George De Ath

1.4k total citations
9 papers, 81 citations indexed

About

George De Ath is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, George De Ath has authored 9 papers receiving a total of 81 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 3 papers in Management Science and Operations Research. Recurrent topics in George De Ath's work include Advanced Multi-Objective Optimization Algorithms (5 papers), Advanced Bandit Algorithms Research (3 papers) and Air Traffic Management and Optimization (3 papers). George De Ath is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (5 papers), Advanced Bandit Algorithms Research (3 papers) and Air Traffic Management and Optimization (3 papers). George De Ath collaborates with scholars based in United Kingdom. George De Ath's co-authors include Jonathan E. Fieldsend, Richard Everson, Alma Rahat, M. Thomas, E. A. Olivier, Tim Dodwell, Dewi S. W. Gould, E HENDERSON and Tinkle Chugh and has published in prestigious journals such as Transportation Research Part C Emerging Technologies, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences and ArXiv.org.

In The Last Decade

George De Ath

6 papers receiving 78 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
George De Ath United Kingdom 3 46 41 24 11 7 9 81
Tom Rainforth United Kingdom 4 15 0.3× 31 0.8× 15 0.6× 14 1.3× 4 0.6× 14 76
Jürgen Branke Germany 4 49 1.1× 33 0.8× 10 0.4× 17 1.5× 6 0.9× 5 76
Steffen Finck Austria 5 37 0.8× 63 1.5× 11 0.5× 4 0.4× 3 0.4× 17 86
Sampath Srinivas United States 5 9 0.2× 58 1.4× 8 0.3× 9 0.8× 6 0.9× 10 82
André Biedenkapp Germany 4 24 0.5× 67 1.6× 6 0.3× 4 0.6× 7 90
J. V. Kadam Germany 6 18 0.4× 3 0.1× 8 0.3× 9 0.8× 8 1.1× 8 189
Jack Parker-Holder United Kingdom 4 16 0.3× 60 1.5× 7 0.3× 3 0.4× 11 78
Hemanta K. Maji United States 6 25 0.5× 65 1.6× 3 0.1× 2 0.2× 2 0.3× 19 92
Dawid Ewald Poland 5 24 0.5× 47 1.1× 6 0.3× 4 0.6× 8 69
Qi Cai China 6 19 0.4× 57 1.4× 27 1.1× 1 0.1× 12 94

Countries citing papers authored by George De Ath

Since Specialization
Citations

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

Fields of papers citing papers by George De Ath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George De Ath. 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 George De Ath. The network helps show where George De Ath may publish in the future.

Co-authorship network of co-authors of George De Ath

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

All Works

9 of 9 papers shown
1.
2.
Ath, George De, et al.. (2025). A sector-specific probabilistic approach for 4D aircraft trajectory generation. Transportation Research Part C Emerging Technologies. 179. 105291–105291.
3.
4.
Ath, George De, et al.. (2024). Is greed still good in multi-objective Bayesian optimisation?. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 2103–2106.
5.
Thomas, M., et al.. (2023). A probabilistic model for aircraft in climb using monotonic functional Gaussian process emulators. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 479(2271). 4 indexed citations
6.
Ath, George De, Tinkle Chugh, & Alma Rahat. (2022). MBORE. Proceedings of the Genetic and Evolutionary Computation Conference. 33. 776–785. 1 indexed citations
7.
Ath, George De, Richard Everson, & Jonathan E. Fieldsend. (2021). How Bayesian should Bayesian optimisation be?. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1860–1869. 2 indexed citations
8.
Ath, George De, Richard Everson, Alma Rahat, & Jonathan E. Fieldsend. (2021). Greed Is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation. Open Research Exeter (University of Exeter). 1(1). 1–22. 66 indexed citations
9.
Ath, George De, Jonathan E. Fieldsend, & Richard Everson. (2020). What do you mean?. 1623–1631. 7 indexed citations

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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