Mohammad Nabi Omidvar
- Computational Theory and Mathematics top 0.1%
- Advanced Multi-Objective Optimization Algorithms 30
- Artificial Intelligence top 0.5%
- Metaheuristic Optimization Algorithms Research 33
- Evolutionary Algorithms and Applications 22
- Data Stream Mining Techniques 3
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research 2
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- Advanced Bandit Algorithms Research 3
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- Advanced Control Systems Optimization 2
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- Topology Optimization in Engineering 2
Mohammad Nabi Omidvar
40 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Computational Theory and Mathematics 1.9k
- Artificial Intelligence 2.3k
- Numerical Analysis 130
- Industrial and Manufacturing Engineering 176
- Management Science and Operations Research 206
Countries citing papers authored by Mohammad Nabi Omidvar
This map shows the geographic impact of Mohammad Nabi Omidvar'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 Mohammad Nabi Omidvar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Nabi Omidvar more than expected).
Fields of papers citing papers by Mohammad Nabi Omidvar
This network shows the impact of papers produced by Mohammad Nabi Omidvar. 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 Mohammad Nabi Omidvar. The network helps show where Mohammad Nabi Omidvar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mohammad Nabi Omidvar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 9 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 8 | |
| 6 | 2019 | 56 | |
| 7 | 2018 | 23 | |
| 8 | 2018 | 20 | |
| 9 | 2018 | 9 | |
| 10 | 2018 | 9 | |
| 11 | 2017 | 265 | |
| 12 | 2016 | 3 | |
| 13 | 2016 | 55 | |
| 14 | 2014 | 16 | |
| 15 | 2014 | 51 | |
| 16 | Advanced decision support systems for managers | 2013 | 2 |
| 17 | Benchmark Functions for the CEC'2013 Special Session and Competition on Large-Scale Global Optimization | 2013 | 274 |
| 18 | Cooperative Co-Evolution With Differential Grouping for Large Scale Optimizationbreakdown → | 2013 | 559 |
| 19 | 2013 | 57 | |
| 20 | 2011 | 100 |
About Mohammad Nabi Omidvar
Mohammad Nabi Omidvar is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Management Science and Operations Research, Numerical Analysis and Transportation, having authored 40 papers that have together received 2.7k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (33 papers), Advanced Multi-Objective Optimization Algorithms (30 papers), Evolutionary Algorithms and Applications (22 papers), Data Stream Mining Techniques (3 papers), Advanced Bandit Algorithms Research (3 papers), Advanced Control Systems Optimization (2 papers), Topology Optimization in Engineering (2 papers) and Advanced Optimization Algorithms Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (1.9k citations), Artificial Intelligence (2.3k citations), Numerical Analysis (130 citations), Industrial and Manufacturing Engineering (176 citations) and Management Science and Operations Research (206 citations). Mohammad Nabi Omidvar has collaborated with scholars based in Australia, United Kingdom and China. Frequent co-authors include Xiaodong Li, Xin Yao, Yi Mei, Zhenyu Yang, Ke Tang, Ming Yang, Kai Qin, Borhan Kazimipour, Danial Yazdani and Yuan Sun. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Expert Systems with Applications, ACM Transactions on Mathematical Software, Structural and Multidisciplinary Optimization 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.