P. J. Green

953 citations
9 papers · 628 indexed · 1 hit paper · h-index 4
Topics
Bayesian Methods and Mixture Models (6 papers)Probability and Risk Models (4 papers)Stochastic processes and statistical mechanics (4 papers)
Partner nations
United KingdomCanada

In The Last Decade

P. J. Green

8 papers receiving 553 citations

Hit Papers

Computing Dirichlet Tessellations in the Plane19782026199420101978100200300400

Peers

P. J. Green
Comparison fields: 5 of 102
  • Computer Graphics and Computer-Aided Design 186
  • Statistics and Probability 120
  • Computational Mechanics 92
  • Artificial Intelligence 90
  • Environmental Engineering 83
Replace D. H. McLain with:
D. H. McLain United Kingdom
Catherine Gloaguen France
Andrés Almansa France
P. J. Laurent France
Ross Lee Finney United States
Dave Watson Australia
Ewald Quak Norway
Yann Gousseau France
Mahsa Mirzargar United States
J. W. Cannon United States
P. J. Green relative to D. H. McLain United Kingdom D. H. McLain's profile →
Citations per field
00.5×10.9×
D. H. McLain · 1×
Citations per year

Countries citing papers authored by P. J. Green

Since Specialization
Citations

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

Fields of papers citing papers by P. J. Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. J. Green. 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. J. Green. The network helps show where P. J. Green may publish in the future.

Co-authorship network of co-authors of P. J. Green

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 93
2
Computing Dirichlet Tessellations in the Planebreakdown →
487
3 1
4 1
5 12
6 2
7 26
8 3
9 3

About P. J. Green

P. J. Green is a scholar working on Statistics and Probability, Mathematical Physics and Management Science and Operations Research, having authored 9 papers that have together received 628 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (6 papers), Probability and Risk Models (4 papers) and Stochastic processes and statistical mechanics (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (186 citations), Statistics and Probability (120 citations) and Mathematical Physics (62 citations). P. J. Green has collaborated with scholars based in United Kingdom and Canada. Frequent co-authors include Robin Sibson, D. Murdoch, V. Barnett, Andrew P. Robinson, Adam Robinson and Chris Chatfield. Their work appears in journals such as Biometrika, The Computer Journal and Journal of Applied Probability.

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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