P. Eades

1.4k citations
13 papers · 797 indexed · 1 hit paper · h-index 6

Impact in

Papers in

Journals
Algorithmica (2 papers)Medical Entomology and Zoology (1 paper)eCite Digital Repository (University of Tasmania) (1 paper)
Partner nations
AustraliaCanadaGermany

In The Last Decade

P. Eades

12 papers receiving 706 citations

Hit Papers

A Heuristic for Graph Drawing 1984 · 660 citations
6601984202619982012200400600

Peers

P. Eades
Comparison fields: 5 of 87
  • Computer Graphics and Computer-Aided Design 119
  • Computer Vision and Pattern Recognition 583
  • Statistical and Nonlinear Physics 197
  • Signal Processing 155
  • Computational Theory and Mathematics 101
Replace Kazuo Misue with:
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Chris Muelder United States
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Kai Xu Australia
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P. Eades relative to Kazuo Misue Japan Kazuo Misue's profile →
Citations per field
00.5×1.5×1.9×
Kazuo Misue · 1×
Citations per year

Countries citing papers authored by P. Eades

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

The 15 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.

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

All Works

13 of 13 papers shown

About P. Eades

P. Eades is a scholar working on Computer Graphics and Computer-Aided Design, Software, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Signal Processing, having authored 13 papers that have together received 797 indexed citations. Recurring topics across this work include Data Visualization and Analytics (6 papers), Computational Geometry and Mesh Generation (4 papers), Complex Network Analysis Techniques (4 papers), Data Management and Algorithms (3 papers), Model-Driven Software Engineering Techniques (2 papers), Manufacturing Process and Optimization (1 paper), VLSI and FPGA Design Techniques (1 paper) and Advanced Manufacturing and Logistics Optimization (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (119 citations), Computer Vision and Pattern Recognition (583 citations), Statistical and Nonlinear Physics (197 citations), Signal Processing (155 citations) and Computational Theory and Mathematics (101 citations). P. Eades has collaborated with scholars based in Australia, Canada and Germany. Frequent co-authors include Tim Dwyer, Sue Whitesides, Seok‐Hee Hong, Wanchun Li, Masahiro Takatsuka, Seok-Hee Hong, Xuemin Lin, Hui Liu, Michael R. Marner and Weidong Huang. Their work appears in journals such as Algorithmica, Medical Entomology and Zoology and eCite Digital Repository (University of Tasmania).

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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