Charles Newton
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Industrial and Manufacturing Engineering top 5%
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Ruhul SarkerHussein A. AbbassXin YaoKo-Hsin LiangJoarder KamruzzamanDavid HoffmanThomas Philip RúnarssonJohn S. Singleton
- Topics
- Metaheuristic Optimization Algorithms Research (6 papers)Advanced Multi-Objective Optimization Algorithms (5 papers)Optimization and Mathematical Programming (4 papers)
- Cited by
- Computational Theory and MathematicsIndustrial and Manufacturing EngineeringArtificial Intelligence
- Partner nations
- AustraliaUnited KingdomIceland
In The Last Decade
Charles Newton
13 papers receiving 743 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 398
- Computational Theory and Mathematics 333
- Industrial and Manufacturing Engineering 147
- Control and Systems Engineering 90
- Electrical and Electronic Engineering 76
Countries citing papers authored by Charles Newton
This map shows the geographic impact of Charles Newton'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 Charles Newton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Newton more than expected).
Fields of papers citing papers by Charles Newton
This network shows the impact of papers produced by Charles Newton. 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 Charles Newton. The network helps show where Charles Newton may publish in the future.
Co-authorship network of co-authors of Charles Newton
This figure shows the co-authorship network connecting the top 25 collaborators of Charles Newton. A scholar is included among the top collaborators of Charles Newton 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 Charles Newton. Charles Newton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 40 | |
| 3 | 23 | |
| 4 | 50 | |
| 5 | 28 | |
| 6 | 89 | |
| 7 | 7 | |
| 8 | 395 | |
| 9 | 64 | |
| 10 | 51 | |
| 11 | 9 | |
| 12 | 7 | |
| 13 | 30 |
About Charles Newton
Charles Newton is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics and Artificial Intelligence, having authored 13 papers that have together received 796 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (6 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Optimization and Mathematical Programming (4 papers). The work is most often cited by research in Computational Theory and Mathematics (333 citations), Industrial and Manufacturing Engineering (147 citations) and Artificial Intelligence (398 citations). Charles Newton has collaborated with scholars based in Australia, United Kingdom and Iceland. Frequent co-authors include Ruhul Sarker, Hussein A. Abbass, Xin Yao, Ko-Hsin Liang, Joarder Kamruzzaman, David Hoffman, Thomas Philip Rúnarsson and John S. Singleton. Their work appears in journals such as Computers & Operations Research, Computers & Industrial Engineering and Applied Intelligence.
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.