Samir W. Mahfoud
- Artificial Intelligence top 1%
- Computational Theory and Mathematics top 1%
- Industrial and Manufacturing Engineering top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Co-authors
- David E. Goldberg
- Topics
- Metaheuristic Optimization Algorithms Research (5 papers)Evolutionary Algorithms and Applications (4 papers)Advanced Multi-Objective Optimization Algorithms (2 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceIndustrial and Manufacturing Engineering
- Journals
- Parallel ComputingComplex Systemsinternational conference on Genetic algorithms
- Partner nations
- United States
In The Last Decade
Samir W. Mahfoud
10 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Artificial Intelligence 925
- Computational Theory and Mathematics 550
- Industrial and Manufacturing Engineering 115
- Electrical and Electronic Engineering 105
- Control and Systems Engineering 103
Countries citing papers authored by Samir W. Mahfoud
This map shows the geographic impact of Samir W. Mahfoud'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 Samir W. Mahfoud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samir W. Mahfoud more than expected).
Fields of papers citing papers by Samir W. Mahfoud
This network shows the impact of papers produced by Samir W. Mahfoud. 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 Samir W. Mahfoud. The network helps show where Samir W. Mahfoud may publish in the future.
Co-authorship network of co-authors of Samir W. Mahfoud
This figure shows the co-authorship network connecting the top 25 collaborators of Samir W. Mahfoud. A scholar is included among the top collaborators of Samir W. Mahfoud 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 Samir W. Mahfoud. Samir W. Mahfoud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 7 | |
| 3 | 14 | |
| 4 | Niching methods for genetic algorithmsbreakdown → | 600 |
| 5 | A Comparison of Parallel and Sequential Niching Methods | 105 |
| 6 | 220 | |
| 7 | Finite Markov Chain Models of an Alternative Selection Strategy for the Genetic Algorithm. | 19 |
| 8 | 22 | |
| 9 | Crowding and Preselection Revisited. | 319 |
| 10 | A Genetic Algorithm for Parallel Simulated Annealing. | 45 |
About Samir W. Mahfoud
Samir W. Mahfoud is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computational Theory and Mathematics, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (5 papers), Evolutionary Algorithms and Applications (4 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). The work is most often cited by research in Computational Theory and Mathematics (550 citations), Artificial Intelligence (925 citations) and Industrial and Manufacturing Engineering (115 citations). Samir W. Mahfoud has collaborated with scholars based in United States. Frequent co-authors include David E. Goldberg. Their work appears in journals such as Parallel Computing, Complex Systems and international conference on Genetic algorithms.
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.