Peter Hall

745 citations
33 papers · 477 · h-index 12

Impact in

Papers in

Peter Hall

31 papers receiving 424 citations

Peers

Peter Hall
Comparison fields: 5 of 118
  • Statistics and Probability 113
  • Economics and Econometrics 99
  • Applied Mathematics 34
  • Global and Planetary Change 64
  • Statistics, Probability and Uncertainty 20
Replace Nicolas Curien with:
Nicolas Curien France
Mark Yuying An United States
Jon Stewart United Kingdom
Roger C. Pfaffenberger United States
Tatyana Krivobokova Germany
Hiroki Tsurumi United States
A. L. Nagar India
Kurt Brännäs Sweden
Nagesh S. Revankar United States
Ernest J. Mosbaek
Peter Hall relative to Nicolas Curien France Nicolas Curien's profile →
Citations per field
00.5×6.7×
Nicolas Curien · 1×
Citations per year

Countries citing papers authored by Peter Hall

Since Specialization
Citations

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

Fields of papers citing papers by Peter Hall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Hall. 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 Hall. The network helps show where Peter Hall may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter Hall, 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 Peter Hall Line = papers co-authored together Peter Hall links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Von Thünen's Isolated state : an English edition of Der Isolierte Staat
1966157
2 199757
3 200433
4 201430
5 201327
6 201724
7 199418
8 198713
9 200312
10 201012
11 201512
12 200211
13 199610
14 20107
15 19967
16 19937
17 19916
18 20226
19 19894
20 19894

About Peter Hall

Peter Hall is a scholar working on Statistics and Probability, Management Science and Operations Research, Artificial Intelligence, Applied Mathematics and Environmental Engineering, having authored 33 papers that have together received 477 indexed citations. Recurring topics across this work include Statistical Methods and Inference (10 papers), Advanced Statistical Methods and Models (7 papers), Statistical Methods and Bayesian Inference (3 papers), Soil Geostatistics and Mapping (3 papers), Point processes and geometric inequalities (3 papers), Bayesian Methods and Mixture Models (3 papers), Mathematical Dynamics and Fractals (2 papers) and Ecosystem dynamics and resilience (2 papers). The work is most often cited by research in Statistics and Probability (113 citations), Economics and Econometrics (99 citations), Applied Mathematics (34 citations), Global and Planetary Change (64 citations) and Statistics, Probability and Uncertainty (20 citations). Peter Hall has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Johann Heinrich von Thünen, Feng Chen, Yanan Fan, Rob J. Hyndman, Ronald W. Butler, H. R. Miller, Ilya Molchanov, Iain L. Densten, James G. Booth and Andrew T. A. Wood. Their work appears in journals such as Biometrika, Journal of the American Statistical Association, Journal of Applied Probability, ACS Medicinal Chemistry Letters and International Journal of Social Psychiatry.

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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