Majeed Heydari
- Management Science and Operations Research top 2%
- Safety, Risk, Reliability and Quality top 5%
- Control and Systems Engineering top 10%
- Strategy and Management top 10%
- Statistics, Probability and Uncertainty top 5%
- Topics
- Reliability and Maintenance Optimization (4 papers)Software Reliability and Analysis Research (3 papers)Optimization and Mathematical Programming (2 papers)
- Cited by
- Management Science and Operations ResearchSafety, Risk, Reliability and QualityStatistics, Probability and Uncertainty
- Journals
- SHILAP Revista de lepidopterologíaApplied Mathematical ModellingSoft Computing
- Partner nations
- Iran
In The Last Decade
Majeed Heydari
11 papers receiving 481 citations
Peers
Comparison fields: 5 of 86
- Management Science and Operations Research 246
- Safety, Risk, Reliability and Quality 93
- Control and Systems Engineering 82
- Strategy and Management 59
- Statistics, Probability and Uncertainty 57
Countries citing papers authored by Majeed Heydari
This map shows the geographic impact of Majeed Heydari'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 Majeed Heydari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Majeed Heydari more than expected).
Fields of papers citing papers by Majeed Heydari
This network shows the impact of papers produced by Majeed Heydari. 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 Majeed Heydari. The network helps show where Majeed Heydari may publish in the future.
Co-authorship network of co-authors of Majeed Heydari
This figure shows the co-authorship network connecting the top 25 collaborators of Majeed Heydari. A scholar is included among the top collaborators of Majeed Heydari 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 Majeed Heydari. Majeed Heydari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 16 | |
| 6 | Identifying and ranking earthquake disaster prevention strategies in Tehran | 1 |
| 7 | 78 | |
| 8 | 3 | |
| 9 | Change Point Estimation of a Process Variance with a Linear TrendDisturbance | 7 |
| 10 | 12 | |
| 11 | 367 |
About Majeed Heydari
Majeed Heydari is a scholar working on Software, Medical Laboratory Technology and Safety, Risk, Reliability and Quality, having authored 11 papers that have together received 503 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (4 papers), Software Reliability and Analysis Research (3 papers) and Optimization and Mathematical Programming (2 papers). The work is most often cited by research in Management Science and Operations Research (246 citations), Safety, Risk, Reliability and Quality (93 citations) and Statistics, Probability and Uncertainty (57 citations). Majeed Heydari has collaborated with scholars based in Iran. Frequent co-authors include Kamran Shahanaghi, Mohammad Kazem Sayadi and Rassoul Noorossana. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Mathematical Modelling and Soft Computing.
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.