Tilman M. Davies

1.2k total citations
42 papers, 806 citations indexed

About

Tilman M. Davies is a scholar working on Economics and Econometrics, Statistics and Probability and Applied Mathematics. According to data from OpenAlex, Tilman M. Davies has authored 42 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Economics and Econometrics, 16 papers in Statistics and Probability and 13 papers in Applied Mathematics. Recurrent topics in Tilman M. Davies's work include Point processes and geometric inequalities (13 papers), Spatial and Panel Data Analysis (13 papers) and Statistical Methods and Inference (11 papers). Tilman M. Davies is often cited by papers focused on Point processes and geometric inequalities (13 papers), Spatial and Panel Data Analysis (13 papers) and Statistical Methods and Inference (11 papers). Tilman M. Davies collaborates with scholars based in New Zealand, Australia and United Kingdom. Tilman M. Davies's co-authors include Martin L. Hazelton, Jonathan C. Marshall, R. W. Snaydon, Adrian Baddeley, Barry Rowlingson, Benjamín M. Taylor, Peter J. Diggle, Suman Rakshit, Gopalan Nair and David Bryant and has published in prestigious journals such as SHILAP Revista de lepidopterología, Evolution and Biometrika.

In The Last Decade

Tilman M. Davies

40 papers receiving 765 citations

Peers

Tilman M. Davies
Comparison fields: 5 of 136
  • Economics and Econometrics 188
  • Epidemiology 154
  • Applied Mathematics 135
  • Statistics and Probability 106
  • Environmental Engineering 101
Replace Julia E. Kelsall with:
Julia E. Kelsall United Kingdom
Sigrunn H. Sørbye Norway
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Agbogbenkou Têvi Déla-dem Lawson United States
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Julia E. Kelsall United Kingdom View profile →
Citations per field, relative to Tilman M. Davies
Tilman M. Davies · 1×
Citations per year, relative to Tilman M. Davies
Tilman M. Davies · 1×

Countries citing papers authored by Tilman M. Davies

Since Specialization
Citations

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

Fields of papers citing papers by Tilman M. Davies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tilman M. Davies. 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 Tilman M. Davies. The network helps show where Tilman M. Davies may publish in the future.

Co-authorship network of co-authors of Tilman M. Davies

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 1
4 1
5 1
6 0
7 24
8 4
9 17
10 10
11 73
12 28
13 10
14 8
15
Lgcp: Inference with spatial and spatio-temporal log-gaussian cox processes in R
4
16 8
17
sparr: Analyzing Spatial Relative Risk Using Fixed and Adaptive Kernel Density Estimation in R
8
18 30
19 19
20 76

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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