Mitsuo Gen
About
In The Last Decade
Mitsuo Gen
379 papers receiving 15.3k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Industrial and Manufacturing Engineering 7.8k
- Control and Systems Engineering 3.1k
- Artificial Intelligence 3.0k
- Management Science and Operations Research 2.3k
- Computational Theory and Mathematics 1.8k
Countries citing papers authored by Mitsuo Gen
This map shows the geographic impact of Mitsuo Gen'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 Mitsuo Gen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuo Gen more than expected).
Fields of papers citing papers by Mitsuo Gen
This network shows the impact of papers produced by Mitsuo Gen. 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 Mitsuo Gen. The network helps show where Mitsuo Gen may publish in the future.
Co-authorship network of co-authors of Mitsuo Gen
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuo Gen. A scholar is included among the top collaborators of Mitsuo Gen 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 Mitsuo Gen. Mitsuo Gen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 58 | |
| 5 | 28 | |
| 6 | 3 | |
| 7 | 40 | |
| 8 | Project scheduling using hybrid genetic algorithm with fuzzy logic controller in SCM environment | 0 |
| 9 | A HYBRID EVOLUTIONARY ALGORITHM FOR INTEGRATED PRODUCTION PLANNING AND SCHEDULING PROBLEMS | 4 |
| 10 | 38 | |
| 11 | Hybrid Priority-based Genetic Algorithm for Multi-stage Reverse Logistics Network | 7 |
| 12 | Multi-product Two-stage Transportation Problem with Multi-time Period and Inventory Using Priority-based Genetic Algorithm | 1 |
| 13 | 11 | |
| 14 | Multiobjective Genetic Algorithm for Real-time Task Scheduling in Heterogeneous Multiprocessors System | 2 |
| 15 | Evolutionary Algorithm for Process Plan Selection with Multiple Objectives | 2 |
| 16 | Reliability Optimization Design Using Hybrid NN-GA with Fuzzy Logic Controller | 10 |
| 17 | An adaptive hyperplane approach for multiple objective optimization problems with complex constraints | 2 |
| 18 | A tutorial survey of job-shop scheduling problems using genetic algorithms: Part II. Hybrid | 25 |
| 19 | An Application of Fuzzy Set Theory to Inventory Control | 1 |
| 20 | Interval Programming Using Genetic Algorithms | 19 |
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.