Sedigheh Mahdavi
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- Advanced Multi-Objective Optimization Algorithms 11
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research 15
- Evolutionary Algorithms and Applications 12
- Advanced Graph Neural Networks 2
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- Scheduling and Optimization Algorithms 1
- Numerical Analysis top 10%
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- Grey System Theory Applications 1
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- Complex Network Analysis Techniques 4
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- Optimization and Search Problems 1
- Co-authors
- Shahryar RahnamayanMohammad Ebrahim ShiriKalyanmoy DebAijun AnShima KhoshraftarAbbas Mahdavi
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceIndustrial and Manufacturing Engineering
- Journals
- Information Sciences (1 paper)Soft Computing (3 papers)Swarm and Evolutionary Computation (1 paper)
- Partner nations
- CanadaIranUnited States
In The Last Decade
Sedigheh Mahdavi
20 papers receiving 944 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Computational Theory and Mathematics 425
- Artificial Intelligence 693
- Industrial and Manufacturing Engineering 79
- Numerical Analysis 34
- Management Science and Operations Research 62
Countries citing papers authored by Sedigheh Mahdavi
This map shows the geographic impact of Sedigheh Mahdavi'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 Sedigheh Mahdavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sedigheh Mahdavi more than expected).
Fields of papers citing papers by Sedigheh Mahdavi
This network shows the impact of papers produced by Sedigheh Mahdavi. 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 Sedigheh Mahdavi. The network helps show where Sedigheh Mahdavi may publish in the future.
Co-authorship network
The 6 scholars most cited alongside Sedigheh Mahdavi, 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 | 2021 | 2 | |
| 2 | 2020 | 5 | |
| 3 | 2019 | 2 | |
| 4 | 2019 | 3 | |
| 5 | 2018 | 62 | |
| 6 | 2018 | 1 | |
| 7 | 2018 | 58 | |
| 8 | Opposition based learning: A literature reviewbreakdown → | 2017 | 335 |
| 9 | 2017 | 13 | |
| 10 | 2017 | 2 | |
| 11 | 2017 | 2 | |
| 12 | 2017 | 21 | |
| 13 | 2017 | 3 | |
| 14 | 2017 | 2 | |
| 15 | 2016 | 5 | |
| 16 | 2016 | 33 | |
| 17 | 2016 | 16 | |
| 18 | 2016 | 21 | |
| 19 | 2014 | 32 | |
| 20 | Metaheuristics in large-scale global continues optimization: A surveybreakdown → | 2014 | 342 |
About Sedigheh Mahdavi
Sedigheh Mahdavi is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 20 papers that have together received 960 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (15 papers), Evolutionary Algorithms and Applications (12 papers), Advanced Multi-Objective Optimization Algorithms (11 papers), Complex Network Analysis Techniques (4 papers), Advanced Graph Neural Networks (2 papers), Grey System Theory Applications (1 paper), Scheduling and Optimization Algorithms (1 paper) and Optimization and Search Problems (1 paper). The work is most often cited by research in Computational Theory and Mathematics (425 citations), Artificial Intelligence (693 citations) and Industrial and Manufacturing Engineering (79 citations). Sedigheh Mahdavi has collaborated with scholars based in Canada, Iran and United States. Frequent co-authors include Shahryar Rahnamayan, Mohammad Ebrahim Shiri, Kalyanmoy Deb, Aijun An, Shima Khoshraftar and Abbas Mahdavi. Their work appears in journals such as Information Sciences, Soft Computing and Swarm and Evolutionary Computation.
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.