Robert Burbidge

983 total citations · 1 hit paper
6 papers, 619 citations indexed

About

Robert Burbidge is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Robert Burbidge has authored 6 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Atomic and Molecular Physics, and Optics and 2 papers in Computational Theory and Mathematics. Recurrent topics in Robert Burbidge's work include Laser-Matter Interactions and Applications (2 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Evolutionary Algorithms and Applications (2 papers). Robert Burbidge is often cited by papers focused on Laser-Matter Interactions and Applications (2 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Evolutionary Algorithms and Applications (2 papers). Robert Burbidge collaborates with scholars based in United Kingdom and Belgium. Robert Burbidge's co-authors include Matthew Trotter, Sean B. Holden, Bernard Buxton, Benjamin J. Whitaker, Jem J. Rowland and Ross D. King and has published in prestigious journals such as Information Sciences, Journal of Modern Optics and Research Explorer (The University of Manchester).

In The Last Decade

Robert Burbidge

6 papers receiving 592 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Drug design by machine learning: support vector machines for pharmaceutical data analysis

2001 542 citations Robert Burbidge, Matthew Trotter et al. Computers & Chemistry profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert Burbidge United Kingdom	5	295	239	91	87	86	6	619
Evgeny Byvatov Germany	8	374 1.3×	360 1.5×	113 1.2×	133 1.5×	53 0.6×	8	852
Bernard Buxton United Kingdom	7	291 1.0×	282 1.2×	69 0.8×	87 1.0×	83 1.0×	17	820
Sean B. Holden United Kingdom	13	394 1.3×	352 1.5×	243 2.7×	131 1.5×	98 1.1×	26	1.1k
Ignacio Ponzoni Argentina	16	301 1.0×	260 1.1×	103 1.1×	40 0.5×	32 0.4×	54	687
Liu Shao United States	8	287 1.0×	154 0.6×	61 0.7×	47 0.5×	24 0.3×	22	481
Jingjing Song China	15	226 0.8×	146 0.6×	176 1.9×	42 0.5×	36 0.4×	51	655
Anil Kumar Pandey India	7	396 1.3×	217 0.9×	35 0.4×	72 0.8×	50 0.6×	19	591
Masamoto Arakawa Japan	13	220 0.7×	135 0.6×	46 0.5×	80 0.9×	278 3.2×	44	729
Valery Tkachenko United States	14	450 1.5×	470 2.0×	83 0.9×	124 1.4×	39 0.5×	18	1.0k
Adam Fedorowicz United States	14	136 0.5×	215 0.9×	54 0.6×	75 0.9×	21 0.2×	22	628

Countries citing papers authored by Robert Burbidge

Since Specialization

Citations

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

Fields of papers citing papers by Robert Burbidge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Burbidge

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

All Works

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6 of 6 papers shown

1.

Burbidge, Robert, et al.. (2013). Vector-valued function estimation by grammatical evolution for autonomous robot control. Information Sciences. 258. 182–199. 7 indexed citations

2.

Burbidge, Robert, et al.. (2009). Grammatical evolution of a robot controller. 357–362. 8 indexed citations

3.

Burbidge, Robert, et al.. (2007). Parameterization of an acousto-optic programmable dispersive filter for closed-loop learning experiments. Journal of Modern Optics. 55(1). 197–209. 8 indexed citations

4.

Burbidge, Robert, et al.. (2007). Evolutionary Optimization of Three-Photon Absorption in Molecular Iodine. Research Explorer (The University of Manchester). 1498. 96–100. 1 indexed citations

5.

Burbidge, Robert, Matthew Trotter, Bernard Buxton, & Sean B. Holden. (2001). Drug design by machine learning: support vector machines for pharmaceutical data analysis. Computers & Chemistry. 26(1). 5–14. 542 indexed citations breakdown →

6.

Burbidge, Robert, et al.. (2001). An introduction to support vector machines for data mining. UCL Discovery (University College London). 53 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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