William G. Hanley

427 total citations
10 papers, 276 citations indexed

About

William G. Hanley is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty and Geophysics. According to data from OpenAlex, William G. Hanley has authored 10 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Statistics, Probability and Uncertainty and 2 papers in Geophysics. Recurrent topics in William G. Hanley's work include Bayesian Methods and Mixture Models (2 papers), Probabilistic and Robust Engineering Design (2 papers) and Markov Chains and Monte Carlo Methods (2 papers). William G. Hanley is often cited by papers focused on Bayesian Methods and Mixture Models (2 papers), Probabilistic and Robust Engineering Design (2 papers) and Markov Chains and Monte Carlo Methods (2 papers). William G. Hanley collaborates with scholars based in United States. William G. Hanley's co-authors include Gardar Johannesson, Stephen C. Myers, J.J. Nitao, Fotini Katopodes Chow, Shawn Larsen, Roger D. Aines, Branko Kosović, G Sugiyama, Luca Delle Monache and G Loosmore and has published in prestigious journals such as Geophysical Journal International, IEEE Transactions on Knowledge and Data Engineering and Journal of Engineering Mechanics.

In The Last Decade

William G. Hanley

10 papers receiving 265 citations

Peers

William G. Hanley
Comparison fields: 5 of 53
  • Geophysics 147
  • Artificial Intelligence 95
  • Environmental Engineering 49
  • Global and Planetary Change 36
  • Ocean Engineering 26
Replace Jingbao Zhu with:
Jingbao Zhu China
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V. D’Amico Italy
T. Domı́nguez Mexico
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Élise Delavaud France
Chiara Felicetta Italy
Benedikt Halldórsson Iceland
J. MacCarthy United States
Jorge Macedo United States
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Citations per field, relative to William G. Hanley
William G. Hanley · 1×
Citations per year, relative to William G. Hanley
William G. Hanley · 1×

Countries citing papers authored by William G. Hanley

Since Specialization
Citations

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

Fields of papers citing papers by William G. Hanley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William G. Hanley. 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 William G. Hanley. The network helps show where William G. Hanley may publish in the future.

Co-authorship network of co-authors of William G. Hanley

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 6
2 3
3 56
4
Discriminant Random Forests.
5
5 80
6 99
7 5
8 4
9 8
10 10

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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