Samir W. Mahfoud

2.1k total citations · 1 hit paper
10 papers, 1.4k citations indexed

About

Samir W. Mahfoud is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Samir W. Mahfoud has authored 10 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 2 papers in Computational Theory and Mathematics. Recurrent topics in Samir W. Mahfoud's work include Metaheuristic Optimization Algorithms Research (5 papers), Evolutionary Algorithms and Applications (4 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). Samir W. Mahfoud is often cited by papers focused on Metaheuristic Optimization Algorithms Research (5 papers), Evolutionary Algorithms and Applications (4 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). Samir W. Mahfoud collaborates with scholars based in United States. Samir W. Mahfoud's co-authors include David E. Goldberg and has published in prestigious journals such as Parallel Computing, Complex Systems and international conference on Genetic algorithms.

In The Last Decade

Samir W. Mahfoud

10 papers receiving 1.2k citations

Hit Papers

align trajectories sort by overperformance

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.

Niching methods for genetic algorithms

1996 600 citations Samir W. Mahfoud profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samir W. Mahfoud United States	9	925	550	115	105	103	10	1.4k
Lashon B. Booker United States	10	1000 1.1×	356 0.6×	181 1.6×	71 0.7×	141 1.4×	22	1.7k
Kumara Sastry United States	25	1.2k 1.3×	525 1.0×	78 0.7×	98 0.9×	117 1.1×	67	1.7k
Ulrich Hammel Germany	5	611 0.7×	331 0.6×	70 0.6×	150 1.4×	123 1.2×	7	1.1k
Robert Hinterding Australia	10	1.1k 1.2×	684 1.2×	249 2.2×	137 1.3×	149 1.4×	12	1.7k
Marco A. Montes de Belgium	12	694 0.8×	426 0.8×	97 0.8×	123 1.2×	114 1.1×	24	1.1k
Saku Kukkonen Finland	12	1.0k 1.1×	983 1.8×	83 0.7×	143 1.4×	138 1.3×	21	1.6k
Anne Auger France	15	913 1.0×	600 1.1×	65 0.6×	58 0.6×	82 0.8×	52	1.3k
Dirk Schlierkamp-Voosen Germany	4	599 0.6×	322 0.6×	50 0.4×	84 0.8×	124 1.2×	5	1.0k
Isao Ono Japan	19	850 0.9×	629 1.1×	237 2.1×	164 1.6×	273 2.7×	103	1.7k
Yuanxiang Li China	18	507 0.5×	273 0.5×	153 1.3×	101 1.0×	119 1.2×	103	964

Countries citing papers authored by Samir W. Mahfoud

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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10 of 10 papers shown

1.

Mahfoud, Samir W.. (2002). Genetic drift in sharing methods. 67–72. 16 indexed citations

2.

Mahfoud, Samir W., et al.. (2002). An analysis of neural-network forecasts from a large-scale, real-world stock selection system. 72–78. 7 indexed citations

3.

Mahfoud, Samir W.. (2002). Crossover interactions among niches. 36. 188–193. 14 indexed citations

4.

Mahfoud, Samir W.. (1996). Niching methods for genetic algorithms. 600 indexed citations breakdown →

5.

Mahfoud, Samir W.. (1995). A Comparison of Parallel and Sequential Niching Methods. international conference on Genetic algorithms. 136–143. 105 indexed citations

6.

Mahfoud, Samir W. & David E. Goldberg. (1995). Parallel recombinative simulated annealing: A genetic algorithm. Parallel Computing. 21(1). 1–28. 220 indexed citations

7.

Mahfoud, Samir W.. (1993). Finite Markov Chain Models of an Alternative Selection Strategy for the Genetic Algorithm.. Complex Systems. 7. 19 indexed citations

8.

Mahfoud, Samir W.. (1993). Simple Analytical Models of Genetic Algorithms for Multimodal Function Optimization. international conference on Genetic algorithms. 50(89). 643–3. 22 indexed citations

9.

Mahfoud, Samir W. & David E. Goldberg. (1992). A Genetic Algorithm for Parallel Simulated Annealing.. 303–312. 45 indexed citations

10.

Mahfoud, Samir W.. (1992). Crowding and Preselection Revisited.. 27–36. 319 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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