Susan E. Hills

8 total papers · 1.1k total citations
4 papers, 660 citations indexed

About

Susan E. Hills is a scholar working on Artificial Intelligence, Statistics and Probability and Control and Systems Engineering. According to data from OpenAlex, Susan E. Hills has authored 4 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Statistics and Probability and 1 paper in Control and Systems Engineering. Recurrent topics in Susan E. Hills's work include Statistical Methods and Bayesian Inference (2 papers), Bayesian Methods and Mixture Models (2 papers) and Statistical Methods and Inference (1 paper). Susan E. Hills is often cited by papers focused on Statistical Methods and Bayesian Inference (2 papers), Bayesian Methods and Mixture Models (2 papers) and Statistical Methods and Inference (1 paper). Susan E. Hills collaborates with scholars based in United Kingdom, United States and Switzerland. Susan E. Hills's co-authors include A. F. M. Smith, Alan E. Gelfand, Amy Racine-Poon, Walter R. Gilks and S M Gore and has published in prestigious journals such as Journal of the American Statistical Association, Biometrika and Journal of the Royal Statistical Society Series D (The Statistician).

In The Last Decade

Susan E. Hills

4 papers receiving 587 citations

Hit Papers

Illustration of Bayesian ... 1990 2026 2002 2014 1990 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Susan E. Hills 354 174 130 84 58 4 660
D. V. Hinkley 257 0.7× 74 0.4× 55 0.4× 65 0.8× 63 1.1× 4 557
Richard J. Meinhold 144 0.4× 228 1.3× 114 0.9× 66 0.8× 86 1.5× 10 737
C.-L. Tsai 624 1.8× 149 0.9× 72 0.6× 58 0.7× 53 0.9× 6 776
Caroline Robert 321 0.9× 207 1.2× 111 0.9× 65 0.8× 24 0.4× 14 681
George E. Policello 298 0.8× 83 0.5× 149 1.1× 64 0.8× 51 0.9× 10 642
Peide Shi 496 1.4× 146 0.8× 51 0.4× 79 0.9× 63 1.1× 25 688
Xiang Liu 387 1.1× 85 0.5× 144 1.1× 79 0.9× 31 0.5× 24 605
K. R. W. Brewer 392 1.1× 156 0.9× 134 1.0× 119 1.4× 65 1.1× 32 757
Herbert A. David 356 1.0× 136 0.8× 57 0.4× 119 1.4× 128 2.2× 13 754
M. R. Sampford 307 0.9× 105 0.6× 39 0.3× 103 1.2× 77 1.3× 15 698

Countries citing papers authored by Susan E. Hills

Since Specialization
Citations

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

Fields of papers citing papers by Susan E. Hills

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan E. Hills. 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 Susan E. Hills. The network helps show where Susan E. Hills may publish in the future.

Co-authorship network of co-authors of Susan E. Hills

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

All Works

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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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