |
| 6 | 2005 | 8 | |
| 7 | 2004 | 6 | |
| 8 | 1996 | 4 | |
| 9 | 2022 | 3 | |
| 10 | 2014 | 3 | |
| 11 | 2012 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2020 | 2 | |
| 14 | 1996 | 2 | |
| 15 | 2002 | 1 | |
| 16 | 2006 | 1 | |
| 17 | 2002 | 0 |
About P. Eades
P. Eades is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Statistical and Nonlinear Physics, Signal Processing and Computer Networks and Communications, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Visualization and Analytics (8 papers), Computational Geometry and Mesh Generation (6 papers), Data Management and Algorithms (4 papers), Complex Network Analysis Techniques (4 papers), Web Data Mining and Analysis (2 papers), Advanced Database Systems and Queries (2 papers), Vehicle Routing Optimization Methods (2 papers) and Model-Driven Software Engineering Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (197 citations), Computer Vision and Pattern Recognition (768 citations), Statistical and Nonlinear Physics (240 citations), Signal Processing (209 citations) and Computational Theory and Mathematics (144 citations). P. Eades has collaborated with scholars based in Australia, Germany and Canada. Frequent co-authors include Tim Dwyer, Sue Whitesides, Seok‐Hee Hong, Wanchun Li, Masahiro Takatsuka, Seok-Hee Hong, Julián Mestre, Justin Zobel, Peter Eades and Anthony Wirth. Their work appears in journals such as Algorithmica, Lecture notes in computer science, eCite Digital Repository (University of Tasmania) and Medical Entomology and Zoology.
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.