Alan J. Barton

462 total citations
23 papers, 331 citations indexed

About

Alan J. Barton is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Alan J. Barton has authored 23 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 6 papers in Molecular Biology. Recurrent topics in Alan J. Barton's work include Neural Networks and Applications (8 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Metaheuristic Optimization Algorithms Research (7 papers). Alan J. Barton is often cited by papers focused on Neural Networks and Applications (8 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Metaheuristic Optimization Algorithms Research (7 papers). Alan J. Barton collaborates with scholars based in Canada, United States and Spain. Alan J. Barton's co-authors include Julio J. Valdés, William G. Pitt, Richard D. Sagers, Robert E. Shaddy, Robert Orchard, Ronald W. Day, Theodore J. Pysher, Enrique Romero and Arsalan S. Haqqani and has published in prestigious journals such as Biomaterials, Expert Systems with Applications and Journal of Biomedical Materials Research.

In The Last Decade

Alan J. Barton

22 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alan J. Barton Canada 9 79 78 77 55 49 23 331
Brandon Corbett Canada 16 35 0.4× 113 1.4× 60 0.8× 17 0.3× 15 0.3× 43 825
Tijana Šušteršič Serbia 10 33 0.4× 124 1.6× 20 0.3× 19 0.3× 9 0.2× 35 324
Xiangyu Zhang China 12 19 0.2× 65 0.8× 63 0.8× 21 0.4× 5 0.1× 26 461
Anabik Pal India 13 124 1.6× 65 0.8× 11 0.1× 98 1.8× 6 0.1× 25 462
Han Zhao China 9 23 0.3× 98 1.3× 62 0.8× 12 0.2× 3 0.1× 30 341
Xuejian Li China 12 17 0.2× 48 0.6× 107 1.4× 14 0.3× 16 0.3× 45 485
Koushik Saha India 12 22 0.3× 34 0.4× 7 0.1× 37 0.7× 25 0.5× 75 496
Zijie Chen China 11 5 0.1× 65 0.8× 140 1.8× 44 0.8× 8 0.2× 33 425
Yuanli Wang China 13 44 0.6× 181 2.3× 73 0.9× 8 0.1× 3 0.1× 47 522
Jufeng Li China 11 15 0.2× 46 0.6× 27 0.4× 14 0.3× 4 0.1× 28 379

Countries citing papers authored by Alan J. Barton

Since Specialization
Citations

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

Fields of papers citing papers by Alan J. Barton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan J. Barton. 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 Alan J. Barton. The network helps show where Alan J. Barton may publish in the future.

Co-authorship network of co-authors of Alan J. Barton

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

All Works

20 of 20 papers shown
1.
Barton, Alan J.. (2020). Blue Kenue enhancements from 2014 to 2019. Hydraulic Engineering Repository (HENRY) (Bundesanstalt für Wasserbau). 4 indexed citations
2.
Valdés, Julio J., Enrique Romero, & Alan J. Barton. (2012). Data and knowledge visualization with virtual reality spaces, neural networks and rough sets: Application to cancer and geophysical prospecting data. Expert Systems with Applications. 39(18). 13193–13201. 11 indexed citations
3.
Barton, Alan J. & Arsalan S. Haqqani. (2010). Nonlinear Retention Time Shifts in nanoLC-MS Data: A Fuzzy-Evolutionary Computational Proteomics Approach.. 139–144.
4.
Barton, Alan J., Julio J. Valdés, & Robert Orchard. (2009). Neural networks with multiple general neuron models: A hybrid computational intelligence approach using Genetic Programming. Neural Networks. 22(5-6). 614–622. 4 indexed citations
5.
Barton, Alan J., Julio J. Valdés, & Robert Orchard. (2009). Learning the neuron functions within a neural network via Genetic Programming: Applications to geophysics and hydrogeology. NPARC. 54. 264–271. 1 indexed citations
6.
Valdés, Julio J. & Alan J. Barton. (2007). Multi-objective evolutionary optimization for constructing neural networks for virtual reality visual data mining: Application to geophysical prospecting. Neural Networks. 20(4). 498–508. 10 indexed citations
7.
Valdés, Julio J. & Alan J. Barton. (2007). Visualizing High Dimensional Objective Spaces for Multi-objective Optimization: A Virtual Reality Approach. 4199–4206. 33 indexed citations
8.
Valdés, Julio J., Alan J. Barton, & Robert Orchard. (2007). Virtual Reality High Dimensional Objective Spaces for Multi-objective Optimization: An Improved Representation. 2639. 4191–4198. 7 indexed citations
9.
Valdés, Julio J. & Alan J. Barton. (2007). Computational intelligence techniques. 2580–2587. 2 indexed citations
10.
Valdés, Julio J., Robert Orchard, & Alan J. Barton. (2007). Exploring medical data using visual spaces with genetic programming and implicit functional mappings. 2953–2960. 13 indexed citations
11.
Valdés, Julio J. & Alan J. Barton. (2006). Virtual reality visual data mining with nonlinear discriminant neural networks: application to leukemia and Alzheimer gene expression data. Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.. 4. 2475–2480. 7 indexed citations
12.
13.
Valdés, Julio J. & Alan J. Barton. (2006). Virtual Reality Visual Data Mining via Neural Networks obtained from Multi-objective Evolutionary Optimization: Application to Geophysical Prospecting. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 6. 4862–4869. 2 indexed citations
14.
Valdés, Julio J. & Alan J. Barton. (2004). Gene Discovery in Leukemia Revisited: A Computational Intelligence Perspective. Lecture notes in computer science. 118–127. 3 indexed citations
15.
Valdés, Julio J. & Alan J. Barton. (2004). Multivariate time series model discovery with similarity-based neuro-fuzzy networks and genetic algorithms. 3. 1945–1950. 5 indexed citations
16.
Valdés, Julio J., et al.. (2003). Behavior of similarity-based neuro-fuzzy networks and evolutionary algorithms in time series model mining. 4. 1972–1976. 5 indexed citations
17.
Day, Ronald W., Alan J. Barton, Theodore J. Pysher, & Robert E. Shaddy. (1998). Pulmonary Vascular Resistance of Children Treated With Nitrogen During Early Infancy. The Annals of Thoracic Surgery. 65(5). 1400–1404. 30 indexed citations
18.
Barton, Alan J., Richard D. Sagers, & William G. Pitt. (1996). Bacterial adhesion to orthopedic implant polymers. Journal of Biomedical Materials Research. 30(3). 403–410. 75 indexed citations
19.
Barton, Alan J., Richard D. Sagers, & William G. Pitt. (1996). Measurement of bacterial growth rates on polymers. Journal of Biomedical Materials Research. 32(2). 271–278. 39 indexed citations
20.
Pitt, William G., et al.. (1993). Air-water interface displaces adsorbed bacteria. Biomaterials. 14(8). 605–608. 57 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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