Peter Eades
About
Peter Eades is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Theory and Mathematics.
According to data from OpenAlex, Peter Eades has authored 72 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 32 papers in Computer Graphics and Computer-Aided Design and 26 papers in Computational Theory and Mathematics. Recurrent topics in Peter Eades’s work include Data Visualization and Analytics (35 papers), Computational Geometry and Mesh Generation (31 papers) and Advanced Graph Theory Research (13 papers). Peter Eades is often cited by papers focused on Data Visualization and Analytics (35 papers), Computational Geometry and Mesh Generation (31 papers) and Advanced Graph Theory Research (13 papers). Peter Eades collaborates with scholars based in Australia, Italy and Canada. Peter Eades's co-authors include Roberto Tamassia, Giuseppe Di Battista, Ioannis G. Tollis, Seok-Hee Hong, Kozo Sugiyama, Xuemin Lin, Weidong Huang, Nicholas Wormald, Wei Lai and Kazuo Misue and has published in prestigious journals such as Journal of the ACM, Pattern Recognition Letters and Future Generation Computer Systems.
In The Last Decade
Co-authorship network of co-authors of Peter Eades i
Fields of papers citing papers by Peter Eades
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers citing the papers produced by Peter Eades. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Peter Eades may publish in the future.
Countries citing papers authored by Peter Eades
Since SpecializationCitations
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).
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