Adrian Bowman

11.0k total citations · 5 hit papers
135 papers, 8.2k citations indexed

About

Adrian Bowman is a scholar working on Statistics and Probability, Environmental Engineering and Genetics. According to data from OpenAlex, Adrian Bowman has authored 135 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Statistics and Probability, 20 papers in Environmental Engineering and 17 papers in Genetics. Recurrent topics in Adrian Bowman's work include Statistical Methods and Inference (20 papers), Advanced Statistical Methods and Models (18 papers) and Soil Geostatistics and Mapping (17 papers). Adrian Bowman is often cited by papers focused on Statistical Methods and Inference (20 papers), Advanced Statistical Methods and Models (18 papers) and Soil Geostatistics and Mapping (17 papers). Adrian Bowman collaborates with scholars based in United Kingdom, Ireland and Australia. Adrian Bowman's co-authors include Adelchi Azzalini, Karen Kafadar, Richard D. DeVeaux, Liberty Vittert, Ian A. Greer, Richard Bowman, M. Edgar, Baoqing Sun, Miles J. Padgett and Stephen S. Welsh and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and Journal of the American Statistical Association.

In The Last Decade

Adrian Bowman

128 papers receiving 7.7k citations

Hit Papers

Applied Smoothing Techniques for Data Analysis 1984 2026 1998 2012 1997 1999 1999 2013 1984 400 800 1.2k

Peers

Adrian Bowman
Comparison fields: 5 of 215
  • Statistics and Probability 1.6k
  • Artificial Intelligence 1.1k
  • Global and Planetary Change 700
  • Acoustics and Ultrasonics 615
  • Economics and Econometrics 591
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Citations per field, relative to Adrian Bowman
Adrian Bowman · 1×
Citations per year, relative to Adrian Bowman
Adrian Bowman · 1×

Countries citing papers authored by Adrian Bowman

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Bowman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrian Bowman

This figure shows the co-authorship network connecting the top 25 collaborators of Adrian Bowman. A scholar is included among the top collaborators of Adrian Bowman 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 Adrian Bowman. Adrian Bowman 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 0
2 0
3 4
4 4
5 23
6 12
7 15
8
Assessing temporal and spatial change in nutrients for large hydrological areas
1
9 27
10 23
11 45
12 2
13 103
14
Generalized additive models for location, scale and shape - Discussion
218
15 68
16 8
17
Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-PLUS Illustrations breakdown →
943
18 49
19 46
20
Computer illustrated texts in statistics
1

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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