Genetha A. Gray

697 citations
24 papers · 405 · h-index 8

Impact in

Papers in

Genetha A. Gray

19 papers receiving 362 citations

Peers

Genetha A. Gray
Comparison fields: 5 of 93
  • Numerical Analysis 73
  • Computational Theory and Mathematics 187
  • Statistics, Probability and Uncertainty 46
  • Artificial Intelligence 135
  • Management Science and Operations Research 51
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Countries citing papers authored by Genetha A. Gray

Since Specialization
Citations

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

Fields of papers citing papers by Genetha A. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Genetha A. Gray. 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 Genetha A. Gray. The network helps show where Genetha A. Gray may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201584
2 200877
3 200676
4 200945
5 200430
6 200321
7 199419
8 200415
9
Modeling an Augmented Lagrangian for Improved Blackbox Constrained Optimization
20147
10 20106
11 20106
12 20083
13 20143
14
160 Towards a probabilistic concept of the Kitagawa-Takahashi diagram
20132
15 20162
16 20142
17
Optimal bundling of the transmembrane helices of integral membrane proteins using sparse distance constraints
20042
18 20082
19
Enhancing Parallel Pattern Search Optimization with a Gaussian Process Oracle
20081
20 20091

About Genetha A. Gray

Genetha A. Gray is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Ocean Engineering, Molecular Biology and Statistics, Probability and Uncertainty, having authored 24 papers that have together received 405 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (9 papers), Gaussian Processes and Bayesian Inference (5 papers), Water resources management and optimization (4 papers), Probabilistic and Robust Engineering Design (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Parallel Computing and Optimization Techniques (2 papers), Groundwater flow and contamination studies (2 papers) and Advanced Optimization Algorithms Research (2 papers). The work is most often cited by research in Numerical Analysis (73 citations), Computational Theory and Mathematics (187 citations), Statistics, Probability and Uncertainty (46 citations), Artificial Intelligence (135 citations) and Management Science and Operations Research (51 citations). Genetha A. Gray has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Tamara G. Kolda, Herbert K. H. Lee, Joshua Griffin, Sébastien Le Digabel, Stefan M. Wild, Pritam Ranjan, Matthew A. Taddy, Robert B. Gramacy, Garth N. Wells and Ken Sale. Their work appears in journals such as Technometrics, ACM Transactions on Mathematical Software, Advances in Water Resources, Annals of Operations Research and Protein Science.

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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