Beatrice Ombuki-Berman

1.3k citations
55 papers · 772 indexed · h-index 14
Topics
Metaheuristic Optimization Algorithms Research (38 papers)Evolutionary Algorithms and Applications (29 papers)Advanced Multi-Objective Optimization Algorithms (28 papers)

In The Last Decade

Beatrice Ombuki-Berman

52 papers receiving 756 citations

Peers

Beatrice Ombuki-Berman
Comparison fields: 5 of 93
  • Artificial Intelligence 398
  • Computational Theory and Mathematics 257
  • Industrial and Manufacturing Engineering 153
  • Control and Systems Engineering 116
  • Electrical and Electronic Engineering 78
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Ya-Hui Jia China
Myriam Delgado Brazil
Jianping Luo China
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Ranjith Kumar A India
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Wenyong Dong China
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Citations per field
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Citations per year

Countries citing papers authored by Beatrice Ombuki-Berman

Since Specialization
Citations

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

Fields of papers citing papers by Beatrice Ombuki-Berman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beatrice Ombuki-Berman. 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 Beatrice Ombuki-Berman. The network helps show where Beatrice Ombuki-Berman may publish in the future.

Co-authorship network of co-authors of Beatrice Ombuki-Berman

This figure shows the co-authorship network connecting the top 25 collaborators of Beatrice Ombuki-Berman. A scholar is included among the top collaborators of Beatrice Ombuki-Berman 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 Beatrice Ombuki-Berman. Beatrice Ombuki-Berman 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
#WorkIndexed citations
1 6
2 3
3 0
4 13
5 47
6 9
7 3
8 1
9 1
10 26
11 21
12 102
13 17
14 13
15 2
16 3
17 11
18
Waste collection vehicle routing problem with time windows using multi-objective genetic algorithms
29
19 110
20 1

About Beatrice Ombuki-Berman

Beatrice Ombuki-Berman is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Control and Systems Engineering, having authored 55 papers that have together received 772 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (38 papers), Evolutionary Algorithms and Applications (29 papers) and Advanced Multi-Objective Optimization Algorithms (28 papers). The work is most often cited by research in Computational Theory and Mathematics (257 citations), Industrial and Manufacturing Engineering (153 citations) and Artificial Intelligence (398 citations). Beatrice Ombuki-Berman has collaborated with scholars based in Canada, South Africa and Australia. Frequent co-authors include Andries P. Engelbrecht, Kyle Robert Harrison, Mario Ventresca, Sheridan Houghten, Yifeng Li, Joseph Alexander Brown, Alain Tchagang, James Paterson, Mitchell Clark and Naser Ezzati‐Jivan. Their work appears in journals such as European Journal of Operational Research, BMC Bioinformatics and Information Sciences.

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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