Beatrice M. Ombuki
- Industrial and Manufacturing Engineering top 1%
- Artificial Intelligence top 10%
- Automotive Engineering top 5%
- Building and Construction top 10%
- Computational Theory and Mathematics top 10%
- Topics
- Scheduling and Optimization Algorithms (6 papers)Metaheuristic Optimization Algorithms Research (4 papers)Advanced Manufacturing and Logistics Optimization (3 papers)
- Journals
- Applied IntelligenceIEICE Transactions on Fundamentals of Electronics Communications and Computer SciencesInternational Journal of Computational Intelligence and Applications
In The Last Decade
Beatrice M. Ombuki
13 papers receiving 479 citations
Hit Papers
Peers
Comparison fields: 5 of 50
- Industrial and Manufacturing Engineering 398
- Artificial Intelligence 145
- Automotive Engineering 143
- Building and Construction 81
- Computational Theory and Mathematics 69
Countries citing papers authored by Beatrice M. Ombuki
This map shows the geographic impact of Beatrice M. Ombuki'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 M. Ombuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatrice M. Ombuki more than expected).
Fields of papers citing papers by Beatrice M. Ombuki
This network shows the impact of papers produced by Beatrice M. Ombuki. 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 M. Ombuki. The network helps show where Beatrice M. Ombuki may publish in the future.
Co-authorship network of co-authors of Beatrice M. Ombuki
This figure shows the co-authorship network connecting the top 25 collaborators of Beatrice M. Ombuki. A scholar is included among the top collaborators of Beatrice M. Ombuki 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 M. Ombuki. Beatrice M. Ombuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Multi-Objective Genetic Algorithms for Vehicle Routing Problem with Time Windowsbreakdown → | 353 |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 98 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | A HYBRID SEARCH BASED ON GENETIC ALGORITHMS AND TABU SEARCH FOR VEHICLE ROUTING | 28 |
| 8 | 2 | |
| 9 | 2 | |
| 10 | An Evolutionary Algorithm Approach to the Design of Minimum Cost Survivable Networks with Bounded Rings | 3 |
| 11 | An Evolutionary Scheduling Scheme Based on gkGA Approach to the job Shop Scheduling Problem(Special Section of Papers Selected from ITC-CSCC'97) | 5 |
| 12 | 2 | |
| 13 | A Hybridized GA Approach to the Job Shop Problem | 1 |
About Beatrice M. Ombuki
Beatrice M. Ombuki is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics and Automotive Engineering, having authored 13 papers that have together received 514 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (6 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Advanced Manufacturing and Logistics Optimization (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (398 citations), Automotive Engineering (143 citations) and Building and Construction (81 citations). Beatrice M. Ombuki has collaborated with scholars based in Japan and Canada. Frequent co-authors include Brian J. Ross, Mario Ventresca, Morikazu Nakamura, Osamu Muta, Kenji Onaga and K. Shimabukuro. Their work appears in journals such as Applied Intelligence, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences and International Journal of Computational Intelligence and Applications.
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.